OPSPO ORING VAN BORSTKANKER TUSSEN 70 EN 74 J AAR

84
2012 KCE REPORT 1 OPSPO 76A ORING VAN BO ORSTK KANKER R TUSS EN 70 E EN 74 J www.kce.fgo AAR ov.be

Transcript of OPSPO ORING VAN BORSTKANKER TUSSEN 70 EN 74 J AAR

2012

KCE REPORT 1

OPSPO

76A

ORING VAN BOORSTKKANKERR TUSSEN 70 EEN 74 J

www.kce.fgo

AAR

ov.be

Het Federa

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2012

KCE REPORT 1GOOD CLINICA

OPSPO FRANÇOISE M

76A AL PRACTICE

ORING

MAMBOURG, JO R

VAN BO

ROBAYS, SOPHI

ORSTK

IE GERKENS

KANKERR TUSSEN 70 EEN 74 J

www.kce.fgo

AAR

ov.be

COLOFONTitel:

Auteurs:

Reviewers:

Externe experte

Externe Validat

Belangenconflic

Layout:

Disclaimer:

Publicatiedatum

Domein:

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Fran

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WP 8

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poring van borstka

çoise Mambourg

k Hulstaert (KCE)

c Arbijn (WIV - ISBL Brummammo)en (UZ Leuven), Mdenbroucke (UCL

ppe Autier (IPRI-L

n gemeld

Verhulst

De externe expertapport. Hun opm

wetenschappelijkervolgens werd it een consensu

wetenschappelijkot slot werd dit r

Alleen het KCE islsook voor de aa

pril 2012

d Clinical Practice

st Neoplasms ; M

870 - Breast - Neo

erlands, Engels

anker tussen 70 e

(KCE), Jo Robays

), Pascale Jonckh

SP), Martine Berli, Joëlle Desreux

Myriam Provost (SSaint-Luc), Geert

Lyon), Geert Page

rten werden geramerkingen werdee rapport en gingeen (finale) vers

us of een meerde rapport en ging

rapport unaniems verantwoordel

anbevelingen aan

e (GCP)

Mammography ; M

oplasms

en 74 jaar

s (KCE), Sophie G

heer (KCE), Nancy

ière (UCL Saint-Lx (CHU Liège), ASSMG), Hubert Tht Villeirs (UZ Gent

e (Jan Yperman Z

aadpleegd over een tijdens vergadgen niet noodza

sie aan de validaderheidsstem tusgen niet noodza goedgekeurd dolijk voor de even de overheid.

ass Screening

Gerkens (KCE)

y Thiry (KCE)

Luc), Hilde BosmAndré-Robert Grivhierens (UGent), Rt).

Ziekenhuis), Chant

een (preliminairederingen besprokelijk akkoord m

atoren voorgelegssen de validatokelijk alle drie akoor de Raad van ntuele resterend

ans (UZ Leuven)vegnée (Institut JReinhilde Van Ee

tal Van Ongeval (

e) versie van heoken. Zij zijn gee

met de inhoud ervd. De validatie v

oren. Zij zijn geekkoord met de inBestuur.

de vergissingen

), Jean-Benoit BuJules Bordet), Paeckhoudt (WVG), A

(KU Leuven)

t wetenschappeen coauteur vanvan. van het rapport ven coauteur vannhoud ervan.

of onvolledighe

urrion atrick Anne

lijke n het

volgt het

eden

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mbourg F, Robays

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document is beondheidszorg.

worden gepubliceontent/de-copyrigh

J, Gerkens S. Ossel: Federaal Ke10.273/18.

eschikbaar op

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de website van

Licentie Creativeapporten

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e Commons « b

70 en 74 jaar. Goidszorg (KCE). 2

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voor de

 

KCE Report 176

VOOR

6A

RWOORD KeuzHoe hartingoedgevoMet tussehier egezoprimuOok immemet dwordmissondeen heOok fundemet dverw

JeanAdjun

zes maken in de zkan men bijvoo

ngreep te ontzegde algemene toesoed vanuit soms ddeze studie overen de 70 en 74 jaextra waakzaam

ondheidsklachten um non nocere is op het vlak van

ers doorgaans vedeze van screenin

dt duidelijk ook aen van een diag

erschat. Bovendieet ligt (dus) ook poal mobiliseert meeren, toch kan medit rapport beantw

wachten.

n-Pierre CLOSONnct Algemeen Dir

Opsporing borstk

zorg – het lijkt sneorbeeld verantwogen, louter omwi

stand? Dergelijke iametraal tegenov

r het al dan niet aaar begeven we ozijn. Zoals bij elkhebben en dus ohier dus des te bhet te gebruiken

eel vertrouwder mng. In het eerste gls minder belanggnose. Dit verklan laat het onderwolitiek gevoelig.

en alle op dit momen niet hopen datwoorden aan wat

ecteur

kanker

el op discriminatieoorden om aan lle van een leeftijdenkpistes roepever mekaar staanaanbieden van e

ons dus andermaae georganiseerdeook niet noodzakeelangrijker. argumentarium s

met de logica van geval is het risico grijk gezien dan haart mede waaro

werp de publieke o

ment voorhanden zt hiermee de contmen in een derge

e, zeker wanneer deen oudere patijdscriterium, ook

en steevast een vde waardensysteen georganiseerdal op glad ijs. Maae opsporing richt elijk om dit onder

staan we voor eede diagnosestellop vals positieve het risico op eenom de nadelen

opinie zeker niet o

zijnde wetenschatroverse zal ophoelijk debat van ee

de keuze gebeurtënt de terugbetaal is hij of zij voo

verhitte maatschamen. de borstkankerscrar ook om anderemen zich tot menrzoek gevraagd h

en bijzondere uitdling bij een persoresultaten niet all

n vals negatief revan screening s

onberoerd, er word

ppelijke bevindingouden. Alleen durven wetenschappel

t op basis van leealing voor een dor het overige noppelijke discussie

reening aan vroue redenen moetennsen die a priori ghebben. Het adag

daging. De clinicuoon met klachten leen kleiner, maaesultaat, namelijksystematisch wodt druk rond gelob

gen om een advieven we hopen daijk adviesorgaan

Raf MERTENS Algemeen Directe

i

eftijd. dure

og in e op,

uwen n we geen gium

us is dan

r het k het rden bbyd

es te at we mag

eur

ii

KORTTE SAMEENVATTTING

Opsporing borstk

IDvraggnBnedkmDle(odVcdOkegoegDdhin

kanker

NLEIDINGDit werk maakt devan het rapport:apport nr. 11). H

georganiseerde scgeen enkel sympnoch enige specifiBorstkankerscreennadelen inhoudt. Deen daling van ddaling van de morkan worden gegevminder vaak het gDe voornaamste evenskwaliteit. Eoverdiagnose) ge

diagnose kunnen dVals-positieve rescircuit van angdiagnostische ondOverdiagnose kakankergevallen dieen de frequentiegescreende popuoverdiagnose. Omeen kanker verdgediagnosticeerdeDoor screening kodoor klinische diahaar leven geconfnvasieve behande

G eel uit van een g

"BorstkankerscreHet gaat hier mecreening naar vrotoom vertonen deke risicofactor hning is een comDe voornaamste vde mortaliteit en rbiditeit houdt ofwven, ofwel dat er emetastaseerde snadelen van de

Een vals-positief evolgd door een bde levenskwaliteitsultaten doen gegstwekkende, enderzoeken. an worden gee zonder screenine neemt toe nalatie lager wordt

mdat het op dit moer zal evolueren

e kankers behandomen kankers tweagnose. Hierdoor fronteerd met hetelingen ertegen.

groter project meteening", gepubliceer bepaald om uwen van 70 tot 7at op borstkankeebben.

mplex proces dat voordelen van bor

de morbiditeit dwel in dat een mind

minder recidievenstadium bereikt.

screening hebbresultaat, een

behandeling en ht inderdaad negatezonde vrouwen n soms zelfs

edefinieerd als ng nooit klinisch zaarmate de levet. Overbehandelinoment onmogelijkn, wordt het oveld. ee tot drie jaar eewordt de vrouw

t feit dat zij aan

KCE Report 1

t als doel het updceerd in 2005 (de uitbreiding va74 jaar die voor deer zou kunnen w

t zowel voordelerstkankerscreenindoor borstkanker.der zware behandn optreden of de z

ben te maken meonterechte diag

het vervroegen vatief beïnvloeden. terechtkomen ininvasieve (biop

de opsporing zouden zijn opgemensverwachting ing is een gevolgk is te voorspellenvergrote deel va

erder aan het lichdus reeds vroeg

kanker lijdt en m

176A

daten (KCE-an de e rest

wijzen,

n als ng zijn Een

deling ziekte

et de gnose an de

n een psies)

van merkt, n de

g van n hoe

an de

ht dan ger in

met de

KCE Report 176

ONDERZDit rapport onborstkankerscreAls het antwoovraag: welk aleeftijdscategor

METHODHet onderzoek een literatuurovDARE. In dit ovNederlands en2011. De evaluatie vgebaseerd op Embase, NHS die werden gepjanuari 2000 totOm de risico’s/werd een specwerd in Medlinenaar onderzoebehandeling vabeschikbare BeTenslotte werdpraktijkaanbevewerd geen enke

6A

ZOEKSVRAderzoekt volgendeening uitbreiden rd op deze vraag antwoord moet rie die om een scr

DOLOGIE van de klinische

verzicht uitgevoerverzicht werden ar Frans werden g

van de risico’s/been overzicht vaEED en Econlit. Ipubliceerd in het t september 2011/baten-verhoudingcifiek model uitgee, Embase, HTA

eken rond de levan borstkanker. Helgische gegevensen op basis van elingen uitgewerkel belangenconflic

AGEN de vraag: moet tot de groep vrou negatief is, stelt men geven aa

reening vraagt?

voordelen van scrd in OVID Medlrtikels opgenomengepubliceerd van

baten-verhouding an modelleringson dit overzicht weEngels, Duits, Ne.

g in de Belgischeewerkt. Voor het o

EED en Psycinfovenskwaliteit tijde

Het model maakt ms. het verkregen be

kt en aan externe ct gemeld.

men de georganuwen van 70 tot 74zich nog een bijkan een vrouw

creening is gebasine, EMBASE, Cn die in het Engel

naf januari 2004

van deze screeonderzoeken uit Merden artikels opgederlands en Fran

context te kwantopbouwen van d

o (1950-10/2011) ens en na screemaximaal gebruik

ewijsmateriaal eeexperten voorge

Opsporing borstk

niseerde 4 jaar?

komende uit die

seerd op DSR en s, Duits, tot april

ening is Medline,

genomen ns vanaf

tificeren, it model gezocht

ening en k van de

n aantal elegd. Er

ROMDv•

Brevm

MNmbtuBo1mvraeAume

kanker

RESULTATONDERZOMortaliteit De beschikbare volgende feiten aa Screening gaa

een follow-up-de twee jaar e

De daling vantot uiting. Dezgemiddelde leop 70 jaar en

Bij de interpretatekening mee hou

vrouwen dat aan mortaliteit kon voo

Morbiditeit Naast het aantal gmen van screenibehandelingen te umoren aan hetBelgische gegevenom deze bewering

50) maken gewamastectomieën in van de vrouwen dadiotherapie, 38%

een hormonale beAnderzijds gaven uitsluitsel over hemetastatische stadeen daling van d

TEN VAN HEK

gerandomiseerdean het licht: at gepaard met ee-periode van 13 jaeen screening ondn de sterfte komt ze gegevens zijnevensverwachting13 jaar op 74 jaa

tie van deze buuden dat in de leede studies deelne

or hen niet statistis

gewonnen levensing verwacht dekunnen instellen,t licht te brengens waarover wij mg te valideren. Deag van 58% borsde minder gevor

die een borstspar% van hen kregenehandeling.

de gerandomiseeet percentage redia van de ziektede morbiditeit no

HET LITER

e en gecontrolee

en daling van de aar bij vrouwen bodergingen. tussen de 4 en 7

n te bekijken in hg in deze leeftijdr (Belgische gege

uitenlandse studieeftijdsgroep van 70eemt niet erg hoosch worden aange

sjaren is het voore mogelijkheid o aangezien screeen wanneer ze

momenteel beschie meest recente gstsparende chirurgrderde stadia (Starende ingreep ondn neo-adjuvante c

erde gecontroleerecidieven, noch o. Op deze basis ch worden ontkr

RATUUR-

erde studies bra

mortaliteit van 23oven de 50 jaar d

7 jaar na de screhet perspectief vascategorie, nl. 16

evens voor 2009). es moet men e0 tot 74 jaar het aog is; het effect oetoond.

rnaamste voordeem minder agres

ening tot doel heenog kleiner zijnkken laten ons nieegevens (KCE-ragie versus 38%

adia I en II). Bijnadergingen, kregenchemotherapie en

rde onderzoeken over de evolutie kan de hypothese

racht, noch beve

iii

chten

3% op ie om

ening an de 6 jaar

r wel aantal op de

el dat ssieve eft om n. De et toe

apport totale

a 90% n ook

n 41%

geen naar

e van stigd.

iv

Daarentegen wkanker wel in he

MODELLDe voornaamsCISNET-projecHet doel van dvan screening daling van de Staten van 197van het Breast De resultaten vlevensjaren perapport wordenvan de CISNETDeze modellen aangezien het werd een nieuw

EEN COHMethodologieHet model dat evolueert via javrouwen ouder uitnodiging vooworden vrouweVoor het deelnopgespoorde kals in de leeftijdDe bedoeling vhet licht te bren(metastatisch sbij de opgespootegelijkertijd het

werd het verlies vaet model opgenom

ERING ste modelleringsot (Cancer Interveeze modellen wadoor mammografmortaliteit door

74 tot 2000. Ze mCancer Screening

van deze modellener 1000 gescree ook andere mod

T-methodologie. zijn niet zonder minvoegen van Be

w, specifiek model

HORTMODe voor dit rapport

aarcycli. In dit moddan 70 jaar met

or een screeningen verder uitgenoemingspercentag

kankers versus ddsgroep van 50-69van screening is tngen teneinde ee

stadium) dat ongeorde kankers het t aantal gevorderd

an levenskwaliteit men (zie hieronde

onderzoeken weention and Surveias het evalueren vfie resp. van adjuborstkanker vastmaakten gebruik g Consortium. n wijzen op een wende vrouwen. dellen beschreven

meer aanpasbaar elgische gegevenl ontwikkeld.

DEL VOOR

werd ontworpendel worden twee t

elkaar vergelekeg (huidige situatiodigd om deel te

ge en de verdeline intervalkankers9 jaar genomen. umoren in een vren evolutie te vooeneeslijk is. Dezeaantal vroege stade stadia (II en IV

bij een gemetaster).

erden uitgevoerd llane Modeling Nvan het relatieve uvante behandelintgesteld in de Vevan gegevens af

winst gaande van In het wetensch

n die geen gebruik

aan de Belgischens onmogelijk is.

BELGIE

, is een cohortmotheoretische cohoen. Eén cohort krie), in de anderee nemen aan scg van de door sc

s worden dezelfd

roeg stadium (I enorkomen naar sta ‘stage shift’ houd

adia (I, II) toeneemV) vermindert.

Opsporing borstk

taseerde

in het Network).

aandeel ng in de erenigde fkomstig

9 tot 22 happelijk k maken

e situatie Daarom

odel dat orten van jgt geen

e cohort creening. creening e cijfers

n II) aan adium IV dt in dat mt terwijl

Vletupvo

PDg(2GppfuGorepli

MDagDgkbDd•

kanker

Verder hebben wevenskwaliteit afumorstadium. Deprognose van de van klinisch opgoptreden bij vrouw

Parameters Dit model maaktgemiddelde leven2009), de geg

Gemeenschap), dprogramma (50-69positief resultaat (unctie van het stGemeenschap wopportunistische sest van het land

percentage oveteratuuranalyse.

Meting van de lDe gegevens overafkomstig uit gezondheidstoestaDimensions) insgevaloriseerd dookonden niet over bevolking. De veranderingende modellen werde Het verlies aa

wordt geraam

we de hypotheshangen van de

eze hypothese hodoor screening

gespoorde kankewen die niet aan sc

t maximaal gebrnsverwachting vaevens van hetde gegevens af9 jaar), de tijd no(IMA/AIM) en de gtadium (kankerre

werden gebruiktscreening na 70 jd. Hoeveel vroegrdiagnose werd

levenskwaliteitr de levenskwalitede literatuur.

and werd hetstrument gebruor de algemene gegevens besch

in levenskwaliteien gebruikt, zijn d

an levenskwaliteit md op 16%, gedure

se vooropgesteldleeftijd van de

oudt geen rekeninopgespoorde kaners (intervalkankcreening deelnem

ruik van Belgiscan de vrouwen t kankerregisterkomstig van het

odig voor het ontkgegevens over ovgister). De gegevomdat ze vollejaar er minder va

ger de diagnose den bepaald o

t eit tijdens screenin

Voor het bEQ-5D (Europea

uikt; deze beengelse bevolki

hikken met betrek

it van vrouwen oude volgende: na een vals-positende 45 dagen.

KCE Report 1

d dat overlevingpatiënte en van

ng met het feit dnkers beter is dakers en kankersmen).

che gegevens, nvolgens hun le(voor de Vla

t huidige screenkrachten van een verleving na vijf javens van de Vladiger zijn en oaak gebeurt dan wordt gesteld e

op basis van

ng en behandelineschrijven van an Quality of schrijvingen weing ("UK tariffs")kking tot de Belg

uder dan 70 jaar

tief screeningsres

176A

g en n het at de

an die s die

nl. de eeftijd amse nings-

vals-aar in amse

omdat in de n het

de

g zijn de

Life-5 erden ). We gische

die in

ultaat

KCE Report 176

• Voor de kdiagnose levenskwade stadia levenskwastationair (

Omdat aan demoeten deze ci

Resultaten Het basisscenazou kunnen vodaling van de gewonnen leve3,9. Omdat er veeldetails, zie desensitiviteitsanapessimistisch sHet pessimistioverdiagnoselevenskwaliteit tijd nodig om dwerd de verdemomenteel woscreening (50-6winst van 8,7 vrouwen die aaomstandighedeleiden tot een d

6A

kankerpatiënten e(ongeacht het tyliteit geraamd op

IV. Tijdens de liteit geraamd op 18%) voor de stad

eze benadering vjfers met de nodig

ario toont dat screoorkomen per 10

sterfte met 21%nsjaren wordt ger

l onzekerheid is bespreking in halyse op het modcenario en een opsch scenario gen 10% vals-poptreedt van 0,1

de resultaten te ling van de opgeordt vastgesteld 69 jaar) in Vlaandlevensjaren, maaan de screening en - en we blijven daling van de leve

en tijdens het eeype behandeling16% voor de stadvolgende jaren

6% voor de staddia IV.

verschillende bepege omzichtigheid

eening tussen 70 000 deelnemende% vertegenwoordraamd op 13,1 en

met betrekking thet wetenschappdel uitgevoerd. Dptimistisch scenaraat uit van eepositieven, waar9 dat gedurendeontkrachten). Voespoorde kankers

in het kader eren. Dit pessimis

ar een verlies vadeelnamen. Dit bhierbij zeker realinskwaliteit.

erste jaar volgend) wordt het verldia I,II,III en op 1 wordt het verldia I,II,III. Dit ver

erkingen verbondworden geïnterpr

en 74 jaar 1,3 ove vrouwen, hetgedigt. Het globaan de winst aan QA

tot deze ramingepelijk rapport), wDeze analyse omrio. n hypothese mrdoor een verlie 54 dagen aanhoor de gescreends per stadia gebvan de georganstisch scenario raan 3,1 QALY’s pbetekent dat in bistisch - de screen

Opsporing borstk

d op de lies aan 8% voor ies aan

rlies blijft

den zijn, eteerd.

verlijden een een

al aantal ALY’s op

en (voor erd een

mvat een

et 20% es van oudt (de

de groep ruikt die niseerde

aamt een per 1000 bepaalde ning kan

Holeov(les6

CHwUhlelebrelebdEu

kanker

Het optimistisch overdiagnose enevenskwaliteit opop de gescreendevastgesteld in het70-74 jaar). Ditevensjaren en eescreening deelnam67 vrouwen voor e

CONCLUSHet doel van het welzijn van de Uiteraard zou het het mogelijk maevensjaren te winevenskwaliteit isbewijskracht, waealistische hypoevenskwaliteit kubalans tussen de doorslaan naar deEr wordt dus niet auit te breiden tot d

scenario gaatn 2% vals-posirtreedt van 0,13 g

e groep de verdelt kader van de int optimistisch s

en winst van 16,3men. Dit betekenteen screening uit t

IE organiseren van

bevolking door uitbreiden van de

aken om voor ennen. De invloeds echter veel nt gebaseerd othesen zou dez

unnen veroorzakevoor- en nadelen

e kant van een veraanbevolen om de groep vrouwen

uit van een itieven, waardoogedurende 36 daing per stadia toen Nederland geocenario raamt e

3 QALY’s per 100t dat het nodig is te nodigen om éé

n screenings is hvoortijdige overlie screening naar een bepaald aad van georganise

onzekerder (ergop een model)ze interventie zeen. In deze omn van screening grlies van welzijn ve georganiseerdevan 70 tot 74 jaar

hypothese metor een verlies agen. Dit scenarioe die momenteel wrganiseerde screeen winst van

00 vrouwen die aaom gedurende vij

én QALY te winne

et verbeteren vaijdens te voorkode leeftijd van 74

antal vrouwen eeerde screening og laag niveau ). Volgens bepelfs een verliesstandigheden zoglobaal eerder kuan de bevolking.

e borstkankerscrer.

v

t 3% van

o past wordt ening 17,0

an de jf jaar n.

n het omen. 4 jaar

enkele op de

van aalde van

ou de unnen

ening

vi

AANB

a Het KCE b

BEVELIN

blijft als enige veran

NGENa

ntwoordelijk voor de

• Het sygeorg

• Als eescreenvoord

• Elke svan kwregistom ekwalit

• Om heminimverder

e aanbevelingen die

Opsporing borstk

ystematisch uitnaniseerde borstk

en vrouw bovenning zal de arts eelen en mogelijk

screeningsmammwaliteit, met namratie en de optimeen screening eitsvereisten bea

et risico op een maliseren is het

r onderzoek zo la

e aan de overheid w

kanker

nodigen van vrokankerscreening

n de 70 jaar vrerover waken dake nadelen die de

mografie moet bme: de controle emalisering van he

vraagt, doorantwoordt.

verlies aan levebelangrijk dat daag mogelijk is e

worden geformuleerd

ouwen tussen 70g wordt niet aanb

raagt om een mat de vrouw goedeze screening me

eantwoorden aaen kwaliteit van et recall-percentarverwijzen naar

enskwaliteit te wde proportie vroen onder de Euro

d.

0 en 74 jaar ombevolen.

mammografie ind op de hoogte wet zich mee kan

an de Europese vde installaties, dage. Daarom zalr een structu

wijten aan vals pouwen die teruggopese vereisten

KCE Report 1

m deel te nemen

n het kader vanwordt gebracht va

brengen.

vereisten op hetde dubbele lezin de arts de vrouw

uur die aan

ositieve resultatgeroepen wordt blijft (<5%).

176A

n aan

n een an de

t vlak g, de w die deze

ten te voor

KCE Report 176

TABL

6

LE OF COONTENTLILILI

1.2.3.3.3.

4.4.

4.

4.

5.6.

S

TS ST OF FIGURESST OF TABLES .ST OF ABBREVI

SYNTHESCONTEXTONDERZOBESCHRI

1. INTUÏTIEV2. EPIDEMIO

3.2.1. D3.2.2. U3.2.3. VMETHODO

1. RAMING V4.1.1. D4.1.2. V

2. RAMING V4.2.1. V

3. BENADER4.3.1. M4.3.2. B4.3.3. B4.3.4. G4.3.5. SRESULTABESPREK

Screening Breast C

S .......................................................IATIONS .............

SE ........................T ...........................OEKSVRAGEN ...JVING VAN DE P

VE BENADERINGOLOGISCHE BENDoel op korte termUiteindelijk doel ....Vals-positieven enOLOGIE ..............VAN DE VOORDE

Daling van de morVerbetering van deVAN DE NADELE

Vermindering van RING DOOR MODMeting van de leveBeschrijving van hBasishypothesen ..Gegevensinvoer voSensitiviteitsanalysATEN ....................KING ....................

Cancer

............................

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............................

............................PROBLEMATIEKG ..........................NADERING..........

mijn ................................................... overtollige diagn............................ELEN VAN SCRErtaliteit ..................e levenskwaliteit vEN VAN SCREENde levenskwaliteit

DELLISERING ....enskwaliteit .........et product .......................................oor het model .....se ................................................................................

............................

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EENING ...........................................

van patiënten .......ING .....................t van patiënten ....................................................................................................................................................................................................................................

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2

6.6.

7.7.7.7.8.

1.1.1.1.1.1.2.2.

2.

S

1. LEVENSJA2. TOEVOEG

6.2.1. M6.2.2. V6.2.3. OCONCLUS

1. MOET ME2. WAT MOE3. KERNBOO

REFEREN

SCIENTIFINTRODU

1. CONTEXT2. SCOPE O3. BREAST C4. CLINICAL5. SCIENTIF

LITERATU1. REVIEW O

2.1.1. M2.1.2. D2.1.3. D2.1.4. S2.1.5. K2.1.6. C

2. REVIEW O2.2.1. L2.2.2. S

Screening Breast C

AREN TOEVOEGGEN VAN LEVENMinder agressieveVals-positieven .....Overtollige diagnosSIES ....................

EN DE SCREENINET MEN ZEGGENODSCHAPPEN ...NTIES ...................

FIC REPORT ........CTION ................

T OF THIS REPOOF THIS REPORTCANCER SCREE QUESTIONS .....

FIC APPROACH ..URE REVIEWS ...OF CLINICAL STUMethodology .........Description of screDescription of screScreening conditioKey data ...............Conclusion ............OF MODELING SLiterature search sSelection criteria ...

Cancer

GEN? ...................NSKWALITEIT AAe behandelingen?............................ses en behandelin............................NG UITBREIDEN N TEGEN EEN PE........................................................

............................

............................RT ......................

T ...........................ENING IN BELGIU....................................................................................UDIES .............................................

eening benefit ......eening harms .......ons ...............................................................................

STUDIES ..............strategy ...........................................

............................AN LEVENSJARE

............................

............................ngen ................................................TOT DE LEEFTIJ

ERSOON DIE OM........................................................

............................

............................

............................

............................UM ....................................................................................................................................................................................................................................................................................................................................................................................................

............................N? ......................................................................................................................................JD VAN 74 JAAR

M SCREENING VR........................................................

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KCE Report

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KCE Report 176

6

2.

3.3.3.3.

3.3.4.4.4.4.4.4.4.4.

S

2.2.3. Q2.2.4. S2.2.5. C

3. REVIEW O2.3.1. M2.3.2. R2.3.3. DDECISION

1. DATA SOU2. MODEL D3. DESCRIPT

3.3.1. A3.3.2. B3.3.3. P3.3.4. P3.3.5. R3.3.6. S3.3.7. S3.3.8. Q

4. RESULTS5. DISCUSS

ANSWER 1. BREAST C2. DELAY BE3. OVERALL4. MORBIDIT5. FALSE PO6. ADDITION7. OVER-DIA

Screening Breast C

Quantity of researcSelected studies ...Conclusion ............OF QUALITY OFMethods ................Results .................Discussion ............N ANALYSIS .......URCES ...............

DESCRIPTION .....TION OF THE PA

Age specific overaBreast cancer incidParticipation rate ..Proportion of screeRecall rate ............Stage distribution aStage specific relaQALY ....................S ...........................ION .....................TO CLINICAL Q

CANCER RELATEETWEEN THE SCL MORTALITY .....TY ........................OSITIVE OR FALSNAL DIAGNOSTICAGNOSIS AND O

Cancer

ch available .................................................................LIFE STUDIES ...........................................................................................................................................................................ARAMETERS ......all survival ............dence ..............................................en detected breas............................and stage shift ....

ative survival ............................................................................................

QUESTIONS .........ED MORTALITY .

CREENING AND T........................................................SE NEGATIVE RC TESTS .............

OVER-TREATMEN

............................

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............................st cancers ............................................................................................................................................................................................................................................THE MORTALITY........................................................ESULTS ..........................................

NT ........................

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............................Y REDUCTION ...............................................................................................................................................

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4

LIST OF F

LIST OF T

FIGURES

TABLES

4.5.

FiFiFiFi

TaTaTaTawoTaTaTaTaTapaTaTaTa

S

8. WHAT ATREFEREN

gure 2.1: Health sgure 2.2: Percentgure 3.1: Compargure 3.2: Compar

able 2.1: Data issuable 2.2: Selectionable 2.3: Modelingable 2.4: results omen screened foable 2.5: Article seable 2.6: Health stable 2.7: Descriptable 2.8: Descriptable 3.1: Stage diarticipants, age 50able 3.2: Parametable 3.3 Modelingable 3.4 Modeling

Screening Breast C

TTITUDE SHOULDNCES ...................

states for which uttage change in utirison of the two cortments in the two

ued from clinical ln criteria ..............g studies excludedof the different m

or the different moelection criteria ....tates descriptionsion of a “false posion of the selectedistribution among 0-69, Flemish screters used in the m results: baseline results: sensitivit

Cancer

D BE RECOMME............................

tilities are neededlities ....................

ohorts with and wo cohorts and the t

iterature review ..............................d after full-text assmodels in terms oodels ................................................s for the study of Lsitive” state (Gerad utilities .............screen detected

eening program 2model ....................

, worst and best cty analysis. ..........

NDED FOR WOM............................

d (reflection proce............................ithout a screeningtransitions betwee

............................

............................sessment ............of mortality reduc........................................................

Lidgren et al. ........rd et al)83 .........................................breast cancers, i001-2006. .......................................

case scenario. .................................

MEN IN CASE OF............................

ss) ..................................................g program ............en them ..............

............................

............................

............................ction and years o............................................................................................................................................nterval cancers a................................................................................................................

KCE Report

F SELF REFERRA............................

............................

............................

............................

............................

............................

............................

............................of life gained per............................................................................................................................................

and cancers amon................................................................................................................

t 176

AL?62 .... 63

.... 37

.... 43

.... 47

.... 48

.... 29

.... 31

.... 31 r 1000 .... 33 .... 35 .... 39 .... 40 .... 41 ng non .... 50 .... 53 .... 56 .... 57

KCE Report 176

LIST OF A

6

ABBREVIAATIONS AB

CPCCCIDCDEBCAHBCDNCIIMINICKCMMNINBNBNHNHNCQAQoRCRR

S

BBREVIATION

PG CRT I CIS ET CSC HRQ CR NETB ISNET

MA/AIM NAMI/RIZIV CER CE ST -A IS BSS BCSP HS HS EED CI ALY oL CT R

Screening Breast C

DEFINITION

Clinical PracticCochrane CenConfidence IntDuctal CarcinoData ExtractioBreast CancerAgency for HeBelgian CanceDutch NationaCancer InterveIntermutualistiNational InstituIncremental coBelgian HealthMean Sojourn Meta-analysisNational InstituCanadian NatiNorwegian BreNational HealtNHS EconomiNational CancQuality AdjusteQuality of LifeRandomized CRelative Risk

Cancer

ce Guideline ntral Register of Cterval oma in situ on Table r Surveillance Con

ealth Care Researer Registry al Evaluation Teamention and Surveic Agency ute for Health andost-effectiveness rhcare Knowledge

Time

ute for Statistics ional Breast Canceast Cancer Screeth Service (UK) c Evaluation Data

cer Institute (USA)ed Life Year

Controlled Trial

Controlled Trials

nsortium (USA) rch and Quality

m for Breast cancellance Modelling N

d Disability Insuranratio Centre

cer Screening Stuening Programme

abase )

er screening Network

nce

dy es

5

6

SESRSTTTUKUSUS

S

EER R T TO K SA SPSTF

Screening Breast C

Surveillance, ESystematic ReSojourn TimeTime-trade-offUnited KingdoUnites States US Preventive

Cancer

Epidemiology andeview

f om of America

e Services Task F

d End Results (US

orce

SA)

KCE Reportt 176

KCE Report 176

SYNT

6

THESE

SScreening Breast C

1Hbbr4ggdpbg7DlegoENnh

2MlemDe

Cancer

1. CONTEXHet KCE publicebasisrapport, geborstkankerscreenisicofactoren. Bor

40-49 jaar was gepubliceerd in 20geen systematiscderde rapport (KCprobleem van deborstkanker hebbgeorganiseerde b70 tot 74 jaar. Deze vraag wordtevensverwachtinggroepen die actieopenbare instantieEuropese Unie ricNederland, Spanjenoodzakelijk is omhen te nemen.

2. ONDERZMoet de georganeeftijd van 74 jaamen dan zeggen tDe eerste vraag hen de tweede op d

XT erde al drie rappubliceerd in

ning in het arstkankerscreenin

het onderwerp010. In dit rapporhe screening aanCE-rapport nr. 1

e opsporing van ben. In dit raporstkankerscreen

t vaak gesteld aang van de vrouwef zijn bij screenes hierover mindechten zich op de e en Zweden)1. D

m de vrouwen te i

ZOEKSVRiseerde borstkanr? Als het antwootegen een persooneeft meer specifie

de zorgverleners.

porten over bors2005 (KCE-rapplgemeen, in d

ng bij vrouwen in p van een gert (KCE-rapport nn bij vrouwen jon72), gepubliceerdvrouwen die ee

pport wordt onding moet uitbreid

n politici omwille welijke bevolking.ning deze uitbre

er unaniem. Slechleeftijdsgroep van

De andere landennformeren en de

RAGEN kerscreening wor

ord op deze vraagn die om deze screk betrekking op d

skankerscreeningport nr. 11) be bevolking zode leeftijdsklasse

edeeltelijke bijwer. 129) beval het nger dan 50 jaard in 2012, stelde

en verhoogd risicderzocht of menden naar vrouwen

van de stijging va. Hoewel de m

eiding vragen, zijts vier lidstaten va

n 70-74 jaar (Frann benadrukken da

beslissing samen

rden uitgebreid tg negatief is, wat reening vraagt? de openbare insta

7

. Het betrof onder e van erking

KCE r. Het e het co op n de n van

an de eeste jn de an de nkrijk, at het n met

ot de moet

anties

8

3. BESCHPROB

3.1. IntuïtievOp intuïtief vlameestal erg endoor Schwartz Staten toonde screening een verklaarde dat hgevallen levensdat voor de memaar een moreDeze algemen"vroegtijdige opverwachtingen interviews om tscreening via mborstkanker alskankers beginnvrouwen warendoor een mamvermeerdert enuit dat gevordekankers) samenSchwartz beklekankers kan opvan de responvoor een persooHet medisch komanier. Daardpercentage geuiteindelijke doAnderzijds lijke

HRIJVING LEMATIEKve benadering ak heeft borstkanthousiast over scbegin 21ste eeuw2

aan dat 87% vagoed idee is. Dr

het opsporen vans redt. Het enthoueesten van hen s

ele verplichting3. ne houding die

psporing van kankwekken bij vrou

te evalueren hoe mammografie ziens een uniform prnen met een genen van oordeel dat

mmografie en vroen doodt. Omwille verde kankers (en nhangen met het

emtoonde dat 94%psporen die zich nndenten ervan ovon die geen borstorps zelf begrijpt door blijven talrediagnosticeerde oel van de opspen clinici gevoelig

VAN DE K nkerscreening zecreening. Deze h2. Een enquête uian de volwassenrie vierde van de kanker in een vrosiasme van de rescreening geen t

e we als volgkers kan levens reuwen. Silverman vrouwen borstka

n. De meeste resrogressieve ziekt

eesbare en stille vindien borstkank

egtijdig behandeldvan deze opvattin

zonder enige twfalen van vroegtij

% van de vrouwennooit zullen ontwikvertuigd dat mamtkanker heeft5. de screening nie

rijke clinici zichkankers (tusse

oring het verlageer voor het risico

S

eker zin. De meouding werd aantgevoerd in de Veen van oordeel

e ondervraagde poeg stadium in de

espondenten was te nemen besliss

t kunnen sameedden", kan onrea

realiseerde telefnker en het voord

spondenten beschte en geloofden vorm4. Samengevker niet wordt opgd, de kanker grogen, gaan vrouwe

wijfel de meeste ddige opsporing.

n niet weten dat sckkelen. Bovendien

mmografie ongeva

et altijd op een ah concentreren ntijds doel), teren van de mortao van het misken

Screening Breast C

edia zijn ngetoond erenigde was dat

personen e meeste zo groot

sen was,

envatten alistische fonische deel van houwden

dat alle vat, deze gespoord oeit, zich en ervan dodelijke

creening n is 92% aarlijk is

adequate op het

rwijl het aliteit is. nen van

ep

3BwdvintoNb1vgp6v

E

1

2

3

4

Wtu

Cancer

een kanker (vals-npositieve resultate

3.2. EpidemiolBorstkanker is dewerden 10.849 gedan drie vierde vavan 50 jaar. Het ncidentie van borot 75 jaar6. Nochtans verschilborstkanker in het

999 was borstkavrouwen van 50 togroep van 70 topercentage 14% v60 tot 64 jaar, 7%van 75 tot 79 jaar6

Essentiële kenmer

. Screening istegenstellingeen klacht opersoon die die wordt op

2. Screening heziekte te beve

3. Screening hesamenhangt m

4. Het principe “vooral van toe

Wij wensen eraaussen 70 en 74 ja

negatief) dan vooren.

logische benade meest voorkomevallen van borstkan de borstkanker

gemiddelde ogerstkanker is 370,7

t het relatieve aat totale percentaganker verantwoorot 54 jaar, 13% in ot 74 jaar (KCEvoor vrouwen van

% voor de groep v6.

rken van screenin

s bedoeld voor g tot een patiëntof een symptoodeelneemt aan e

pgespoord. eeft als doel om oestigen.

eeft als uiteindemet de ziekte te v

“primum non noceepassing op scree

n te herinneren aar, meer dan 990

r de risico's die sa

dering mende kanker bijkanker gediagnosrs wordt gediagno

enblik van de dia7/100.000 in de g

andeel van mortae mortaliteit in fun

rdelijk voor 18% de groep van 60

E-rapport nr.11). n 50 tot 54 jaar, 1van 70 tot 74 jaar

ng:

personen in gt die zijn arts raaom, wordt ervaneen screening n

op korte termijn d

elijk doel de moverminderen.

ere” (in ieder gevaening.

dat op duizend 0 geen borstkanke

KCE Report

amenhangen met

j de vrouw. In Bsticeerd in 2008. osticeerd na de leagnose is 62 jaagroep vrouwen va

aliteit veroorzaakt nctie van de leeftvan de overlijdentot 64 jaar en 6% In 2006 bedroe2% voor de groep

r en 5% voor de g

goede gezondheadpleegt omwillen uitgegaan dat

niet lijdt aan de z

de afwezigheid va

ortaliteit/morbiditei

al geen kwaad do

gescreende vroer hebben.

t 176

t vals-

België Meer

eeftijd r. De an 70

door ijd. In ns bij in de

eg dit p van groep

id In e van t een ziekte

an de

it die

en) is

ouwen

KCE Report 176

3.2.1. Doel oScreening heefDe persoon dieonschuld" wat arts raadpleegt opgemerkt, "vehiertoe worden elkaar. In het gde plicht om allklacht of het syarts de plicht obedoeling hiervvrouwen die geOmdat de oplezieken gaat dezvan een clinicus3.2.2. UiteindDiagnosticeren kan ontwikkeleborstkankerscredie specifiek gede totale mortagevorderde, envormt een tussevoorwaarde dieMen kan ook dgepaard gaat mminder invasievin plaats van progressie naar

6

op korte termijn ft als doel om dee aan screening dbetreft borstkankomdat hij een klardacht" van ziektegebruikt, staan in

geval van het schle middelen in te

ymptoom. In het gom alleen de onovan is om de risicoeen borstkanker heeiding van artseze verandering vas. delijk doel

van kanker in eeen en uitzaaien eening. Daarom vekoppeld is aan dliteit. Het feit dat d

n dus mogelijk noenstap in dit proc

e echter onvoldoende hypothese voomet de ziekte veve behandelingentotale mastectom

r metastatische fa

afwezigheid vandeelneemt, geniet ker. Daarentegen acht heeft of omdae. Het doel van den deze twee situaerpstellen van eezetten om een et

geval van screeniontbeerlijke onderzo's en ongemakkeebben zo gering mn voornamelijk g

an gezichtspunt vo

en vroeg stadium(metastasen) is

verwacht men dae ziekte zal vermde gebruikte techog geneesbare laces. Het betreft hinde is7. ropstellen dat scr

ermindert, doordan te gebruiken (gmie) en doordat asen kan voorkom

S

n de ziekte te bevvan "het vermoewordt de patiënt

at hij iets ongewoe arts en de middties diametraal te

en diagnose heefttiologie te vinden ng daarentegen, zoeken uit te voeen van screening mogelijk te houdegebeurt in hospitolledig in tegen de

m vooraleer de zies het basisprincat screening de m

minderen, en bijgevnologie toelaat omaesies te diagnoser dus een noodz

reening de morbidat het mogelijk wgedeeltelijke mast

men een deel men.

Screening Breast C

vestigen. eden van t die zijn oon heeft delen die egenover t de arts voor de heeft de

eren. De voor de

n. talen bij e intuïtie

ekte zich ipe van

mortaliteit volg ook m weinig sticeren, zakelijke

diteit die wordt om tectomie van de

3VvndvDzgpbMotodkptrrinwgDvzv

Cancer

3.2.3. Vals-posiVooraleer een geovan te zijn dat denaar de kant van daling van de mveroorzaakt door oDe zogenaamd "vzonder de aanwgevolgen van borspositieve resultatebijkomende onderzMeer nog dan dovertollige diagnosot 74 jaar. Ovediagnosticeren vanklinisch zou manplaatsgevonden8. raag evolueert enisico is weinig bnderdaad dat soworden ze niet gezondheid9. Dit rapport heeft tvan deze screeninzorgen dat de voovan levenskwalitei

itieven en overtoorganiseerde scree verhouding voo

de voordelen. Omortaliteit het verongemakken en rivals-positieve" resezigheid van kastkankerscreeningen zorgen voor zoeken. de vals-positievese het grootste riertollige diagnosn kanker waarvannifesteren wanneDit risico is des

n de levensverwacbekend bij de beommige kankers behandeld, ze g

tot doel om de vong om ze in perspordelen grotendeeit.

ollige diagnoseneening in te voerenordelen/nadelen vOm dit te doen mrlies aan levenskisico's van de scresultaten (vermoedanker) zijn de og die het vaakst vheel veel angst

e resultaten is visico van screenin

se kan worden n de evolutie zodaeer er geen scte groter naarm

chting van de persevolking. Zeer wzo langzaam ev

geen invloed zo

oor- en nadelen tpectief te kunnenels opwegen tege

n n, is het nodig er van screening oveoet de grootte vakwaliteit compenseening. den van kankerlaongewenste negavoorkomen. Deze en het uitvoeren

vooral het risicong bij vrouwen vagedefinieerd als

anig is dat ze zich creening zou heate de kanker slsoon laag is. Voo

weinig vrouwen wvolueren dat, zeouden hebben o

te bepalen (zie F plaatsen en ervon het risico van v

9

zeker erhelt an de seren

aesies atieve

vals-n van

o van an 70 s het nooit

ebben echts ral dit weten lfs al

op de

Fig. 1) oor te verlies

10

Figuur 1 - mog

 

 

Opsporimamm

gelijke voor- en d

ing door mografie

de nadelen van s

Normaal

Abnormaal

S

screening.

Vals negatie

Resultaat +

Vals positie

Resultaat -

Screening Breast C

ef

ef

-

Ongeru

Geru

Bijko

Invasiecarcin

In s

carci

Cancer

nterecht stgesteld

ustgesteld

omende onderzoe

ef noma

Vb

situ

noma Vrbe

Diagnose laatti

eken

Vroegtijdige behandeling

roegtijdige ehandeling

jdiger

Verminderdemortaliteit

Overbehand

KCE Report

e

eling

t 176

KCE Report 176

4. METHWe hebben egezocht in de kinternationale gbij het KCE gelhoofdstuk 2 van

4.1. Raming4.1.1. Daling De meest borstkankerscrestudies. Op basworden gedaan1. Screening

opvolgingselke twee j

2. Deze dalinuiting. Dit levensverwlevensverw13 jaar op

De bewijskrachstudies kunnenenkele gerandoook vrouwen izeventigjarigentwee groepen) kunnen aantomethodologisch

6

ODOLOGIlementen voor e

klinische literatuurgegevens. Dit opzldende proceduren het wetenschap

g van de voordg van de mortalite

bewijskrachtigeeening komen usis van deze studn: zorgt voor een d

speriode van 13 jaar een screening

ng van de mortalimoet in perspect

wachting van wachting in deze 74 jaar (Belgische

htige gegevens van geen antwoord omiseerde studie, n de leeftijdscate dat aan deze stuom een statistis

onen. Bovendienhe bias.

E een antwoord opr, in modelleringsszoekingswerk wees. Ze worden gepelijk rapport.

elen van screeeit

e gegevens uit acht gerandomies kunnen twee

aling van de morjaar voor vrouweg ondergingen. iteit komt 4 tot 7 tief geplaatst wor

de doelpopulaleeftijdscategorie

e gegevens voor 2an deze gerandogeven op onze de Zweedse "Tw

egorie van 70 toudie deelnam wassch significant efn werd deze

S

p voorgenoemde studies en in natiord uitgevoerd voldetailleerd besch

ening

met betrekkinmiseerde gecontbelangrijke vastst

rtaliteit met 23% oen ouder dan 50

jaar na de screerden ten opzichteatie. De gem

e is 16 jaar op 702009).

omiseerde gecontbasisvraag. Slec

wo County"-studie,ot 74 jaar en hes te laag (10.000 ffect op de mortstudie gehinder

Screening Breast C

vragen onale en gens de reven in

ng tot troleerde tellingen

over een jaar die

ening tot e van de middelde 0 jaar en

troleerde chts één , bevatte et aantal

voor de aliteit te rd door

4HdbgvGpzvDhDtorato9okh

Cancer

4.1.2. VerbeteriHoewel screeningde verwachte vobehandelingen tgerandomiseerde verzameld in BelgGerandomiseerdepercentage recidieziekte gekwantificvan de morbiditDaarentegen werdhet hieronder bescDe Belgische gegeoe om deze bewapport 150) makeotale mastectomie90% van de vrondergingen, kregkregen een neo-ahormonale behand

ing van de leveng als doel heeft kloordelen dat hette gebruiken.

gecontroleerde ië laten toe om de gecontroleerdeeven, noch de evoeerd. Op deze bteit dus noch d een verlies van chreven model opevens waarover w

wering te validereen gewag van 58eën in de minder rouwen die eengen ook een behaadjuvante behanddeling.

nskwaliteit van pleine tumoren aat zal toelaten omNoch de gege

studies, noch eze verwachtingene onderzoeken olutie naar metasasis kan de hypoworden ontkraclevenskwaliteit d

pgenomen. wij momenteel besen. De meest rec8% conservatievegevorderde stadi

n conservatieve ndeling met radio

deling met chemo

patiënten n te tonen, is eenm minder agresevens afkomstig feitelijke gegen te bevestigen.

hebben noch statische stadia vaothese van een dcht, noch bevedoor metastasen w

schikken laten oncente gegevens (e chirurgie versusa (Stadia I en II). chirurgische ing

therapie, 38% vanotherapie en 41%

11

n van ssieve g uit evens

het an de daling stigd. wel in

s niet (KCE-s 38%

Bijna greep n hen

% een

12

4.2. Raming4.2.1. VerminScreening verodeel van de greeks factoren:1. De vals-po

ervaren alsonderzoekeongerustheprocedures

2. De overtoldiagnose wetenschabehandelinop de over

3. Een voortilevensjarenvroeger opwordt hierdpatiënte ovkanker, duenkele jarvoortijdige haar levens

g van de nadelendering van de loorzaakt een vermescreende perso

ositieve resultatens terecht-positieveen ze niet hebbeid met betrekks zoals puncties. llige diagnoses e

en overbehanappelijk rapport), lngen waaronder brleving van de perijdige diagnose kn in goede gezonp te sporen dan door vroeger in hverlijdt aan een ous voordat die kaen te vroeg "aadiagnose en be

sverwachting10.

en van screenilevenskwaliteit vmindering van de

onen. Dit kan wo

n van screening we resultaten gezie

ben kunnen ontkrking tot borstka

en behandelingendeling (voor mleiden tot ernstigeborstamputaties drsoon. kan leiden tot hedheid. Screening met een klinischaar leven ziek va

oorzaak die nietsnker de kans kre

an kanker geledehandeling geensz

S

ing van patiënten e levenskwaliteit vrden verklaard d

worden door de pen zolang de bijkrachten. Ze veroanker en de in

n die erop volgemeer details ze ongerustheid edie geen invloed

et verlies van mheeft als doel om

he diagnose. De an kanker. Wannete maken heeft m

eeg te evolueren,en hebben" terwzins een invloed

Screening Breast C

van een oor een

patiënten komende oorzaken nvasieve

n (over-zie het n zware hebben

meerdere m kanker

patiënte eer deze met haar , zou ze

wijl deze had op

4Mvsnti4ElezleOhhnreg(leDdvlemampppbbosg

Cancer

4.3. BenaderinMet voornoemde voor- en nadelenspecifiek model unodig studies te zoijdens de screenin4.3.1. Meting vaEr zijn verschillenevenskwaliteit. Beziekte zoals bijevenskwaliteit vanOrganization for hulpmiddelen evalhaar pyschologiscniet mogelijk omekening te houde

globale index voQALY). De QAevenskwaliteit. De farmaco-econode vragenlijst EQ-voor het evaluerevenskwaliteit gemet vijf elementeactiviteiten, pijn/himeerdere antwooprobleem (geen pproblemen). Dezpopulatie, dus vooborstkanker lijdenborstkanker. Via opgespoord die astudies worden degeraamd:

ng door modellliteratuuronderzoe

n niet afwegen uitgewerkt. Voor oeken met betrekng en de levenskwan de levenskwande instrumentenepaalde instrumejvoorbeeld de n patiënten die aResearch and Tlueren het beeld dch functioneren, dm met deze muen in een mode

oor levenskwaliteALY's zijn het

omische aanbeve-5D een van de bren van de QAkoppeld aan de gen: mobiliteit, aunder, angst/depre

orden mogelijk. Drobleem, enkele

ze vragenlijst wor screening aan e, en voor de ziekt

het literatuurovaan onze inclusiee variaties in leve

isering eken konden we en daarom hebbhet uitwerken va

kking tot de levenswaliteit van patiënaliteit n beschikbaar voenten zijn specifie

vragenlijst met an borstkanker lij

Treatment of Cadat de patiënte hde angst voor heultidimensionele l. Ze moeten wo

eit, nl. de Qualaantal levensjar

elingen van het Keste hulpmiddele

ALY's. Met dit gezondheidstoestautonomie van deessie. Voor elk vaDie verwijzen naproblemen, matig

wordt voorgelegdeen populatie vante zelf aan een p

verzicht konden ecriteria voldedenenskwaliteit bij ze

KCE Report

de verhouding tuben we hiervooran dit model waskwaliteit van vro

nten tijdens hun zi

oor het meten vaek aangepast aa

betrekking totjden van de Euro

ancer (EORTC). eeft van haar lichrvallen... Het is egezondheidsgege

orden omgezet inity-Adjusted Liferen met een g

CE gaan ervan un is die beschikbahulpmiddel wordand rekening houe persoon, dagean deze elementeaar de ernst vange problemen, ernd aan de betron vrouwen die nie

populatie patiëntendrie studies wo

n. Op basis van eventigjarigen als

t 176

ussen r een s het

ouwen ekte.

an de an de t de

opean Deze

haam, echter evens n een -Year

goede

uit dat aar is dt de udend elijkse n zijn n het nstige okken et aan n met orden deze volgt

KCE Report 176

1. Het verlie

screeningrnodig is omdie periodegegevens

2. Voor de kdiagnose (levenskwade stadiumlevenskwastationair (

Omdat aan demoeten deze cHet betreft hivragenlijst, nl. Ede dimensies betrekking tot dde impact op vragenlijst werdervan weerspipatiënten die zvan de gebruiktverklaren die walgemene popumetastasen ont4.3.2. BeschrHet model bevsamengesteld uaan hun overlweergeeft.

6

s aan levenskwresultaat wordt gm dit vals-positieve gemiddeld 45 dvan het Intermutu

kankerpatiënten, e(bij om het even wliteit geraamd op m IV. Tijdens deliteit geraamd op 18%) voor de stad

eze benadering vijfers met de noder resultaten uitEQS-5D, meet dedie specifiek zijnde patiënten houd

korte termijn vad gebruikt tijdensegelen dus nie

zich niet meer kunte studie zou de gwerd vastgesteld ulatie of tussen ptwikkelden. rijving van het pvat twee theoretiuit 100.000 vrouwijden. Hieronder

waliteit voortvloeiegeraamd op 16%ve resultaat te onagen (min. 36, m

ualistisch Agenschen tijdens het eewelke behandelin16% voor de stad

e volgende jaren 6% voor de staddium IV.

verschillende bepeige omzichtigheidt Angelsaksische

e algemene gezonn voor borstkankden slechts in gean de diagnose

s ambulante const de levenskwannen verplaatsengeringe wijziging tussen patiënten

patiënten met me

product sche cohorten. D

wen waarvan de evindt u het sch

S

end uit een vals% tijdens de peri

tkrachten. In Belgax. 54 dagen) volhap (IMA). erste jaar volgendng), wordt het verdia I,II,III en op 1n wordt het verldia I,II,III. Dit ver

erkingen verbondd worden geïnterpe landen. De gndheidsdimensieser. De maatrege

eringe mate rekenen de chirurgie

sultaties en de realiteit van ernsti. Het bijzondere in levenskwaliteit

n met borstkankeetastasen en zij d

Deze twee cohorevolutie wordt gevhema dat deze

Screening Breast C

s-positief iode die gië duurt lgens de

d op de rlies aan 8% voor lies aan rlies blijft

den zijn, preteerd. gebruikte s en niet elen met ning met e. Deze esultaten g zieke karakter

t kunnen er en de die geen

rten zijn volgd tot evolutie

Cancer 13

14

Coh

Co

Uitgenodigde Vr

Niet uitgenodigvrouwen

hort A 

ohort B

rouwen

gde 

S

(1) )Invasieve kagevonden door screening

(4) Ductal Carciin Situ

(2) Interval kankniet gescreendevrouwen

(3) Invasieve kbij niet gescreevrouwen

(6) Invasieve kbij niet gescreevrouwen

(7) Ductal Carcin Situ

Screening Breast C

IIIIIIIV

IIIIIIIV

IIIIIIIV

IIIIIIIV

anker 

noma 

ker bij e 

anker ende 

anker ende 

cinoma 

Cancer

(5) Overlijden (aloorzaken)

(8) Overlijden  (aoorzaken)

lle 

alle

KCE Reportt 176

KCE Report 176

Cohort A illugeorganiseerdevrouwen die uSommigen van(uitgenodigd/niewerden geïnvgediagnosticeegediagnosticeegediagnosticeedeelnemers (3voorkomen in dvan de uitgenode vrouwen daandoening danCohort B (contrvan dit cohortvrouwen werdeductaal carcinodie dit cohort borstkanker (8)Borstkanker evgevorderde stabehandeling is in een meer gev4.3.3. BasishDe basishypothdoor screeningII) groter dan bivan screening stadia (stage-shDe andere wlevenskwaliteit van de tumor eof dit nu al dan

6

ustreert de hype screening tot 7uitgenodigd werd hen namen deeet-deelnemer). Deventariseerd. Herd tijdens de srd in het interval trd werden in 3). De ductale de groep uitgenodigden/niet-deelndie dit cohort un borstkanker (5).role-cohort) komt t werden niet uien getroffen door eoom in situ (7). D

uitmaakten over.

volueert in vier stadium. Overlevindes te zwaarder vorderd stadium b

hypothesen hese is de volgen, is het percentagij kanker die kliniskomen voort uit dhift) volgend op deweerhouden hypvan de vrouwen n de leeftijd van dniet volgt op een

pothese van ee74 jaar. Het cohden om deel te l (uitgenodigd/deee kankers die zichet betreft hier screening (1), otussen twee screede groep van carcinomen in

digden/deelnemenemers (4). De ovuitmaakten overl. overeen met de htgenodigd voor een invasieve kane overgrote meerleden aan een

tadia (I, II, III, IVng is per definit

en meer invasiefbevindt op het mo

de: bij de kankersge weinig gevordesch gediagnosticede verschillen tuse screening.

pothese is dat uitsluitend afhan

de vrouw op het oscreening.

S

en uitbreiding vhort is samenges

nemen aan scelnemer) en andeh voordeden in he

kankers die of kankers die enings (2), of kan

de uitgenodigdsitu tenslotte

rs net zoals bij dvergrote meerderhleden aan een

huidige situatie. Dde screening. Snker (6), andere drderheid van de vandere aandoen

). Stadium I is htie minder goedf wanneer de kanoment van de diag

s die worden opgerde kankers (sta

eerd wordt. Alle vossen de verdeling

de overleving nkelijk is van het ogenblik van de di

Screening Breast C

van de steld uit

creening. eren niet et cohort

werden werden

nkers die den/niet-

kunnen de groep heid van

andere

De leden Sommige door een vrouwen

ning dan

et minst en de

nker zich gnose.

gespoord adia I en oordelen g van de

en de stadium

iagnose,

Do(4OBgDoles(VzWVHm“4Inhnkhinkuvh

a

Cancer

De cohorten weovergangsparameincidentie) en het

4.3.4. GegevenOm deze oefeninBelgische gegevegedetailleerd bescDe levensverwachoverlevingstabelleeeftijdsgroep. Destadia van de zVlaamse Gemee

zijn afkomstig uit Wallonië, Brussel Voor elk compartHet model bevat emeest aannemelijk“In wezen zijn alle 4.3.5. Sensitivitn ons model zijnhypothesen omwinoodzaak om te keuze veroorzaakhet model, met denformatie. Om aakunnen bieden, uitgevoerd waarbijverschillende scenhet wetenschappe

citaat toegesc

erden jaar na eters zoals het aan

overlevingspercensinvoer voor heng te kunnen doens in ons modechreven in hoofdsthting van de onden van de v incidentie van k

ziekte is afkomsnschap). De geg

de huidige progen de Vlaamse Giment van het meen basisscenarioke situatie. modellen vals, m

teitsanalyse n we uitgegaan ille van de gegevermijden een t

kt onzekerheid diee goede keuze vanan deze verschille

hebben we ej we gebruik maanario's worden geelijk rapport.

chreven aan de sta

jaar opgevolgd ntal vrouwen dat eentage in functie vt model

oen, hebben we l ingevoerd. Deztuk 3.3 van het raerzochte populatirouwelijke popu

kanker in functie stig van het Beevens met betrekgramma's (vrouw

Gemeenschap). odel werd de levo (base case) dat

maar sommige zijn

van een zeker evens waarover wte complex modee verband houdt n de parameters ende soorten onzeeen diepgaandekten van verschill

edetailleerd besch

tisticus George Box

in functie vanelk jaar getroffen wvan het kankerstad

zo goed mogelijze parameters woapport. ie is afkomstig vaulatie van dezvan de leeftijd e

elgisch Kankerrekking tot de scre

wen van 50-69 ja

venskwaliteit gemt overeenstemt m

n nuttig”a

aantal simplificerwe beschikten, eel te gebruiken.

met de structuuen met de bron va

ekerheden het hooe sensitiviteitsanlende scenario's. hreven in tabel 3.2

x.

15

n de wordt dium.

jk de orden

an de zelfde en de gister ening

aar in

meten. met de

rende en de Deze r van an de ofd te

nalyse Deze 2 van

16

5. RESUHet basisscenaoverlijdens zouhetgeen een dagewonnen leve3,9. Deze sensitivitoptimistisch sceHet pessimistisdiagnose van 2verlies van lev54 dagen aanhgescreende grostadia die momgeorganiseerdescenario raamtQALY per 100dat in bepaaldede screening kaHet optimistischdiagnose van 3verlies van levedagen aanhoudper stadia toe Nederland geoscenario raamtQALY per 1000dat het nodig iste nodigen om e

LTATEN ario toont dat uitbu kunnen voorkoaling van de sterfensjaren wordt ge

teitsanalyse omvenario. sch scenario gaat 20%, een percentavenskwaliteit woroudt (de tijd nodioep werd de ver

menteel wordt vaste screening (50t een winst van 80 vrouwen die aae omstandighedenan leiden tot een dh scenario gaat u3%, een percentaenskwaliteit worddt. Dit scenario pdie momenteel worganiseerde sct een winst van 0 vrouwen die aas om gedurende veen QALY te winn

breiding van de somen per 1000fte met 21% verteraamd op 13,1

vat een pessimi

uit van een hypoage vals-positieverdt veroorzaakt vg om de resultaterdeling van de otgesteld in het ka

0-69 jaar), toege8,7 levensjaren, man de screening n - en we blijven daling van de leveuit van een hypotage vals-positievet veroorzaakt van

past op de gescrewordt vastgesteldcreening (70-74 17,0 levensjarenan de screening vijf jaar 62 vrouwenen.

S

screening tot 74 deelnemende v

egenwoordigt. Heen de winst in Q

stisch scenario

these met een oven van 10% waardvan 0,19 dat geen te ontkrachtenopgespoorde kankder van de in Vlaepast. Dit pessimaar een verlies

deelnamen. Dit bhierbij zeker rea

enskwaliteit. these met een oven van 2% waardn 0,13 dat gedureeende groep de vd in het kader va

jaar). Dit optin en een winst v

deelnamen. Dit ben voor een scree

Screening Breast C

jaar 1,3 vrouwen, et aantal

QALY op

en een

vertollige door een durende ). Op de kers per anderen imistisch van 3,1

betekent listisch -

vertollige door een ende 36

verdeling an de in imistisch van 16,2 betekent ening uit

6Dbgsvvle

6DatovkhHtwBja2Dpnmehle

Cancer

6. BESPREDe resultaten van basissituatie betregescreende vrouwsensitiviteitsanalysvan de gekozen hvolgens sommigevenskwaliteit.

6.1. LevensjarDe verhoging vanargumenten die wot vrouwen die overonderstelling kenmerken heeft ahet geval voor het Het aantal overlijdweeënhalf keer zBelgische populataar, 8% tussen 602009). De oorzaken van percentage overlijnaar 6% van alle mortaliteit door kaen elk verantwoorhet overlijdenspereeftijd (KCE-rappo

EKING het hierboven be

eft, de winst in lewen. Dit resultaase. De QALY daahypothesen, gaan

ge geloofwaardi

ren toevoegen?n de levensverw

worden gebruikt oouder zijn dan 6dat de populatals de populatie vaantal vrouwen d

dens vastgesteld zo hoog als die itie verliest 4% va0 à 69 jaar en 20%

het overlijden verjdens door borstkoverlijdens tusse

anker, en de cardrdelijk voor meer rcentage daalt heort nr. 11).

schreven model wevensjaren 13 jat blijft betrouwba

arentegen variërende van een relage hypothesen,

? wachting van de om borstkankersc69 jaar. Dit argumie van de zev

van de zestigjarigedat overlijdt en hu

in de leeftijdsgron de leeftijdsgroen haar effectieve % tussen 70 à 79

rschillen eveneenkanker van 13% en 70 en 75 jaar. diovasculaire mordan een derde v

et aandeel van bo

KCE Report

wijzen erop dat, waar bedraagt per aar doorheen gann aanzienlijk in fuatief geringe wins, een verlies

vrouw is één vacreening uit te brment gaat uit vaventigjarigen dezen. Dit is helemaan doodsoorzaak. oep van 70-79 jaep van 60-69 jaa

leden tussen 509 jaar (Belgian life

ns. In België wijzigtussen 60 en 64Op die leeftijd z

rtaliteit praktisch van alle overlijdenorstkanker dus m

t 176

wat de 1000

ns de unctie st tot,

aan

an de eiden

an de zelfde al niet

aar is ar. De à 59 table

gt het 4 jaar ijn de gelijk

ns. In met de

KCE Report 176

6.2. Toevoe6.2.1. MinderNaast de winsverwacht van behandelingen gerandomiseerdwerden verzam6.2.2. Vals-pIn ons model belangrijke brovals-positieve reen relatief lanonderzoeken ktermen van QAEuropese normhet land (in Vlaa6.2.3. OvertoHet risico van voor zeventigjatoepassen, kanvrouwen, 108 ben waarschijnpercentage oveAnderzijds worgesteld door migeval van een kwaliteit van de

6

egen van levenr agressieve behst in levensjaren

screening de toe te passen. E

de gecontroleerdmeld in België, kon

ositieven vertegenwoordig

on van verlies aaresultaten (dat tonge wachtperiodekan leiden tot eALY. Als men e

men te houden (3,anderen), is de w

ollige diagnoses overtollige diagn

arigen. Wanneer wn men zich eraan bijkomende vrouwlijk een behand

er-diagnose van 1rden alle vrouweiddel van screeninklinische diagnos

e levensjaren die z

skwaliteit aan handelingen?

is het voornaammogelijkheid o

Echter, noch de e studies, noch d

nden deze verwac

gden de "vals-poan levenskwaliteiot 10% kan bedrae (gemiddeld 45 een totaal negaterin slaagt om d5%) zoals dit het

winst aan QALY 3 en behandelingoses is het groowe een percentagverwachten dat i

wen een diagnose deling zullen on0% toepassen, stn bij wie de diagng, twee tot drie jase. Dit heeft een zij nog hebben.

S

levensjaren?

mste voordeel daom minder aggegevens afkom

de feitelijke gegevchting bevestigen.

ositieve" diagnost. Een hoog peragen) gecombinedagen) voor bijkief screeningresuit percentage bingeval is in één re

op 1 000 vrouwengen

tste risico van scge over-diagnosen elk cohort van van kanker zullen

ndergaan. Als wtijgt dit aantal tot 3gnose van kankeaar eerder ziek danegatieve invloe

Screening Breast C

at wordt ressieve stig van vens die

sen een rcentage eerd met komende ultaat in nnen de egio van n.

creening van 3% 100.000 n krijgen we een 367. er wordt an in het

ed op de

77

DDamveezgdsnzgbHgdwpcmaHwreteoob

Cancer

7. CONCLU7.1. Moet men

jaar? De conclusie van Deze uitspraak is anderzijds op de smodel tonen eenvrouwen. Sommiger echter op dat heen algemeen verzijn dus als zodangeorganiseerde sdefinitie op een inspecificiteit houdt nemen op het vlazijn met name op geen schade toebillijkheid en het pHet principe van gedefinieerd: "Tendoen (primum noweldoen die samprincipe van rechtcollectieve dimensmet van een achtergestelden12”Het doel van hetwelzijn van de beesultaten die via e sluiten dat in sonderzochte leeftomstandigheden basisprincipe: “prim

USIES n de screening

deze studie is daenerzijds gebase

specifieke context winst van 13 lee hypothesen, die

het netto-resultaarlies in levenskwa

nig niet doorslaggescreening. Georgndividu die geen

in dat men des ak van ethische p

screening van toebrengen, het principe van respeweldoen of gee

n eerste geen kwon nocere) Dit mmengaat met eentvaardigheid of bsie van gezondhe

voorkeur voor ”. t organiseren vanevolking door vohet model werdensommige gevalletijdsgroep negatiezou dit kunnen

mum non nocere”

uitbreiden tot d

at het antwoord oeerd op de resultat van deze vraag.evensjaren aan e helemaal niet on

at van een uitbreidaliteit kan veroorzevend in de bijzoganiseerde screeenkele klacht, no te meer waakza

principes11. Drie eoepassing: het prprincipe van recct voor autonomie

en schade toebrewaad doen, in iedmoet gepaard gaan houding van illijkhkeid is: "dezeidsproblemen laa

de meest z

n screening is heortijdige overlijden verkregen lietenn screening de lef zou kunnen leiden tot een

” (in ieder geval ge

de leeftijd van

op deze vraag neeaten van het mod De resultaten vaper 1000 gescrenrealistisch zijn, wding van de screzaken. Deze resundere context vanening richt zichoch vraag heeft. aamheid moet inethische basisprinrincipe van weldochtvaardigheid ofe12. engen wordt als der geval geen kan met een plichwelwillendheid"12

ze bezorgdheid dat tussenbeide ko

zwakken, de m

et verbeteren vaens te voorkomenn echter niet toe olevenskwaliteit vabeïnvloeden. In

n schending vaneen kwaad doen)

17

74

en is. del en an het eende wijzen ening ltaten n een

h per Deze acht

ncipes oen of f van

volgt kwaad ht tot . Het

die de omen meest

n het n. De om uit an de deze

n het .

18

Anderzijds is seen lagere levzeker ook bij drespecteren vaeen bijkomendevraag.

7.2. Wat moscreeni

De context vanpunten: het indindividueel vlakde autonomie wordt als volgbasisprincipe, hhieruit voort; hindividuele persvrije keuze) en persoon een vduidelijk en coscreening in zijhet recht op gewet betreffendevan de patiëninformatieblad. uitwisseling vanTevens is het neen strategie ueen houding in • Specifieke • Het neme

beoordeling• Oriëntatie

waarvan de

screening duidelijvensverwachting. de andere leeftijdsan het principe vae reden te zijn o

oet men zeggeng vraagt?

n deze vraag onddividu zelf is hier k worden geëvalueis zeer goed vant gedefinieerd: "het respecteren vhet gaat om hesoon om keuzes tom zijn handelwij

vrije keuze zou orrect geïnformeen persoonlijke situ

eïnformeerde toese de rechten van dnte kan slechts

Het gaat om n ideeën met de znuttig dat de arts uitwerkt die de nadrie stappen wordinformatie voor d

en van een besg van de patiëntevan de persoon e modaliteiten de

jk minder doeltreDit verschil in

sgroepen, maar man rechtvaardighem negatief te ant

n tegen een pe

derscheidt zich vvragende partij e

eerd. Het principen toepassing in d"het respecteren van de autonomi

et erkennen vante maken voor zicjze te beheersen kunnen maken,

erd wordt over duatie. Het recht ostemming zijn besde patiënt. De geï

worden verkregeen proces wa

zorgverlener moetvoor zijn patiënte

adelen tot een miden aanbevolen: e leeftijdsgroep slissing in funct14. die screening wenadelen tot een m

S

effend voor vrouwdoeltreffendheid

minder uitgesprokeid of billijkheid btwoorden op de g

ersoon die om

an vorige vraag en het probleem e van het respectedeze situatie. Dit

van de persoonie van de persoo

het vermogen chzelf (zelfbeschik(zelfbestuur)12”. Ois het belangrijke voor- en nade

op informatie (artikschreven in de Bïnformeerde toestgen na lezing vaarbij idealiter ot plaatsvinden e die om screeninnimum beperkt13.

tie van de pers

enst, naar een scminimum beperke

Screening Breast C

wen met bestaat

ken. Het blijkt dus gestelde

op twee moet op eren van principe

n is het on vloeit van de

kking en Opdat de k dat hij elen van kel 7) en elgische temming van een ook een

g vraagt . Zo kan

soonlijke

creening en.

Dpdemcvo

7HwUhvVlebdb

Cancer

De criteria die wprogramma voorzide gebruikte appaeen optimalisatie vmammografische criteria in het kadvrouwen die uitdroriënteren.

7.3. KernboodHet doel van hetwelzijn van de Uiteraard zou het het mogelijk makevan deze maatreVolgens billijke hevenskwaliteit kubalans tussen ddoorslaan naar dbevolking.

werden gedefinieien met name hetaratuur, een dubbvan het trefpercen

afdelingen moeder van het Eurrukkelijk om scre

dschappen t organiseren vanbevolking door uitbreiden van de

en om enkele levegel op de leveypothesen zou d

unnen veroorzakee voor- en nade kant van een

eerd in het kadet toezicht op de tebele lezing van dntage1. Aangezieneten beantwoordropese programmeening vragen na

n screening is hevoortijdige overlie screening naar vensjaren te winnnskwaliteit is dudeze interventie en. In deze omdelen van screealgemeen verlie

KCE Report

er van het Euroechnische kwalitede mammografieën in België de erken aan welbep

ma, is het logischaar deze structur

et verbeteren vaijdens te voorkode leeftijd van 74en. Echter, de in

uidelijk meer onzzelfs een verliesstandigheden zoening eerder kus van welzijn va

t 176

opese it van ën en kende aalde h om en te

n het omen. 4 jaar vloed

zeker. s van ou de unnen an de

KCE Report 176

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L. EuroscreeniOncol.

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3. Schwarfor can8.

4. SilvermFischhomammo2001;2

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7. Paulus Good KnowleAvailabhttp://kc

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man E, Woloshin off B. Women's vography: a qualit1(3):231-40. rtz LM, Woloshin

n's attitudes to faon of ductal carci20(7250):1635-40n Cancer Registr005. Brussels; 20D, Mambourg F

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e Wolf C, Tornbergs for quality assus. Fourth edition--22. n S. News mediaen in their 40s acer. JAMA. 2002;S, Fowler FJ, Jr.the United States

S, Schwartz LMviews on breast ctative interview st

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g S, Holland R, vourance in breast-summary docume

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er incidence in B

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0. Mandelbladecisions among theClin Onco

1. Doumont organisé.

2. Gallois. DUNAFORM

3. USPSTF. Task ForMedicine 2

4. Woloshin mammogr2010;303(

att JS, Cronin KAG, et al. Effectscreening schednd harms.[Erratum:136]. Ann Intern S, Schwartz LM,

men's understandrch Intern Med. 20att JS, Silliman about the benefitse oldest old withol. 2009;27(4):487-D, Verstraeten

Santé en CommuDépister les caMEC, editor. MédScreening for Br

rce Recommend2011(151):716-26

S, Schwartz raphy screening: (2):164-5.

A, Bailey S, Berrs of mammogradules: model esm appears in AnnMed. 2009;151(10Byram SJ, Sox H

ding of the mam000;160(10):1434R. Hanging in s and harms of br

out a safety net o-90. K. Enjeux éth

unauté Française.ancers, mais à ecine. Paris; 2005reast Cancer: U.Sdation Statement6.

LM. The beneunderstanding t

ry DA, de Koningaphy screening ustimates of pot

n Intern Med. 20100):738-47.

HC, Fischhoff B, Wmmography scre4-40.

the balance: mreast cancer scre

of scientific eviden

hiques du dépi 2012(7):3-7. quelle condition

5. p. 72-7. S. Preventive Sert Annals of Int

efits and harmthe trade-offs. JA

19

g HJ, under tential 0 Jan

Welch ening

aking ening

nce. J

stage

n In:

rvices ternal

ms of AMA.

20

SCIENTIFIC RREPORT

S

T

Screening Breast C

11TbmRthreqoboos

1Tww

1Taaa2ecreinoddbth

Cancer

1. INTROD1.1. Context oThis report is a pbreast cancer scrmade a list of cRepresentatives ohe choice and theelated to each

questions(see KCover three KCE rebreast cancer screof 40-49 years (KCof women at risk foscreening (KCE re

1.2. Scope of This report focusewith mammograpwomen between 7

1.3. Breast caThe Belgian fedagreement in 200aged 50-69 yearsappropriate financ2001, Flanders, theach introduced acontext of alreademains quite freqn the age-group 5older women (>7dominant in the agdrops, mainly becaby means of diagnhat substitution o

DUCTION of this report artial update of teening publishedclinical questionsof stakeholders’ ore wording of the q

question and CE report 172)2. eports. A first KCEeening with mamCE report 129)3. or breast cancer aeport 172)2.

this report es on the extensiohy to older wom

70-74 years of age

ancer screeningderal and regio01 for an organis, to be organiz

cial resources suphe Walloon regionan organized scredy existing practquent in the Wallo50-69, but also a

70 years). In Flage-group 50-69. Iause organized scnostic mammograf screening mamm

he clinical practicd in 20051. Theres related to brearganizations wereuestions, to highlito score the

Selected questioE report published

mmography for woThe second is foand technical met

on of organized brmen. Eligible pope with average ris

g in Belgium nal governmentszed screening p

zed by the regiopplied by the feden and the Brusseeening programmtices. Indeed, opoon and Brussels among younger (4nders, screeningn the age-group 7creening stops at

aphy decreases amography by opp

KCE Report

ce guideline (CPGfore, the KCE exast cancer screee then invited to reight the main probrelevance of cl

ons were then did in 2010 is focuseomen in the age gcused on identificthods for breast ca

reast cancer screpulation is definek of breast cance

s signed a prorogramme for wonal governments

eral government. Sels capital region me within their sppportunistic screregion among wo

40-49 years of ag mammographies70-79 overall coveage 69. The covelso with 3%, indic

portunistic screeni

t 176

G) on xperts ening. eview blems linical vided ed on group cation ancer

ening ed as r.

otocol omen

s with Since have

pecific ening omen ge) or s are erage erage cating ing at

KCE Report 176

the age of 70 (including both screening) remWalloon region

1.4. ClinicaThis specific re1. What are c

screening i1.1. What

organi1.2. How lo

breast1.3. What

organi1.4. What

organi2. What are

organized sterms

2.2. Harms2.3. Harms2.4. Harms

3. What attitureferral?

6

is not frequent diagnostic or foll

mains at 18% in F(KCE report 172)

l questions port addresses thclinical benefits ofin women betweeis the effect of anzed screening onong is the delay bt cancer related mis the effect of anzed screening onis the effect of anzed screening onthe specific ha

screening in womof false positive o

s in terms of addits in terms of over-s in terms of overtude should be re

in Flanders. At low up mammogr

Flanders, 33% in )2.

he following questif an extension of

en 70 and 74 yearsn extension (70-74 the breast cancebetween the scree

mortality reduction?n extension (70-74 the overal mortal

n extension (70-74 morbidity? rms of an exte

men between 70 or false negative reional diagnostic te-diagnosis? treatment? ecommended for

S

this age, total craphies and oppoBrussels and 30%

ions: f breast cancer ors? 4 years) of breas

er related mortalityening and the as? 4 years) of breaslity? 4 years) of breas

ension of breast and 74 years?H

esults? ests?

women in case

Screening Breast C

coverage ortunistic % in the

rganized

st cancer y? sociated

st cancer

st cancer

cancer Harms in

e of self

1FpthemB(tacT

Cancer

1.5. Scientific For each clinical performed and disheir scientific coepidemiology, or models. To quanBelgian situation IMA/AIM), cancerables and construcycles. The methodology

approach question, a sys

scussed with the ompetency in se

health economicntify what the im

we applied dar registry and datucted a simple tim

used and the resu

stematic search support of extern

everal fields: gycs. For question

mplications of ourata from the Inta from the literat

me dependent Ma

ults are described

of the literaturenal experts choseynaecology, radion 3, we searcher findings are ontermutualistic Agure on the Belgiarkov chain with a

d in each chapter.

21

was en for ology, ed for n the gency an life nnual

22

2. LITER2.1. Review2.1.1. Metho2.1.1.1. SouA broad searcCDSR and DARfor systematic r2.1.1.2. SeaFor searching oin combination screening (or eEMBASE, the 'breast cancer'combined with (SR) or meta-an2.1.1.3. In- Databases werGerman. This r2004), thus wrestriction (Engselection basedwithout breastintervention (mdiagnosis testsanalysis or RC<75 years), anindependently b

RATURE REw of clinical studodology urces ch of the electroRE was conductedreviews (SR) and arch terms on Medline databwith usual langua

early detection) (following Emtre

and 'mammograpa standard searc

nalysis (M-A). and exclusion crre searched for Sreport is a update

we used a date lish, Dutch, Frencd on title, abstrat cancer and w

mammography), o, over diagnosis

CT), key questiond original publicaby 2 reviewers (FM

EVIEWS dies

nic databases Od in April 2011. Semeta-analysis (M

ase, the followingage: Breast neop(MESH) and mame terms were u

phy'. These MESHch strategy to ide

riteria SR and M-A in Ee of previous KCE

restriction (2004ch and German).act or full text wwithout particulaoutcome (mortaland over treatme (screening), age

ation. Relevant puM, JR).

S

OVID Medline, EMearch was conduc

M-A).

g MeSH terms welasms (MESH) an

mmography (MESused: 'cancer scrH and Emtree termentify systematic

English, French, DE report1 (search 4-2011) and a laInclusion criteria

were: population ar breast canceity, morbidity, a

ent), design (SR oe of population (>ublications were

Screening Breast C

MBASE, cted first

ere used nd mass SH). For reening', ms were reviews

Dutch or made in anguage used for (women

er risk), dditional or meta->70 and selected

2WquR2eresTeaTs2Tb(wwTu(wT2InwefuwTmd

Cancer

2.1.1.4. AdditioWe identified twoquestion 2. Therupdated by searchReviews from the2008). Additional hensure that no poeference lists of

screening3. The identified stueligible studies, available, the studThe description asearch are in Appe2.1.1.5. QualityThe methodologicbias were rated www.cochrane.nl

was conducted byThe methodologicusing the adeqwww.cochrane.nl

The results of the 2.1.1.6. Identifn the systematic were identified inexcluded on the bull and reviewed were included4-8. The reviews writtemortality as outcodiagnosis and the

onal evidence SR4, 5 as the mrefore the evidehing Medline and search date of thand searching otentially relevant f SR and of ou

dies were selectethe full-text was

dy was not taken innd results of the endix 1.1. ty appraisal cal quality of syst

using the check). The assessmen

y a team of two revcal quality of selecquate checklists ). quality appraisal afied systematic r

search for literan database searbasis of title and in more detail. O

en by Götzsche ome, those from review of Virnig8

more extensive soence-identified th the Cochrane Dthe two SR’s on

of reference lists wstudies were misur previous repo

ed based on titles retrieved. In cnto account. literature searche

tematic reviews aklists of the Dunt of the risk of bviewers (FM, JR).cted additional ev

of the Dutc

are in Appendix 1reviews ture reviews, 53

rches. The majoabstract; 10 citat

On the basis of t

and Nelson4, 5 aBiesheuvel and Jon ductal carcino

KCE Report

ource for the reserough those SRatabase of Syste(search date Nov

was also undertaksed. We also scaort on breast ca

e and abstract. Fcase no full-text

es and flow of st

and associated ritch Cochrane C

bias in the include. vidence was also h Cochrane C

.5.

citations on the ority of citations tions were retrievthe full text, 5 rev

are mainly focuseJorgensen6, 7 on ma in situ (DCIS)

t 176

earch R-was matic v-Dec ken to anned ancer

For all was

tudies

isk of Centre ed SR

rated Centre

topic were

ved in views

ed on over-.

KCE Report 176

As a first step,determine theirjudged to be ofupdate of onePreventive Tasquality and useThe review writappraisal of seJorgensen7 waswas also judged2.1.1.7. IdenThe evidence wsearching Medfrom the searchsearch for relevApril 2011) idenon the basis offull and reviewstudies were exthe flow of randBy hand searcSwedish RCT’sonly RCT tharandomization. their suitability fquality by Nelsanalysis10. 2.1.1.8. IdenFor diagnostic July 2011 identon the basis oretrieved in fullthose two stucomments on th

6

, a quality apprar suitability for incf high quality withe other review sk Force9. Humphd here as completten by Biesheuvelected trials not ss judged to be ofd to be of high quntified RCT

was updated usingdline and the Coch date of this SR vant RCTs carrientified 432 citationf title and abstract

wed in more detaxcluded because

domized controlledching of referencs were identified. at includes wom

Quality appraisalfor inclusion. Theon and of low qu

ntified additionaerrors and over-tifying 10 citationof title and abstr and reviewed indies were excluhe two main SR4,

isal of all the revclusion. Götzsche a low risk of biasperformed by H

hrey review was aementary informatel6 was judged to bsufficiently describf high quality. Theality.

g the key words rchrane Databaseon (search date d out in Medline,ns. The majority ot; the other paper

ail. On the basis of the study desd trials from selecce lists of GötzsAmong those, the

men aged 70-74l of this RCT was Two County trial

uality by Götzsche

l evidence -diagnosis, this us. The majority oract; 2 papers on more detail. On ded. Most pape5.

S

views was carriee and Nelson SR4

s. Nelson review5

Humphrey for thalso judged to beion source. be of good qualitybed) and those we review written b

eported in Nelsone of Systematic RNov 2008). The l EMBASE and C

of citations were ers (n=8) were retrof the full text,

sign (not an RCTction to in-or exclusche and Nelsone Two County tria

years at the s carried out to des was judged to be and included fo

pdate was carrieof citations were en diagnostic errothe basis of the

ers are discussio

Screening Breast C

d out to 4, 5 were 5 was an he U.S. e of high

y (quality written by by Virnig

n SR5 by Reviews iterature

CCRT (in excluded rieved in all eight

T) shows sion. 4, 5, the

als is the time of

etermine be of fair or further

ed out in excluded ors were full text,

ons and

FAFcoobsSin2Ins‘smrecp2Ded22Incth((trIn8in

Cancer

For DCIS, this updAll citations were eFor overtreatmentcitations on Medlinof citations were eovertreatment werbasis of the full teselected one pubScreening Programn Appendix 1.4. 2.1.1.9. Ongoin addition to the searched for clinicscreening’ and ‘mmajority of searchelevant trials (NC

considered as ouprotocol. 2.1.1.10. Data eData from systemextraction table (Ddata extraction tab2.1.2. Descript2.1.2.1. Sourcn the years 196conducted randomhe HIP trial (N =phase I and II, N Kopparberg and rial (N= 60 117) inn Canada, the Na835) were initiatedn 1979 in 1980 (N

date was carried excluded on the bt, this update wasne and 7 citationsexcluded on the bre retrieved in fu

ext, we retrieved ablication presentimme11. The desc

ing clinical trials database search

cal trials. The seamammography’ wh results (n=135CT00963911, NCt of scope after

extraction matic reviews andDET) summarizinble are in Appendition of screeningces 60-1980, USA, Smized controlled tr= 60 995) started= 60 076) startedOstergötland, N=

n 1980 and finallyational Breast Scd in 1980. In UniteN=44 268) and th

out in July 2011 basis of title and as carried out in Jus on the Cochranebasis of title and ll and reviewed iagain the SR writing data issued ription and results

hes, the ClinicalTarch terms ‘breastwere used to se5) were ongoing CT00247442) wer

receiving more i

from trials wereng key design feaix 1.6.

g benefit

Sweden, Canada rials of mammograd in 1963. In Sw in 1976 and 1978= 133 065) in 19y the Göteborg triacreening Trials (Ned Kingdom, the Ehe UK Age Trial i

identifying 7 citabstract. uly 2011 identifyine Library. The maabstract; 2 papen more detail. Otten by Götzschefrom the UK B

s of those update

Trials.gov websitet neoplasm’ as warch for studies.trials. Two potenre identified but information on th

e extracted into aatures and result

and United Kingaphy screening. In

weden, the Malmö8, the Two county977-78, the Stockal (N= 51 611) in NBSS-1 and 2, N Edinburgh, trial stin 1991 (trial limit

23

tions.

ng 19 ajority ers on n the 4 and

Breast es are

e was well as

. The ntially were

he full

data ts. All

gdom n US, ö trial y Trial kholm 1981. = 89

tarted ted to

24

women aged summarizing thThis part is baPreventive Servon the CochranSwedish Two-CSR10,13,14. Both reviews inMalmö I and Stockholm trialstudy was ratedNelson updatedabout youngerHumphrey pubfrom 50 to 74 women 39 to 74younger than 50Two-County trWe analysedinformation on County trial is therefore threepublication of thby Nelson and Two-County triHealth and WKopparberg andyears were clstratified by socluster. Finallythose, they werand 7 462 in tscreening rounclosed in 1984

40-49 years)12. eirs results are noased on the SRvices Task Forcene SR 4. We anaCounty trial (Ost

ncluded the sameII, the Two coun, the Göteborg trd as poor quality bd the meta-analys

women (40-49 yblication for morta

years. Götzsche4 years of age. T0 years and for w

rial the Swedish Tour specific popthe largest of th

e publications thahe initiator10, the pthe last publicatial was commiss

Welfare and includ Östergötland. Inuster-randomized

ocioeconomic stat, 78 085 womenre 10 568 womenthe control groupnds with a screenafter approximate

Numerous publow available.

R (2002) commisse (USPTSF) and alysed more in detergötland) which

e trials in their menty trial, the NBSrial and the UK Aby both authors ansis from Humphreyyears of age). Thality analysis pere4 performed firstThen he did a sepwomen older than 5

Two-County trial ulation (70-74 ye

he first eight randat describe this spublication of Nyson of Tabar publioned by the Swuded women in n 1977-78, 134 8d by geographictus, urban or ruran were invited ton aged 70-74 yea. At this age, woning interval of 3ely 7 years of scre

S

lications and so

sioned to assist its update of 200

etail one RCT nah was included

eta-analysis: the HSS trials (1 and Age Trial. The Ednd excluded therey9 to include new herefore, we referformed on womet a meta-analysisparate analysis for50 years.

in order to finears). The Swedisdomized trials. Wstudy. We used ström13 who was sished in July 201

wedish National Btwo Swedish c

67 women aged 4 area. They weal residency, ando the screening. rs in the screenin

omen were invited33 months. The teening10.

Screening Breast C

ome SR

the US 095,9 and med the by both

HIP trial, 2), the

dinburgh efore4, 9.

findings er to the en aged s among r women

nd more sh Two-

We used the first selected 114. The

Board of counties: 40 to 74 ere also d size of

Among ng group d to two trial was

InthKthmfrUoeFoTAadaNloSnseaOwavCtoca

Cancer

n 2002, Nyström he Malmö, OsteKopparberg trial whe age-dependenmortality relative rrom the OstergötUnfortunately, withof women 70 to 74each group)13. Finally, we found on mammographicTrials quality andAll studies includeas fair5, 9. Götzsdivided his resultsand results based Nevertheless, the ow risk of bias (seSome publicationsnumbers of womesome studies anaexact age at randas suboptimally raOstergötland, a puwitnesses were pralmost twice as hversus 0.0012, p County trial and cao that the validitycommittee (nameda doubtful cause o

performed one rergötland, Stockhwere not availablency of the effectrisks for consecuttland trial. The mhout the Kopparbe4 years of aged e

one publication sc screening effectd bias ed by Humphrey ische assessed ths on results based

on suboptimally rthird meta-analy

ee Appendix 1.5.1s based on The n enrolled. To exalysed results bydomization13. Nevandomized and lublic notary allocaresent. Breast cahigh in Kopparbe

= 0.02). The auause-of-death ass

y of local end poind consensus comof death14.

review of the Swholm, Göteborg e at this time. Thist of screening. Tive 5-years age g

median follow-up erg part of the Swenrolled was low (

summarizing longt on mortality14.

in 2002 and later he randomizationd on adequately rarandomized controyses were judged

). Swedish Two-Coplain this variation

y year-of-birth whvertheless, Götzscikely to be biase

ated the clusters bancer mortality in erg compared to utopsy rate was sessments were nnt committee datamittee) reviewed

KCE Report

wedish RCT’s incltrials. Results os publication asseThe author calcugroup based on retime was 17.9 y

wedish trial, the nu(approximately 50

g term data (29 y

by Nelson were n quality. This aandomized controol trial4. of high quality w

ounty reported van, Nyström replied

hile some others che assessed thised. He argued thby tossing a coin the control groupOstergötland (036% for all the

not blinded4. Accoa was criticized, athe records conta

t 176

uding of the essed ulated esults years. umber 000 in

years)

rated author ol trial

with a

arying d that used

s trial at for while

p was .0021 Two-

ording a third aining

KCE Report 176

2.1.2.2. BreFor women ageup, the Humphra significant re(RR) 0.84, 95%Risk (RR) 0.81,For women agcontrol trial sho15.8 years (me0.70 to 0.89). Tin terms of brrange13. For women agerandomization mortality at 13 ytrials with subbreast cancer mseven trials comThe review oconservative deat randomizatiomortality at 17.this age group group) and thistogether with N2.1.2.3. DelTabar publisheSwedish Two-Cmortality reductissued from locpresented. Thepresent here cpublication sho(CI) 0.62 to 1.0respectively 10

6

east cancer related 39 to 74 yearsrey meta-analysiseduction in breas% confidence inte, 95% (CI) (0.74, 0ged 39 to 74 yeowed a significan

edian follow up) oThis study showedreast cancer mor

ed at least 50 y adid not show a

years (Relative Roptimal randomizmortality (RR of 0mbined was 0.77 (of Swedish randetermination of caon, did not show4 years ((RR) 1.1was relatively sm

study is underpoelson that data arlay between screed in July 2011 County Trial14. Ttion in function of cal end point com validity of local econsensus data.

owed specific mor05), 27% ((RR) 00, 15 and 20 to 2

ted mortality reds and at approxims (M-A)9 and the Cst cancer mortaliterval (CI) 0.77 to0.87) respectivelyars, the Review nt reduction in b

of 21% (Relative Rd that the effect ofrtality reduction

at randomization, ta significant redisk (RR) 0.94, 95%zation showed a

0.77 (95% CI 0.67(95% CI 0.69 to 0

domized control ause of death for ww a significant re12, 95% (CI) 0.73mall (approximate

owered13. Conseqre insufficient for teening and specthe last follow-up

This publication mlength of follow u

mmittees and conend point committe

For women agertality reductions 0.73, 95% (CI) 0.29 years of follow

S

duction mately 13 years oCochrane review4

ty of 16% (Relat0.91) and 19% (

y. of Swedish rand

reast cancer moRisk (RR) 0.79, 9f breast cancer scvaries according

three trials with auction in breast % (CI) 0.77 to 1.1

a significant redu7 to 0.83)). The R0.86)4.

trial, applying women aged at leduction in breast3 to 1.72)). Unfortely 5000 womenuently, we must cthis age group5. cific mortality redp result (29-yearmodulated breastup. In this report bnsensus-based daee data was criticed 39 to 74 yeaof 20% ((RR) 0.8.59 to 0.92), and w up. In the sam

Screening Breast C

of follow-showed

ive Risk (Relative

domized rtality at

95% (CI) creening to age

adequate cancer

5). Four uction in RR for all

a more east 70 y t cancer tunately, in each

conclude

duction r) of the t cancer

both data ata were ized, we ars, this 80, 95% 27% at

me time,

dledinpfuaAs(wthsfrAinw2Ta(ysre1Umfrre2Wss

Cancer

deaths from breasength of follow-udeaths prevented ncluded in this sprevents deaths muture. So most oabsence of screenAuthors did not separately. Result77 080 in the scre

were 10 568 womehe control groupscreening rounds rom these cases wAs cited on previon the Swedish Twwomen in each gro2.1.2.4. All-cauThe Cochrane SRaged at least 50 y n=73654) did not

years (Relative Risuboptimal randoeduction in all-ca.02))4.

Unfortunately studmortality reductionraction of all-causeduction would re

2.1.2.5. MorbidWe found no datasources. In other screening reduces

st cancer preventup. They were reat 10, 15, 20, 25

study. Author empmore in the mediuf the breast canc

ning) more than 10calculate mortalits presented are eening group anden aged 70-74 yep. In Kopparberin women aged

were still includedous point, the grouwo-County Trial woup) and this studuse mortality R has reported d

at randomizationt show a significask (RR) 1.00, 95%

omization (n=982use breast cance

dies did not haven. According to thse mortality in caequire inclusion ofdity reduction a related to the cwords, we do no

s the morbidity of t

ted in the study gespectively 50, 9and 29 years of fphasized that breum to long term cer deaths would 0 years after randity relative risks based on 133 06 55 985 in the con

ears in the screenrg, cancers diag70-74 years and

d in the results14.up of women agedwas relatively smady is underpowere

ata on all-cause, two trials with adnt reduction in al% (CI) 0.95 to 1.0

261) also did noer mortality (RR of

statistical power hat disease specincer screening trf millions of subjec

cancer related moot accept or rejethe breast cancer

group increased 99, 114, 122 andfollow-up for all woeast cancer screthan in the immehave occurred (i

domization. for each age g

65 women aged 4ntrol group), whileing group and 7 4

gnosed after the breast cancer d

d 70-74 years incall (approximately ed13.

mortality. For wodequate randomizl-cause mortality 04). The two trialsot show a signif 0.99 (95% CI 0.

to detect an all-cific mortality is a rials, detect a moct.

orbidity in our select the hypothesisr disease.

25

along d 126 omen ening

ediate in the

group 40-74 e they 462 in e two eaths

luded 5000

omen zation at 13

s with ficant .97 to

cause small

ortality

ected s that

26

2.1.3. Descr2.1.3.1. SouThis part is basin part 2.3.5, wesearch date. Se2.1.3.2. StuSR written by reviews writtendiagnosis and different methoissued from thpublicly organizwas focused on2.1.3.3. PerThe sensitivity 81% in the Twdifficult to intebecause they replacement th(quality of mamfactors (the exresults of an esensibility mayspecificity of a aged 40-74 yecancer underwvalue of one-timfurther evaluatibiopsy. Positiveto 20% among Nelson reporte(USA) BCSC foa single screencommon amon

ription of screenurces sed on the 5 SR see updated those iee more details in

udy description Götzsche and N

n by Biesheuvel asubsequently on

ods to address e first RCTs whized screening prn ductal carcinomarformance of maof first mammog

wo County trial. Trpret. This data are not adjuste

herapy, mammogmmography, numxperience of radioexamination abnoy vary between

single mammogrears. This indicatewent further diagnme mammographion and from 50e predictive valuewomen 70 years

ed data from theor regularly screenning round. False

ng women aged

ing harms

elected in our main July 2011 starti appendix 1.4.

Nelson are descrand Jorgensen6,

n overtreatment. this issue. Biesile Jorgensen anrogrammes. The a in situ (DCIS)8.

ammography graphy for womenThis includes ovecannot be appli

ed for patient fagraphic breast deber of mammogrologists and thei

ormal)9. Provider countries4. In thraphic examinatioes that 4% of wnostic evaluationhy was 12% for a% to 75% for ab increases with aof age or older9. Breast Cancer ned women that ae-positive mamm70-79 years (68

S

in search4-8. As exing from the last l

ribed in point 3.17 were focused oEach author us

heuvel analysed nalysed data issu

review written b

n aged 70-74 yeer-diagnosis and ed to individual actors (use of hensity), technicalraphic views) or r propensity to lafactors may expe Two County t

on was 95.6% forwomen who did n

. The positive pabnormal results rbnormal results r

age and ranged fro

Surveillance Conare based on resuography results .8 per 1000 wom

Screening Breast C

xplained iterature

1.1. The on over-sed very

reports ued from by Virnig

ears was may be patients

hormone factors provider abel the lain that trial, the r women not have redictive requiring requiring om 18%

nsortium ults from are less men per

sliw2Ryhsoswoao2OddaNwebsGRsthbUBYENo

Cancer

screening round). ttle more commo

women per screen2.1.3.4. AdditioRates of additionayears (64.03 per higher among woscreening round) of screen detectedscreen-detected inwomen per screenof invasive breast aged 70 to 79 yeaother imaging test2.1.3.5. Over-dOver-diagnosis ofdetection with screduring the womanabsence of screenNelson reported rawith most from 1exclusion of DCISby age. She conclstatistically5. Götzsche reportedRCT’s that did nosomewhat larger ihe control group.breast cancer in oUSA after beginninBiesheuvel analyYork/HIP, Malm IIEdinburgh) and froNetherlands and over-detection of

Conversely, falseon among womening round)5. onal diagnostic t

al imaging are rela1000 women pe

omen aged 70 tothan among youn

d cancer is highesnvasive cancer aning round. The B

cancer detected ars, 154 women h, and 2 have biopdiagnosis f breast cancer eening of cancer n’s lifetime (and thning)6. ates of over-diagn1% to 10%. She

S cases, by whethluded that the stu

d that the level oot introduce earln the sub optimal He found also a

observational studng of the screeninysed publicationsI, Two County, Com four populatioItaly). He selectinvasive breast

e-negative mammn aged 70 to 79

tests atively low amonger screening rou

o 79 years (12.2nger women. As st in this age ground 1.4 screen-de

BCSC results indicby mammograph

have additional msies5.

at screening mathat would not haherefore would no

nosis varying frome explained variaher cases are inciudies are too hete

f over-diagnosis wy screening in thly randomized tria

a 40% to 60% incdies performed in ng4. s issued from tCanada a and b, on-based programed papers that acancer by mam

KCE Report

mography results 9 years (1.5 per

women aged 70 nd). Biopsy ratesper 1000 womeexpected, the nu

up. Results indicatetected DCIS per cate that for everyhy screening in woammography, 10

ay be defined asave presented clinot be diagnosed i

m less than 1% toations by inclusioident or prevalent

erogeneous to com

was about 30% ihe control groupals before screencrease in incidenAustralia, Europe

the first RCTs Stockholm, Göte

mme (Sweden, Noattempted to est

mmography scree

t 176

are a 1000

to 79 s are n per

umber te 6.5 1000

y case omen have

s the nically in the

o 30% on or t, and mbine

in the , and ing of

nce of e and

(New eborg, orway, imate

ening.

KCE Report 176

Note that he publications. Bscreened and uand high particcontrol group btime. After excseveral (some being based (definitions of tdescribed befoExcluding DCISaged 60–69 yeaJorgensen anaprogrammes. Hbreast cancer screening. Notehe estimated tscreened popuscreening, he screening withscreened and nmammography for women agebreast cancer Surprisingly, litincidence of bcalculated thatover-diagnosis CI 46% to 58%Discrepancies have led to a loThe approach BZahl, Jorgensewere substantiahypothetical inc

6

did not include Bias were descriunscreened popucipation in non-scbefore or during foclusion, he selec

overlapping) soon cumulative

terms are in appere, he selected t

S cases, over-detars6. alysed data issHe selected pape

before and afe that when data that they would clation. After exclucompared data

data covering non screened age

screening prograd 70 to 79 years

was closely rettle of this increareast cancer in over-diagnosis foincluding DCIS c)7. between results

ot of controversial Biesheuvel et al. ten and Götzche ally downwardly crease in incidenc

DCIS. He excibed as: differenlation, low participcreening group, oollow up, inappropcted 22 estimatesurces. Publicatio

e-incidence or endix 1.4.3). Excthe least biased otection ranged fro

ued from publicers that publishefter the introduwere present, DC

contribute to 10%usion of the impl

covering at leaat least seven y

e groups. The moammes was 50-6are available. The

elated to the intase was compenwomen older th

for invasive cancecases was 52% in

reported by Biesdiscussions. to adjusting for lea(2008), who statbiased, due to oce based on theo

S

luded potentiallynt breast cancer pation in screeninoffering screeningpriate adjustment s of over-detecti

ons were categorincidence-rate m

cluding biased stuover-detection es

om 7% to 21% for

cly organized scd trends in incidction of mammCIS were included% of the diagnoslementation phasast seven yearsyears after screest common age-r9 years. No data e increase in incidtroduction of scnsated for by a an 70 years. Joer was 35%. Then this meta-analys

sheuvel or by Jo

ad time was conteed that their est

over-adjustment, uretical models an

Screening Breast C

y biased r risk in ng group g to the for lead

on from rized as methods udies as stimates. r women

creening dence of

mography d. If not, ses in a e of the

s before ening in ange for specific

dence of creening.

drop in orgensen e rate of sis (95%

orgensen

ested by imations use of a d use of

locJinstrtoninw2HsinodUsswRTDSccro2uin

Cancer

ong term followconsidered estimaJorgensen & Göncidence with a screening. They arends, following too young to be scnot, the graphs ncidences beforewhom no explanat2.1.3.6. DCIS Historically, DCISsuspicious breasncreasing numbeof the disease is database (SurveilUnited States Nasurvival rate of 9screening was pewhen screening wRecent changes iThis author perfoDCIS in name of She included 63 compared data ocentury data colleose there from 1

2004. Incidence inuse of mammogrncidence8.

w up data that ation unhelpfully wötzsche used line

in an (hypothetassume a linear inhe same pattern creened. It is diffi

the authors pre screening was tion was given.

S was rare and t mass. Since rs of patients werexcellent. Maasslance, Epidemiolotional Cancer Ins96.6% for cases

erformed. The ratewas performed3, 15.

in DCIS incidencormed a SR on

Agency for Heapublications ad

btained before thcted in US where.87 per 100 000

ncreased most in raphy may expla

are considerablywide. ear regression ttical) population ncrease extrapolaas the linear trencult to judge if thiresent show nointroduced in the

diagnosed by sthe wide use

re diagnosed withs reported data isogy and End Restitute). Those das between 1978 e was 98.1% bet

ce in USA were eincidence, treatmlthcare Research

ddressing incidenhe screening (19e screening is com in 1973–1975 towomen older thain some but not

y diluted. They

to compare obsethat did not und

ated from prescrend observed in wois assumption hol

on-linear increasee UK and Norwa

surgical removal of mammograph

h DCIS. The progssued from the S

esults database oata showed a 10

and 1983, whetween 1984 and

emphasized by Vment and outcomh and Quality (AHnce for analysis. 973-1975) with cummon. DCIS incido 32.5 per 100 0an 50 years. Incret all of this incre

27

also

erved dergo ening omen lds or es in ay for

of a hy, a gnosis SEER of the 0-year en no 1989,

Virnig. es of

HRQ). She

urrent dence 000 in eased eased

28

2.1.3.7. OveGötzsche repowas significantlrandomization lumpectomies (with suboptima(RR of 1.42 (951.35 (95% CI 1Based on receemphasized ththere were app3500 cases. Aconserving surmethod has remincreasing incidhaving mastect900 in 2007/081

2.1.4. ScreeThe sojourn timdetectable phasimple mathem(mainly Markovthe lead time attainable lead in higher numbgained and high2.1.4.1. LiteIn a first stagMedline was csearch terms Mammography/limited to paperlists of the seleSee more detai

ertreatment rted that the numly larger in the sc

showed a sign(Relative Risk (RRl randomization s

5% CI 1.26 to 1.61.26 to 1.44)4. nt data from the e increasing num

proximately 1500 Although, most rgery, the percenmained constant dence of DCIS tretomies has increa11.

ening conditions me (ST) is the avse. Estimation ofmatical estimatev Models)12. Sojou

obtainable. If ttime is correspon

ber of additional her number of yeaerature search e, studies asses

consulted from 19(MESH) were: /. Sojourn time wrs written in Engli

ected studies werels in appendix 1.4

mber of mastectocreened groups. Tnificant increaseR) 1.31, 95% (CI)showed the same1)). The RR for al

UK Breast Screembers of patientscases, but in 200DCIS cases ma

ntage of patientsat 30% during th

eatments, the abssed from just und

verage duration of sojourn time cas or using mic

urn time provides he sojourn time nding long16. A lo

breast cancer dars with cancer du

ssing sojourn tim948 to October WBreast Neoplasm

was included in frish, Dutch, Frence checked for add4.4.

S

omies and lumpeThree trials with ae in mastectomi) 1.22 to 1.42). Tw increase in intervll five trials combi

ening Programmes with DCIS. In 07/08 there were ay be treat by

s being treated wis period. Becaus

solute numbers ofder 500 in 1998/99

of the preclinical an be performed crosimulation tecan absolute uppe

is long, the monger sojourn timedetected, more liue to lead-time17.

me were searcheWeek 1 2011. Thms/ Mass Screeree text. The seach, or German. Reditional relevant c

Screening Breast C

ectomies adequate ies and wo trials ventions ned was

e, Dixon 1998/99 close to breast-

with this se of the f women 9 to over

screen-by from

chniques er limit to maximum e results ife-years

ed. Ovid he main ning/ or

arch was eference citations.

SAc1kEedcreareOscddtwae2SWTeaminsdtoey

Cancer

Selection criteriaAll retrieved refecriteria (in terms o

) in a two-step keywords; followeEstimation of sojexcluding of 3 dudatabases. Of thiscriteria based on etained for full-tex

and 1 did not fetained16, 17, 25-32

Our search was bseveral publicationcited as referencedata published bydata29. Therefore,wo or more artiaccurate for our sextraction table (se2.1.4.2. ResultSojourn times caWe found 4 studiTwo- County Triaestimates of sojouapproximately themodel, but resultsn estimates publisstatistical methodsdeveloped statistico data from the Tearly detection myears (SD, 0.76)27

a erences were asof population, inteprocedure: initial

ed by full-text asjourn time not buplicates, 40 unis total of 40 refetitle and abstra

xt assessment, 6ulfill the outcom

based on ST durans were ST estims by the author. F

y Tabar in 199529

we used originacles based on t

study30, 31. Finally,ee appendix 1.6.7ts

alculated on RCTes based on the

al is described inurn time publishe same data. Both

s were not the samshed by the two as or by discrepanccal methods baseTwo County Trial

modalities as 0.92.

ssessed against ervention, outcom

assessment of ssessment of thebased on data que citations we

erences, 23 did nct evaluation. Am

6 did not fulfill theme criteria24. Fina

ation estimations mations were issueFor example, Zap. Duffy in 200526

al publications. Ifthe same data, 7 publications ar

7).

T’s data results of the Twn chapter 2 (poied by Tabar and h authors used thme. Shen underlinauthors25, 29 may cy in the data. Shed on the maximul. Authors estima

2 (SD, 0.09) and

KCE Report

pre-defined inclmes, and design-Tthe title, abstract

e selected referewere excluded.

ere identified fromnot meet the inclmong the 17 cita population criterally, 10 studies

as search. We fed from others stpa in 200332referrreferred also to one author publwe choose the re summarized in

wo- County Trialint 2.2.1.1.)10, 13. Duffy were base

he same Markov ned that the differbe caused by diffen applied his rec

um likelihood estimated the sensitiviti

the mean ST a

t 176

usion Table t and

ences. After

m the usion ations ia18-23 were

found tudies red to those ished most

n data

. The First

ed on chain rence ferent cently mates ies of

as 4.4

KCE Report 176

Sojourn times Spratt estimateprevalence rateyears. Thereforincluded in th(Louisville). Forbetween 2.5 y tFracheboud coprogramme for in 1995. Boer use in his MISincrease in prealthough pessimduration with aaged 70-74 yeand subsequenassumption whthe age of 69. strong increasetime17. Weedon constrdo not have fuscreening is cquality, incidenscreening examTherefore, he send to 336 5Programme (Nyears for wome2.1.4.3. DisMost estimatesMarkov chain growth of cancedevelop accordtime must cons

6

calculated on sced the duration of es at first screeninre, he used data fe Breast Cancer women aged 70to 3.8 y28. ompared the resu

women aged 70-had described o

SCAN model. Opeclinical durationmistic assumptionage33. Based on ars), Fracheboudnt screens increaich assume a coThis increasing

e in detection of c

ructed one inventull registration ofommon. Although

nce data from themination or registrareplaced data la533 women in tBCSP). This new

en aged 60-69 yeacussion s of sojourn timmodels). Such mer. Unfortunately, ding to a chronoequently be interp

creening programbreast cancer be

ng round by incidefrom 10 000 womeer Detection and-74, he estimated

ults of the Dutch -75 with the hypot

optimistic and pesptimistic assumpt

n of breast cancn assumed a furth187 207 screenin

d found that deteased steadily witntinuously increassojourn time of bancers, but also t

ive solution for scf interval cancersh Norwegian rege first screening ation of interval ca

acking by data ishe Norwegian B

w approach gave ars, although STS

e have been bamodels assume a

it remains unknoological sequencepreted with cautio

S

mmes data efore detection by ence rates in the fen aged 35 to 70yd Demonstration d that sojourn time

breast cancer scthesis developed ssimistic assumpttion assumed noer after 65yearsher increase in prng examinationsection rates in both age and got sing sojourn timebreast tumours leto more life- years

creening programs or where oppogistration is of ve

round, interval bancer may be ins

ssued from questBreast Cancer Sc

estimation of MSS was estimated to

ased on Models a chronological s

own whether cance. Estimations of n.

Screening Breast C

dividing following y at start

Project e ranged

creening by Boer tions for o further of age reclinical (women

oth initial close to

e beyond ead to a s in lead

mme who ortunistic ery high between ufficient. tionnaire creening

ST to 6.9 o 60%30.

(mainly stepwise cer really

sojourn

2D

T

Qw

P

In

C

O

M

M

F

F

A

B

Cancer

2.1.5. Key dataData issued from l

Table 2.1: Data is

Question 1: Showomen between

Population

ntervention

Comparison

Outcomes:

Mortality (specifi

Mortality (all caus

FP

FN

Additional imagin

Biopsy

a literature search a

ssued from clinic

ould breast canc70 and 74 years?

Women bebreast canccancer.

Organized

No organiz

c) For womenmortality re23% (RR: County triasignificant r0.92) at 1afterwards.

se) Studies didall-cause m

68.8 per 1screening r

1.5 per 10screening r

ng 64.03 per screening r

12.2 per 1screening r

are summarized in

cal literature revi

cer organized sc?

etween 70-74 ycer and without p

screening with m

ed screening

n >50 y at randoeduction after a fo

0.77, (CI) 0.69 al, specific mortareduction of 27%

15 years of follo.

d not have statistimortality reduction

000 women ageround (BCSC-USA

000 women agedround (BCSC-USA

1000 women ageround (BCSC-USA

000 women ageround (BCSC-USA

n table 2.1.

iew

creening extende

years of age wparticular risk of b

ammography

omization, the spollow-up of 13 yeato 0.86). In the

lity reduction rea(RR: 0.73, (CI) 0

ow up and incre

cal power to dete.

ed 70 to 79 yearA)

d 70 to 79 yearsA)

ed 70 to 79 yearA)

ed 70 to 79 yearA)

29

ed in

ithout breast

pecific ars is

Two ach at .59 to eases

ect an

rs per

s per

rs per

rs per

30

DCIS

Over-diagnosi

Over-treatmen

2.1.6. ConclAt this age groadditional imagspecific mortalmortality reducspecific mortaliafter screeningreduction must in our country.On the other pertinent to discin this age-groucancer screenitime bias althoScreening diagthe end of “the diagnosed brea

1.4 scre70 to 79

s Over-defrom (7%women a

nt The numwas sig(RR:1.35

lusion oup, performance

ging are relativelyity reduction of tion did not appeity reduction is ng ((RR) 0.80, (Cbe put in perspec

hand, aspects recussion of the benup. First, over-diagng, the risk of o

ough difficult to esnosed breast canlife in good health

ast cancer34.

een-detected DCIS9 years per screen

etection (excludin% to 21%) to 35aged 70 to 79 yea

mber of mastectognificantly larger 5 (95% CI 1.26 to

e of mammograpy low. Breast canc23% to 27% acear in the first yeot statistically sigI) 0.62 to 1.05). ctive with life-expe

elated to quality nefit and harms ognosis being an invertreatment persstimate, may be

ncer and consecuh condition” some

S

S per 1000 womening round (BCSC

g DCIS cases),5% (no data spears are available).

omies and lumpein the screened

o 1.44).

phy is high and cer screening achcording to autho

ears after screenignificant before 1

Breast cancer mectancy for this ag

of life raises qf breast cancer scnevitable consequsists. Secondly, tcrucial for older

utive treatment ma years earlier than

Screening Breast C

en aged C-USA)

ranged ecific for .

ectomies groups

rates of hieves a ors. This ing. The 10 years mortality ge-group

uestions creening uence of the lead women.

ay mean n clinical

22InoessMJliRcTs•••

2Ac2ksdin

Cancer

2.2. Review o2.2.1. Literaturn a first stage, ranon morbidity and meffectiveness of scsources to corresearched35. Medline, Embase,January 2000 up tmited to papers

Reference lists of citations. The keywords usesearch terms (MES Breast Neopla Mass Screeni Mammograph

2.2.2. SelectionAll retrieved refecriteria (in terms o2.2.) in a two-stepkeywords; followeshould be noted digital mammogran KCE report 1722

of modeling studre search strategndomized clinical mortality were seacreening require a

ectly inform deci

, NHS EED and to September 20written in Englishthe selected stud

ed and the resultsSH) were: asms; and ng or Early Detec

hy; and n criteria

erences were asof population, intep procedure: initiaed by full-text ass

that studies assphy) were exclude2.

dies gy trials analysing th

arched (see abova lot of informationsion makers, m

Econlit databases11 (see appendixh, Dutch, French,ies were checked

s are detailed in a

ction of Cancer ; a

ssessed against ervention, outcomeal assessment of sessment of the sessing screeninged because such

KCE Report

he impact of screve). Then, becausn from a wide ranodeling studies

s were consultedx 2.1). The search, Spanish, or Gerd for additional rel

ppendix 2.1. The

and

pre-defined selees, and design - Tf the title, abstracselected referenc

g techniques (suctopic was investig

t 176

ening se the nge of

were

from h was rman. evant

main

ection Table

ct and ces. It ch as gated

KCE Report 176

Table 2.2: Sele

Population

Intervention

Outcomes

Design

LYG: life-year ga

2.2.3. QuanAfter excluding the databases.citations. Of thicriteria based retained for full15 did not fulfilretained, conceCISNET, 2 appdeveloped by publications17, 3

appendix 2.2.

6

ection criteria

Inclusion crite

caucasian wombreast cancer particular risk

Screening mam

Morbidity and(e.g. LYG and Q

Modeling studie

ained; QALY: Quality

tity of research a195 duplicates,

. Hand searchings total of 1058 reon title and abs-text assessmentl the design criter

erning 6 models dplications of theseother groups or 36-59. The flow ch

eria Ex

men without and without

OtAs

mmography Otma(e

d Mortality QALYs)

Otdia

es Ot

y-adjusted life-year

available 1058 unique citatg did not allow eferences, 1016 dstract evaluation. t, 2 did not fulfill thria. Finally, 25 modeveloped by mo models on differeauthors, as som

hart of this selec

S

xclusion criteria

ther (e.g. womansian women, etc.)

ther, iammography tec.g. digital mammo

ther outcomes (eagnosis)

ther designs

gained

tions were identifus to identify ad

did not meet the iAmong the 42

he population critodeling publicatiodeling groups invent context and 7

me models have ction is presented

Screening Breast C

n at risk,

ncluding chniques ography)

e.g. over

fied from dditional nclusion citations teria and ons were volved in 7 models

several d in the

T

E

P

In

O

D

22T((cfotodmC(aTcre2eu

Cancer

Table 2.3: Modeli

Exclusion criteria

Population

ntervention

Outcome

Design

2.2.4. Selected2.2.4.1. The CThe Cancer Interhttp://cisnet.canceNCI)-sponsored

cancer control inteor breast cancer. o help determindeveloped their omodeling philosopCenter model37, UMISCAN) model5

and Stanford modThe seven modecontributions of seduction in brea

200077. Mandelblaestimates of poteunder different scr

ing studies exclu

a Studies

Messecar 2

Advisory CAnonymouBonneux 2Koning 20Habbema Rautenstra

d studies CISNET Projectrvention and Surer.gov) is a coninvestigators who

erventions on popThese models are optimal cance

own breast cancphies: The UniverUniversity of Wisc57, Dana-Farber mel51). ls were first usecreening mammost-cancer mortaliatt et all48 used 6ential benefits anreening schedules

uded after full-tex

2000; Wen 20056

Committee on Bus 2000; Barratt 22009; Caplan 20000; Feuer 2002006; Mandelblat

auch 2000, Xu 200

rveillance Modelinnsortium of Natiose focus is moulation trends in i

re also used to prer control strateger models spannrsity of Texas M.consin model, Ge

model44 University

d to assess the ography and adjuity in the United 6 of those CISN

nd harms of mams. One of the 7 mo

xt assessment

0, 61.

Breast Cancer 22002a; Barratt 2001; Carney 2007

04; Grivegnee 2tt 2003; Prevost 20062-76.

ng Network (CISonal Cancer Insodeling the impancidence and mo

roject future trendsgies40. Seven grning a wide rang. D. Anderson Caeorgetown47, Era

y of Rochester mo

relative and absuvant treatment t

States from 197ET models to prmmography screodels, the Univers

31

2006; 002b; 7; De 2001; 2000;

SNET) stitute act of ortality s and roups ge of ancer smus odel43

solute o the 75 to rovide ening sity of

32

Texas M. D. Apurely descriptiThe models wethey were comprocess, they aUS datasets B(Surveillance, eand the BerkeleA detailed dispublications anddetail, but sumdiscuss the maThe models espresent the recomparison of policy screeningFeuer et al.40

surveillance mosimulation modthrough the mnumber is gemechanistic orequations desctumor growth aCancer Centermodels could Farber model cmodels (Univehaving some characterizationobservable quaprogression of disease procesThe models statrends without screening use a

Anderson Cancer ve. ere developed by

mpared, discussealso used a commBCSC (Breast Caepidemiology andey mortality Databscussion of eachd on the CISNET

mmarize the pooleain limitations anstimated a large

esults of the parta screening pol

g age 50-74. identifies two d

odels used heredels at one end oodel one at a tinerated and indr analytic modelcribe the relationand metastasis. Tr, University of be characterizedcould be charactersity of Rochesteaspects of ea

n runs from bioantities to model t

disease, to epids is modeled (usuart with estimatesscreening and t

and improvements

Center model37

y different grouped and adapted mon set of variabancer Surveillancd end results), Cobase. h of this modelswebsite, we will n

ed comparison ofnd implications foe number of scet relevant to ourlicy screening ag

dimensions to ch. The first dimen

of the spectrum, wime, where at edividual life histols, where a set

nships between kThe University ofWisconsin, Geo

as micro simulaerized as analyticer and Stanford)ch. The secondologic, where ththe underlying disdemiologic, wherually the observabs of breast cancetreatment and ths in survival assoc

S

was not used as

s but not indepeduring the deve

bles and inputs, bce Consortium), Sonnecticut Tumor

s can be foundnot discuss each mf Mandelblatt et aor our research qenarios, but we wr research questge 50-69 to a sc

haracterize the tnsion incorporatewhere individuals ach transition a ories are generat of analytically key health statesf Texas M. D. Aorgetown, and Eation models; thec; and the remain) could be descrd dimension ofhe model goes sease onset, growre only a portionble portion). er incidence and mhen look at the eciated with treatm

Screening Breast C

s it was

endently, elopment ased on SEER 9 r registry

d in the model in al.48 and question. will only tion, the creening

types of es micro

are run random

ated, to derived

s and/or Anderson Erasmus e Dana-ning two ribed as f model

beyond wth, and n of the

mortality effect of

ment.

BpmdidceinoaccasthgTmmmwbotedredpTreligdTmIn

Cancer

Breast cancer is period (sojourn tmammography sedisease in the prdentification of eaclinical detection, estrogen receptor ndependent effecother causes. as age-specific variacharacteristics, trecompeting causesas preclinical detestages of diseasehat followed fromgrowth. The stage distribumodels were alsomodels that use thmodel reductions were used. The habiopsies and overobserved input waerms of QALYs. Mdisease or decreesults living with

diagnosis was notpurposes. Table 2.4 gives teduction and yeamited and there

gained per 1000 deaths averted ranThis class of modemodels are indivndependent valid

assumed to haime) and a clin

ensitivity (or thresreclinical screeninarlier-stage or sm

resulting in redustatus, and tumo

cts on mortality. Wmentioned before

ables for breast eatment algorithms of death. On theectable times (soje, were in these the model struct

utions in unscreeo intermediate ouhis observable vain mortality, life yearmful effects falsr diagnosis followas used, no attemMorbidity associa

ements in qualityh earlier knowlet considered, whic

he results of thears of life gained f

is some variabilitwomen screenednging from 4 to 6.els relies heavily ovidual bases theation was made

ave a preclinical,ical detection poholds of detectionng-detection perioaller tumors than uction in breast cr size– or stage–sWomen can die oe, the 6 models cancer incidence

ms and effects, a other hand, unobourn time), lead models estimatedture and assumpt

ened versus screetcomes, this in c

ariable as input. Aears gained werese positive mamm

wed from the modpt was made to q

ated with surgery y of life associatedge of a cancech makes the mod

e different modelsfor the different mty between moded ranging from 9

on unobservable vey are not alwadifficult because

KCE Report

, screening-detecoint. On the basn), screening idenod and results i might be identifiecancer mortality. specific treatment of breast cancer use a common s

e, mammographyand non-breast cabserved variablestime, dwell time wd intermediate outions concerning t

ened women in tcontrast to some As end output frome calculated, no Qmograms, unneceel, also here no

quantify those harfor screening-detted with false-poer diagnosis or dels less useful fo

s in terms of momodels. Gains are els, with number

to 17 and numb

variables, and as ays very transparesults from trials

t 176

ctable sis of ntifies n the ed by Age, have or of

set of y test ancer such within utputs tumor

these other

m the QALYs essary direct

rms in ected

ositive over

or our

ortality fairly

years ber of

most arent. s and

KCE Report 176

the main US calibrate the mand some obsvalidity of the calibrate the mo

Table 2.4: resreduction and different mode

Model group abbMedical Center; G_Stanford Univer

Stout et al 200analysis, includ50-74 with age Rue et al.55 adZeelen44 to daton Catalan survUS with CatalObtained resulfound, a morta

ModelMortality (specific) reperiod in %Screening in agegroup Screening in agegroup Incremental mortality reagegroup 50-74 compaagegroup 50-69Years of life Gained pscreenedScreening in agegroup Screening in agegroup Incremental years of lifagegroup 50-74 compaagegroup 50-69 Incremental days of liscreenedScreening in agegroupscreening in agegroup

6

breast cancer rmodel. Model outp

ervational studiesmodel as data

odel.

sults of the di years of life ga

els

breviations: D _ DanG _ Georgetown Unrsity; W _ University

0656 used the Wisding the use of QAgroups 50 - 69 w

dapted de Dana-Fta in Catalonia. Bvival they combinan data in a prts were very sim

ality reduction of

eduction over the whole

50-69 50-74eduction screening in ared to screening in

per 1000 women

50-69 50-74fe gained screening in ared to screening in

ife gained per women

p 50-74 compared to 50-69 women screened

registries were uputs are similar tos, but this does from those stud

ifferent models ained per 1000 w

na-Farber Cancer Inniversity; M _ M.D. Ay of Wisconsin/Harv

sconsin model toALYs, but compaere not made. Farber Cancer InBecause there waned the survival darevious publicatio

milar to the ones 21% and 131 life

D E G

16 23 1722 27 21

6 4 4

88 107 111106 116 128

18 9 17

6,6 3,3 6,2

S

used to parameto the results fromnot say much ab

dies were partly

in terms of mwomen screened

nstitute; E _ ErasmuAnderson Cancer C

vard

o do a cost effecarisons of the age

stitute model of Las insufficient infoata from the SEE

on of Vilaprinyo, Lee & Zeelen o

e years gained p

M S

16 1521 20

5 5

82 9996 121

14 22

5,1 8,0

Screening Breast C

erize or m RCT’s bout the used to

mortality d for the

us Center; S

ctiveness e groups

Lee and ormation

ER in the 200958.

originally per 1000

winmhqCaTbbTbbcesgdco2CgbthsskRDbjureG

W

2328

5

8495

11

4,0

Cancer

women screened ncremental benefmortality and 2 lifhad no choice thquestion in what Catalan context. Cand Vilaprinyo et aThey found 3990 biannual screeningbiannual screeninThey found 3891 biannual screeningbiannual screenincompared to a schextending the scrscreening from 45gained by extendindid not incorporacalculations, but uover diagnosis. 2.2.4.2. ModelCarter et al, 20053

growth using mainbecause of unreahey assume a fixstages 1, 2 and 3.screening than otknow about stage Rojnik et al, 2008 DCIS, local, regiobut details on howudge how this waeport ICERs so w

Gained and QALY

for a biannual scrfit for biannual sfe years gained phan to use US degree this can

Carles et al, 2011al58 to do a cost elife years gained

g in the age groug 50- 74 of 299 QALYs gained g in the age groug 50- 74 of 277 hedule 50-69. Thereening to 50-74 5- 69, but reporteng the screening ate the results used US survival

ls not related or 39, 78 developed a nly SEER data. Thlistic assumptions

xed survival of 2 y This leads to con

ther models but ispecific survival.produced a time d

onal and distant.w the model was pas done or if asswe have no informYs.

reening in the agescreening 50- 74per 1000 women data for most kereally be called

138 finally used theffectiveness anald for a cohort of p 50-74, with an life years gainedper 100 000 wop 50-74, with an life years gained

ey did not report tfrom 50 -69, as

ed that 186 QALto 45-74 from 45 of Vilaprinyo et

l data. They did

not using CISNEmicro simulation he model lacks crs concerning stagyears for stage 4 nsiderably higher s in absolute con

dependent MarkoOverall model stparameterized aresumptions were rmation on assum

e group 50-74, w4 of 1.7% in term

screened. As auey variables one

an adaptation the results of Rueysis, including QA100 000 women incremental bene

d per 100 000 woomen screened wincremental bene

d per 100 000 wothe QALYs gaineds it was dominateLYs per 100 000

-69. Interestinglyt al,200958 into not take into ac

ET methodologymodel based on tredibility though mge specific survivaand complete cuyears of life gainentradiction to wha

ov model with 4 structure was desce lacking so we careasonable. Theyed gains in Life Y

33

ith an ms of uthors e can o the et al ALYs. for a

efit for omen. with a efit for omen d with ed by were

, they their

count

y tumor

mainly al, as re for ed for at we

ages, cribed annot

y only Years

34

Neeser et al dscreening with coverage of 20breast cancer munclear how thranging from 5 years screeninrelevant for ouscreening wouldays) per womsimplistic by nreductions immwas not taken iRauner et al, 2only evaluated rather experimehow they actuaMahnken et al,length bias andonly adjusted HRijnsburger et developed by tCanadian CNB50–59, so their Barratt et al 2cohorts, with oother not, assuthe outcomes oscreening. Thereduction fromlinearly to maxthat benefit descreening. For of 70s, two fewwomen who stonumber of diag

developed a sima coverage of

0%. They assummortality with 15%hey come to this

to 20%. They cang beginning at ur research quesd save 41 lives p

men screened for not taking into amediately. No QAnto account.

2010 developed athe effect of scr

ental model is notlly modeled stage, 200846 develope

d over-detection aHazard ratio’s.

al, 200453 usethe Rotterdam57 SS-2 trial on breafindings are not r

200536 constructeone cohort womeming 100% partic

of women over 70ey assume a 37% for non compli

ximal level over fieclines linearly towomen who cont

wer women per op screening (sixnoses of breast c

mple Markov mod70% with opported that the orga% based on the s figure as IARCalculated the yea70 (they evaluat

stion as well. Thper 100 000 and 10 years. The mccount lead time

ALYs were used

an ant colonizatioreening amongst t useful for our pue specific survival.ed a method to and applied this to

ed the MISCAN (see above) to rast cancer screenreally useful for oued a Markov moen undergoing biecipation. Within th

0 years old underg% mortality reducance, and assumrst five years afteo nothing over ftinue screening fothousand die fro

x v eight deaths fcancer in screene

S

del comparing ortunistic screening

anized screening IARC handbook,

C postulates a rears of life gained ted other scheduey found that oradd 0.008 life ye

model is somewhae but applying aand effects on m

on optimization mwomen 50-70 a

urposes. It is also. adjust for lead timSEER data, but p

micro-simulationreplicate the dataning among womur purposes. odel for two hypennial screening his model, they evgoing 10 years of ction, adjusting tme that benefiter starting screenfive years after sor 10 years after m breast cancerfrom breast cancd women is abou

Screening Breast C

rganizes g with a reduces but it is

eduction for a 10 ules not rganized ears (2.9 at overly assumed morbidity

odel but and their o unclear

me bias, provided

n model a of the en aged

othetical and the valuated biennial

the 25% accrues

ning and stopping the age than in

cer). The t 41 and

th5Tin2Matoli

2BimdinhTaeafoDre1

Cancer

he number in uns50% brings the nuThis simple modento account the ef2.2.5. ConclusiModels described adapt them to the o parameterize thfe between 9 an 2

2.3. Review oBecause breast cmpact on the qudimensional healthnformative. It is health outcomes iTo value these madjusted life-year expected length adjustments are mor different healthDetermination of equires two steps. The health s

guidelines of health statessystem. Idealusing a genestates descrdescriptions fr

screened women umber of deaths el has the advantaffects of lead timeion are give useful inBelgian situation

hem. The CISNET22 years per 1000

of quality of life cancer screening

uality of life (QoLh-outcome measuimportant to taken the assessmenultidimensional ou

(QALY) must bof life by the

made using utilitieh states.

utility values, ns: tate description.

f the Belgian Hes should be deslly, the descriptioeric descriptive sriptions from Brom similar patien

about 26. assumin the screened gage of transparen

e and stage-shifts

nsights and elemen as we do not haT models give a m0 women screene

studies g programs are L) of the patientsure in terms of sue into account alnt of breast canceutcomes into a sibe used. QALYs

health-related qes derived from i

eeded for the c

According to theealth Care Knowscribed on a staon should be donsystem, such as Belgian patients nts in other countr

KCE Report

ming a risk reductigroup down 6.2 toncy, but does noton morbidity.

ents but it is difficave the necessarymodest gain in ye

ed.

expected to havs, models with a urvival are not enl the multidimens

er screening progrngle measure, qupermit to adjus

quality of life. Tindividuals’ prefer

calculation of QA

e pharmaco-econwledge Centre (Kandardized descrne by Belgian pa

the EQ-5D. If hare not avai

ries may be used7

t 176

ion of o 5.1. t take

cult to y data ear of

ve an one-

nough sional rams. uality-st the These rence

ALYs,

nomic KCE), riptive atients health lable,

79.

KCE Report 176

2. The valuat

economic gon a 0 (=vrepresentavalued by collected, discussed7

In this section,describing the treatment) is as2.3.1. Metho2.3.1.1. LiteElectronic dataestimates for screening and end of OctobeEmbase (via E(via OVID). Searches usingheading or texstrategies and t2.3.1.2. SelIdentified refere(in terms of poptwo-step procedfollowed by fuabstract was acitation was asthe selected stu

6

tion of these heguidelines of the Kvalue for death) toative sample of th

the Belgian popuvaluations from

79. the availability aburden of disea

ssessed. ods erature search stabases were con

different health treatment. System

er 2011 in the fombase.com), HTA

g various qualifierxt word. See appterms used. lection criteria ences were assespulation, intervendure: initial assesll-text assessmen

available and thesessed based on

udies were scrutin

ealth states. AccoKCE, health stateo 1 (=value for phe general publiculation but if no

m other countrie

and the quality oase due to breas

trategy nsulted for origin

states associatmatic searches wollowing databasA and EED (via

rs for “quality of lipendix 3.1 for an

ssed against pre-tion, outcome andssment of the titlent of the selecte

e citation was unn keywords and funized for additiona

S

ording to the phe values should beperfect health) scac. Ideally, they shoriginal Belgian des can be use

of published utilityst cancer (screen

nal publications oted with breast

were carried out uses: Medline (viaCRD NHS) and P

fe” were used asn overview of the

-defined selectiond design –Table 2e, abstract and keed references. Wnclear or ambiguoull-text. Referenceal relevant citation

Screening Breast C

armaco-e valued ale by a hould be data are ed and

y values ning and

on utility cancer

up to the a OVID), Psycinfo

Subject e search

n criteria 2.5) in a eywords;

When no ous, the e lists of

ns.

T

P

In

O

D

QQeHa

Cancer

Table 2.5: Article

I

Population Spcor

ntervention At

Outcome Ua(

Design Do6ms

QoL: Quality of Life. Quality of Life. DALYequivalent; TTO: TimHUI: Health Utility Inanalysis. VAS: visua

selection criteri

Inclusion criteria

Screened or treatpatients for breascancer, with a Caorigin and withoutrisk factors

Any intervention rto the Belgian set

Unique QoL weigallowing to derive(=utilities)

Direct (TTO, PTOor indirect (EQ-5D6D, HUI, QWB) vamethods in primastudies

QALY: Quality adjuY: Disability-Adjusteme-Trade-Off. PTO:ndex. QWB: Quality al analogue scale

ia

a Exclus

ted t ucasian t high

Other dCauca

relevant ttings

InterveBelgium

hts QALYs

Multi-dscores

O, SG) D, SF-aluation ry

LettersCUA wfrom thDirect (not reKCE pguideli

usted life year. HRQed Life-Years. HYE: : Person Trade-Off. of Well Being scale

sion criteria

diseases, non sian, high risk wo

entions not used inm

dimension HRQoLs, DALYs, HYEs, …

s, secondary studiwith QALYs derivehe literature, … valuations using Vcommended in thharmaco-economnes)79.

QoL: Health-Related healthy-years- SG: Standard-Gam

e. CUA: cost-utility

35

omen

n

L …

ies, ed

VAS e

mic

d

mble.

36

2.3.1.3. SelThe flowchart osearches on thduplicates, 352searching allowninety (290) ref65 references fat this stage, mOverall, we sele2.3.2. ResulA summary of tbe noted that values and theireported in the The selection o• Determinat• Selection o

Selection oSelection o

• Pooling of 2.3.2.1. DetHealth states foIt should be noreflection proce

lection process of the selection p

he databases retu2 unique citationswed us to identifyferences were disfor full-text evaluamostly because ofected 16 primary slts the selected studithis summary onr results. If other summary.

of utilities was dontion of health stateof utilities of a basecase studof other studies selected utilities atermination of heor which utility valuoted that this figess but not the

process is presenurned 524 citations were left (see ay 3 additional citacarded based on tion. Another 49 rf the unmet desigstudies (see appe

ies can be found nly report methoparameters were

ne according to thees for which utilitie

dy

and calculation of ealth states ues are needed a

gure is a schemamodel itself (de

S

nted in appendix 3ns. After exclusionalso appendix 3.2ations. Two-hundtitle and abstract

references were egn and populationendix 3.2).

in appendix 3.3. Iods used to deriv

measured, they w

e following stageses were needed

percentage chan

are listed in Figureatic representationescribed in secti

Screening Breast C

3.2. The n of 172 2). Hand dred and , leaving excluded criteria.

It should ve utility were not

s:

ges

e 2.1. n of the on 3.2).

Cancer KCE Reportt 176

KCE Report 176

Figure 2.1: Hea

Women ag

Before

6

alth states for wh

ged ≥ 70 years

e screening

hich utilities are

Positive

Negative

False p

True po

Short termof the sc

S

needed (reflecti

results

e results

positive

ositive

m impact reening

Screening Breast C

on process)

Metas

Women aged

Breast cance

Breast cance

Breast cance

After scre(First y

Non me

Breast canc

Cancer

static

≥ 70 years

er stage II

er stage III

er stage IV

eeningyear)

etastatic

cer stage I

Women

Breast

Breast

Breast

Aft(Foll

No

Breast

Metastatic

aged ≥ 70 years

cancer stage II

cancer stage III

cancer stage IV

er screeninglowing years)

on metastatic

t cancer stage I

37

38

2.3.2.2. SelTo select utility by the pharmacdata could be foThen, we triedmodel. The aiminstruments andthe pharmaco-eto use the samquality of life weHowever, no st2.3.2.1 with thestudy with the gand to use it at Selection of th

We found onlymetastatic and the chance thaccording to th5D79. This studyUtility values imethods, i.e. technique) by Sgeneric instrumeconomic guidethese valuationTTO). In this stvalued using UKavailable). Heavalues for nontreatment) and patients are desThis study had

lection of utilities values, we first tco-economic guidound. to find the mos

m was to avoid d multiple populaeconomic guidelinme descriptive inseights coming fromtudy assessing ae same design wgreatest number othe starting point

he base case stu

y one study havimetastatic patienat this study als

he pharmaco-econy was therefore thin the study of a direct valuatioSwedish patients ment (i.e. the Eelines of the KCEs were retained (tudy, health statesK tariffs (because

alth states descri-metastatic patiethe following yea

scribed in Table 2the following limit

s tried to find Belgiadelines of the KCE

st complete studyas much as pos

ations to derive thnes of the KCE, it strument and them different studiesll of the heath sta

was found. We thof health states coof the selection pdy

ing assessed utints, i.e. the study oso used the betnomic guidelines he starting point oLidgren et al.80

on method (i.e. and an indirect v

EQ-5D instrumenE recommend thei.e. utility values fs were described

e no tariffs from thptions can be fonts in the first yars as well as ut2.8. tations:

S

an data as recomE79. However, no

y which best fit wsible the use of em. Indeed, accois strongly recom

e same set of vas79. ates described inherefore tried to orresponding to ouprocess.

lity values for boof Lidgren et al80.tter available insof the KCE, i.e. f our selection prowere derived fr

the time-trade-ofvaluation method nt). Because phe use of the EQ-5from EQ-5D and by Swedish patiee Swedish popula

ound in Table 2.6year (i.e. the yeaility values for m

Screening Breast C

mmended Belgian

with our multiple

ording to mmended alues for

n section find the

ur model

oth non-We had

strument the EQ-

ocess. rom two ff (TTO) using a

armaco-5D, only not from ents and ation are 6. Utility

ar of the etastatic

Cancer

Utility values cancer outpatfollowing limitaUtility values f

the shortthis shorttime and

Utility values palliative only reflefirst year

The short term(not measthis studythe valua

Non-metastatyear of diagnthat after the assumption idifference in uyear 5, 10 and

It should also (primary breapatients werinconstistencyMetastatic p

consultatGeneric instru

relevant specific ionly be uthese ins

were measuringtient clinic (Karolations: for non-metastatict term impact of st term impact wawas therefore notfor metastatic p

care. It was therected the quality of diagnosis.

m impact of diagnsured at the momy reported that thisation (measured thtic patients were dosis and the folloyear of treatmenis supported by utility values (fromd 1581. This US stbe noted that util

ast cancer in the re similar (0.6y may be due to thpatients only incions (best cases)uments such as tchanges in healtinstruments. How

used if validated mtruments are avai

g during out-patieinska University

c patients did not surgery. Howevers expected to cot included in the mpatients did not refore assumed thof life of metasta

nosis is also not fment of the diagnos impact was exphe year of diagnosdivided in only twowing years. It wt, utility values re

an US study m EQ-5D using Utudy is described ity estimates for nfirst year of diag96 and 0.685 he following reasoclude patients . he EQ-5D are lesth in a specific d

wever, diease-spemapping functionsilable, which was

KCE Report

ent visits at a bhospital), implyin

fully take into acr, on an annual b

over a limited lengmodel.

represent patienhat these utility v

atic patients durin

fully taken into acosis), even if authoected to be includsis). wo groups, i.e. thewas therefore assuemained constant

where no signiUS tariffs) was fou

in the appendix 3non metastatic pagnosis) and meta

respectivelly). ons: going in out-p

ss sensitive to cadisease than diseecific instrumentss to derive utilitiesnot the case79.

t 176

breast g the

count basis, gth of

nts in values ng the

count ors of ded in

e first umed . This ficant

und at .3.

atients astatic

This

atient

apture ease-s can s from

KCE Report 176

Table 2.6: Hea

Primary bcancer (year 0

Recurrence (y1)

Primary bcancer recurrence following year

Metastatic patSelection of otFor other heainstruments for us to identify apopulation stratwith UK tariffs),therefore used For the short tusing the EQ-5assessed utilitytrue negative. Hthe Swedish postates (as in positive” state is

6

lth states descri

breast -1)

Patients cancer wquestiondisease

year 0- Patients regional prior to metastat

breast and

rs

Patients breast cayear priometastat

ients Patients ther studies lth states, we trthe same popula

a study assessintified by age and , i.e. the study of for women aged 7term impact of p5D instrument way values for false Health states wereopulation) but UKthe other selects given in Table 2

ptions for the st

who had primawithin 1 year or lennaire, no recurre

who had at leaand/or contra-lateanswering the

tic disease.

who had been dancer or their lasor to answering thtic disease.

who had metasta

ried to find studation. The study ong utility values gender using the Burström et al.82

70 and over (see positive results afas identified (Gepositive, true po

e described by thK tariffs were usedted studies). A d2.7.

S

udy of Lidgren e

ary diagnosis bress prior to answeence and no m

st one recurrenceral) within 1 yea

questionnaire,

diagnosed with a t recurrence morehe questionnaire,

atic disease

dies having usedof Lidgren et al.80

for the general Ssame instrument These utility valuTable 2.8).

fter screening, onrard et al.)83. Thsitive, false negae UK population d to valuate thesdescription of th

Screening Breast C

et al.

reast of ering the etastatic

ce (loco-r or less and no

primary e than 1 , and no

d similar allowed

Swedish (EQ-5D

ues were

ne study his study ative and (and not e health e “false

Ainreoaareufawthd•

UIt3cpDCc•

Cancer

As showed in thisnvited for screenecalled for furth

obtention of a dassessment, only activity; pain/discoemaining two di

unaffected. The qalse positives laswere measured fherefore not be udecided to make th True negativ

population. The short term

the percentag This impact is

screening accet al.82 (generet al.80 (non mwere used.

Utility values for fat should be noted3.3 assessed the complexity and bepositive” in the stuDomeyer et al.84 inConcerning the evcancer in the long

s table, the descrining, having a brher examinationiagnosis, i.e. nothree of the five E

omfort; and anxietmensions (i.e. m

quality of life effecsted 12 months for the remainin

used to measure the following assu

ve patients have

m impact of positge change betwees present until the cording to IMA daral population for metastatic or met

alse positive and t that the study of short term impa

ecause the biopsyudy of Gerard et anto account. volution of utility vterm, no study wa

ption include the reast screen, wais, having furthe

o evidence of brEQ-5D dimensionty/distress and it

mobility and abilcts associated wwhile true positivg life expectancthe short term immptions:

e utility values e

ive results at screen true negative a

diagnosis, i.e. onata. After, either v

false positive) ortastatic disease y

true negative can Domeyer et al.84

ct of biopsy. Howy is included in theal.83, we decided t

alues for patientsas found.

following stage: iting for results, er examinations reast cancer. Fos were used, i.e. was assumed thaity of self-care) ith true negativesve and false neg

cy. These valuesmpact of screening

equal to the ge

eening is measurend false positive.

n average 45 daysvaluations of Bursr valuations of Lid

year 1 for true po

be found in Tabledescribed in app

wever, to avoid me description of a to not take the stu

s with metastatic b

39

being being

and or the usual at the were

s and gative s can g. We

eneral

ed by

s after ström dgren

ostive)

e 2.8. pendix model “false

udy of

breast

40

Table 2.7: Des

Routine breast

Further tests

The results of are ready wweek

Quality of life eroutine screening (sho

Receiving invitation

Waiting for ththe appointme

cription of a “fal

t screen • S• T• T• A• T

c• S• O• T• T• T• T• F

bthe tests

ithin the • T

effects of breast

ort term)

The Qconti

the • M• S

he day of ent

• M• S

c• P

lse positive” stat

She is invited by lThe appointment The visit at the breA female radiograTo take the X-raycompressed to geShe is asked by leOther tests are neThis visit may takeThe breast X-ray The doctor examiThe doctor may cFluid from the affebetween the X-rayThe tests show no

QoL of some womnue for some time

Most women are Some women are

Most women carrySome women arecarry on with theirPersonal and sex

S

te (Gerard et al)8

etter for routine bis about 2 weeks east screening ce

apher asks about ay she is asked to et the best possibletter to go to the beeded because the up to half a dayis repeated. nes her breasts.arry out an ultrasoected area is takey plates. o evidence of brea

men is affected bye.

pleased to receivee made nervous, a

y on with their usue anxious and depr usual activities aual relationships m

Screening Breast C

3

breast screening.from receiving the

entre takes about any symptoms or undress to the w

le picture. breast screening ce breast X-ray res.

ound examinationen for laboratory a

ast cancer.

y the experience

e the invitation. anxious or depres

ual activities and ipressed, unable toand interests. may be affected.

Cancer

e invitation. half an hour, whichistory of breast

waist. Each breas

centre the followinsult is not clear.

n. analysis using a fin

of routine breast

sed, and are worr

interests. o concentrate, sle

ch may include wadisease and explat is placed in turn

ng week.

ne needle to do th

screening and br

ried about having

ep badly and are

aiting time. ains what will hapn between two sp

his her breast may

reast cancer diag

breast cancer.

moody and irritab

KCE Report

ppen. pecial X-ray plates

y again be compre

nosis. The effects

ble. They are una

t 176

s and

essed

s may

ble to

KCE Report 176

At the breast sclinic

Waiting for the

Clear results test

Table 2.8: Des

Author (year)

Lidgren et al. (2007)80

Burström et al. (2001)82

Gerard et al. (1999)83

6

screening • M• M• M• M• S

e results • M• S

t• PIf rec

• M• O

after the • M• S

cription of the se

Instrument Pd

EQ-5D

S(

EQ-5D S(

EQ-5D Wy

Most women are Most women are Most women are Most women find Some women findMost women carrySome women areto carry on with thPersonal and sexcalled for further te

Most women are vOne of the tests, wMost women are Some women rem

elected utilitiesPopulation for hedescription

Sweden patients(Mean age: see h

Sweden patients(Mean age: see h

Women from UK ayears (eligible for

S

nervous, but are nnot embarrassed not unduly worriedthe breast X-ray i

d the breast X-rayy on with their usue anxious and depheir usual activitiesual relationships oests:

very anxious at bewhere the doctor reassured by the

main anxious for u

ealth state Po

ealth states) UK

UK

UK

ealth states) UK

aged 40-64 screening) UK

Screening Breast C

not anxious or depby the screening d about breast cais uncomfortable a

y very uncomfortabual activities and ipressed, un-able s and interests. of some women m

eing recalled for fremoves fluid fromclear results.

up to a year before

opulation for valu

K tariffs (general p

K tariffs (general p

K tariffs (general p

K tariffs (general p

K tariffs (general p

Cancer

pressed. procedure.

ancer developing.and slightly painfuble and painful. interests. to concentrate, s

may be affected.

urther tests. m the affected are

e they are back to

uation Hea

population) Prim

population) Brea

population) Meta

population) WomWomWom

population) True

ul, but this is short

leep badly and ar

ea, is painful.

o their usual self.

alth state

mary breast cance

ast cancer (follow

astatic patients; M

men aged 50-59men aged 70-79men aged 80-88

e negative

t lived.

re moody and irrit

er (Year 0-1); Mea

wing years); Mean

Mean age 56

table. They are u

Meavalu

an age: 56 0.69

age: 58 0.77

0.68

0.830.790.74

0.94

41

nable

n ue

6

9

5

3 2 0

0

42

2.3.2.3. Poo

chaA summary of can be found inal.82 were chos(A)). These valchange relativepercentage chaThe next stageassumed that uvalues in the gutilities betweecalculated, i.e.negative womeafter screening utilities will be m

oling of selectedanges selected utilities n Figure 2.2. Theen as the initial vues varied accord

e to these valuesanges did not varye concerns the shutility values for tgeneral populatioen true negative -16% (B). Initia

en and decreased(false or true pos

maintained for 45

d studies and cal

and of calculatioe utility values of alues of the modeding to women ag

s was applied. It y according to the hort term impact true negative wom

on (A). Then, the women and fal

al values were td by 16% for womsitive). As mentiondays.

S

lculation of perc

n of percentage cthe study of Burs

el (first state of thge. Then, the perwas assumed thwomen age (no dof the screening

men were equal percentage decr

se positive womthus maintained men with a positivned in the section

Screening Breast C

entage

changes ström et

he model rcentage at these data). g. It was to utility rease in

men was for true

ve result 0, these

Fvoscwb(Fn1pcth(

Cancer

For the first year values equal to thof the study of Lidstudy of Lidgren changes between women aged 50-5by 16% ((0.696-0.(0.685-0.833)/0.8

For the next yearnon-metastatic or

6% (C) and 18%patients who staycompared to the ghe years after (DG).

of screening, wohe general populadgren et al. wereet al.80 and the values for the sa

59 (and UK tariffs.833)/0.833) for n33) for metastaticrs, people from tmetastatic breas

% (E) respectivelyyed in this staggeneral populatio

D). Metastatic pat

omen without breation (A). For true used.80 To makestudy of Burström

ame population ws). Utility values wnon metastatic pac patients (E). the general popust cancer had utiy (as calculated age had their utilin ((0.779-0.833)/0ients maintained

KCE Report

east cancer had e positive, utility ve the link betweem et al.82, perce

were used, i.e. Swwere therefore redatients (C) and by

ulation who develity values reduce

above). Non-metaity decreased by0.833) and mainttheir utility until d

t 176

utility values en the ntage

wedish duced y 18%

loped ed by

astatic y 6% ained death

KCE Report 176

Figure 2.2: Per

Women age

Before

6

rcentage change

ed = 70 years

e screening

A

e in utilities

P

Short termscreeni

S

Positive results

True negative

False positive

True positive

m impact of theing (45 days)

B

A

Screening Breast C

Wome

Brea

Brea

A

N

Brea

Brea

Cancer

en aged = 70 yea

ast cancer stage II

ast cancer stage II

After screening(First year)

C

A

Non metastatic

ast cancer stage I

Metastatic

ast cancer stage IV

F

rs

I

I

VMetastatic

Women aged = 7

Breast cancer st

Breast cancer st

Breast cancer st

After screeni(Following yea

F G

C D

A

Non metasta

Breast cancer s

c

70 years

tage II

tage III

tage IV

ingars)

E

atic

stage I

43

44

2.3.3. DiscuTo include thevalues for eachthis chapter waon the KCE phamultiple instrumderived from the• The analys• No Belgian

possible (nUK tariffs results, Be

• The short taccount be

• Even if thethese utilitithis instrumConsequensuch as aimportant instrument low percenwomen in metastatic specific insbecause th

• Finally, thebetween reappendix 3parametersthese para

ussion quality of life im

h health state of tas therefore to searmaco-economic

ments and multiple EQ-5D instrume

sis had the followin data were availano access to priminstead of Belgialgian data would bterm impact of su

ecause no valid dae EQ-5D is one oies (according to ment is less senntly, it can be expa mastectomy (pif a disease sphad been used.

ntage change bethe general pop

patients. The assstruments was nehese instruments de review of the eported utility esti3.3), revealing as. Because of thmeters should be

mpact of screeninthe model had to lect these valuesc guidelines79. Wee valuations and ent. ng limitations: able and a transf

mary data). Even ian valuations wobe interesting for urgery and of diagata were availableof the best availathe KCE pharma

nsitive than diseapected that the impartial or total) pecific instrumen This lack of senetween patients pulation or betwsessment of the qevertheless not indo not permit to dliterature showedmates for breast

a high level of uhis uncertainty, a

e done in the chap

S

ng in the analysibe identified. The. The method wae tried to avoid th

focused on utility

ferability analysis if we expected th

ould not greatly infuture models. gnosis was not tae. able instrument toaco-economic guidase specific instrmpact of some cowould have bee

nt instead of a nsitivity could expwith breast caneen metastatic a

quality of life from vestigated in this erive QALYs.

d an important vcancer health sta

uncertainty arouna sensitivity ana

pter on model resu

Screening Breast C

is, utility e aim of

as based e use of y values

was not hat using nfluence

aken into

o assess delines), ruments. onditions en more

generic plain the cer and and non disease chapter

variability ates (see nd these lysis on

ults.

3TsacbwWthsnfiUWththbuh••

Cancer

3. DECISIOTo quantify whatsituation we consapproaches. For cancer registry anbelow). For the sewith annual cyclesWe consider perfohan trying to adasituation. Indeed, not available andindings of these mUS) data. We look at the effehe currently existhe current level. Tbaseline without huse of an additionhere: Available data Additional lite

screening and The model us

ON ANALYt the implicationsstructed a decisiothe first simple

nd data from the lecond, we constr

s. orming one Belgiaapt the models dBelgian data nee

d we would memodels, as we wo

ect of introducing ing situation with This has the advahaving to modify nal number of no

a used in this decierature review focd to the breast cansed for this decisio

YSIS s of our findingson analysis modapproach, we apliterature on the Bructed a simple t

an decision analydiscussed in chaeded to parameterely reproduce t

ould be obliged to

mammography sthe opportunistic

antage that we cathen, as this can

on verifiable assu

ision analysis; cused on qualityncer as such; on analysis.

KCE Report

s are on the Beel using two diff

pplied data from Belgian life tablestime dependent c

ysis a better apprapter 2 to the Beerize these modelthe already publo use the same (m

screening in additscreening going

an use Belgian da only be done m

umptions. We des

y of life related t

t 176

elgian ferent IMA,

s (see cohort

roach elgian ls are ished

mainly

ion to on at

ata as aking scribe

o the

KCE Report 176

3.1. Data soBelgian life tabOverall survivabe.STAT (http:/Belgian CanceThe Belgian Ccollects data cstatistics from tBelgian organAs recommendorganized screeprogram are woprograms ahttp://www.brumdépistage desFrançaise) andhttp://www.zorgIntermutualistiThe Intermutuasickness fundsnational screendefined by theinformation on focus on the tconfirmation anDutch Nation(DNETB)85. The Dutch Npublished a recontaining inforpopulation.

6

ources ble (2009) al was taken fro//statbel.fgov.be) er Registry (BCRCancer Registry Fconcerning new chese data (http://wized screening

ded by Europeanening programmeomen aged 50 to are organizedmammo.be/), Cens cancers (CCRd BorstKankerOpg-en-gezondheid.bic Agency (IMA)

alistic Agency (IMAs. IMA compiledning program cone program (50-6

persons outsidetests used, delaynd treatments follonal Evaluation

ational Evaluatioeport with their rmation on age s

om the Belgian

R) Foundation is ancancer cases in www.kankerregist

Commission, Bee. The target age 69 years. Belgiand by: Br

ntre CommunautaRef: http://www.cpsporing (BKO) (be/).

A) centralises dat and published

ntaining data on t69 years). IMA e the target ageys between screeowing testing (http

Team for Bre

on Team for Bfindings covering

specific stage dist

S

life table of 200

n public institutioBelgium and ma

ter.org/).

elgium started a groups as define

n breast cancer scrumammo (Baire de Référenceccref.org/) (Comm(Vlaamse Gemee

a coming from allseveral reports

the target age grcomplemented t-group, with a pening tests and p://www.nic-ima.beeast cancer sc

Breast cancer scg the period 19tributions in the s

Screening Breast C

09 from

n which akes up

national d by the creening ruxelles,

e pour le munauté enschap:

Belgian on the

roups as his with

particular possible e/).

creening

creening 90-2007

screened

STNin(lointh

3InmfrB7folelisaaacTdtiT•

Cancer

SEER database The Surveillance, National Cancer Inn an effort to redhttp://seer.cancerocations and sourn 1973. As they hese in the mode

3.2. Model den a first simple amortality caused brom the results oBelgian life table.74 is similar to tollowing Barratt eevel over first fivenearly to nothing

saved can then band effects on quaand stage-shift is approach was onlcomplex approachThe second apprdata on incidenceime dependent stThe model compa A cohort of w

the populationparticipates inby screening,screening. Thcases (intervaThe screen dthan the canc

Epidemiology, annstitute works to duce the burden r.gov/). SEER collrces throughout thused an outdatel.

escription approach we appby screening comof the meta-analWe assume herethe reduction in et al 200536 that e years after startg over five yearse derived from thality of life resultinmore difficult to a

ly used for cross h that makes use oroach makes usee of invasive cancate transition cohres 2 cohorts:

women starting at n in the age gron the screening an, depending on p

here is a mix of scal cancers and cdetected cancers ers not detected b

nd End Results (Sprovide informatioof cancer amon

lects data on canche United States.d distribution we

plied the 22% reduming from RCT alysis of Gøtzschee that the reductio

other age groupbenefit accrues

ting screening ans after stopping he life table. Howng from earlier diaassess in this apvalidation by com

of the stage-shift e of the Belgian Ccer and DCIS forort model with an

age 70 where scup 70-74, where nd where a part oparticipation rate creen detected ancancers amongstwill have a diffe

by screening.

SEER) Program oon on cancer statg the U.S. Popucer cases from va Data collection bcould not incorp

uction in breast cand its range, rese et al, 20084 oon in women ageps. We also asslinearly to a mad that benefit decscreening. Life

wever, effects of hagnosis, over-diagpproach. Thereforemparing it with a caused by screen

Cancer Registry (r the constructionnual cycles.

reening is extenda part of the wo

of the cancers is fand sensitivity o

nd not screen dett unscreend womerent stage distrib

45

of the tistics lation

arious began porate

ancer sulting n the

ed 70-sume, aximal clines years

harms gnosis e this more

ning. BCR)

n of a

ded to omen found of the ected

mens). bution

46

• A cohort o

extended bthe stage d

All women are number of QAcompared. OveWe assume tha• Survival an

the tumor women, an

• All benefit in stage-dis

Harm caused accounted for sinterval in theproportion womthe screening roFigure 3.1 showtransitions betwIn the unscreenyear are determ• Incidence o• Stage distr• Stage spec• Age specifOn top of that, fdetermined by s• Lead time a• The propo

found by sc

of women startinbeyond the age ofdistribution of the followed to deathLYs and deaths

erall mortality is noat: nd quality of life oat the moment t

nd not on the presof the screening rstribution caused by false positiv

separately, by asse participation wmen that are alive ound actually takews the different c

ween them. ned cohort, transi

mined by: of breast cancer; ribution of unscreecific survival; and ic overall mortalityfor the cohort whesome aspects of tas part of the can

ortion of cancers creening and thei

g at age 70 whef 69 years. For thnon screened.

h. The cumulativeto breast cance

ot compared as in

f the women depethe tumor is detesence or absence results from the sby the screening.

ves at the momesuming 3 screeniomen and applyand without brea

es place. compartments in

itions between co

ened cancers;

y due to other cauere screening takethe screening: cers will be foundfound by scree

r respective stage

S

ere the screeninhis cohort all wom

number of life yer of the two coh

n the end everybod

ends only on the ected and the agof screening; tage-shift, the diff. ent of the screeng rounds with a ying recall ratesast cancer at the

the two cohorts

ompartments from

uses. es place, transitio

d earlier; ening and propore distributions.

Screening Breast C

g is not men have

ears, the horts are dy dies.

stage of e of the

ferences

ening is 2 years

s at the moment

and the

m year to

n is also

rtion not

AddsymTmea

Cancer

As survival and diagnosis in the mdiagnosis and stscreening is applieyears (or 3 in senmanageable. Transitions betweemoment the diagnevolves after treaanymore.

quality of life dmodel, a separateage, and stage ed during 5 years nsitivity analysis)

en stages are notnosis is made follatment it does no

epends on both e compartment is

specific survivaland there is an athe number of co

t included as stagelowed by treatme

ot necessarily go

KCE Report

age and time made for each a

l is than appliedassumed lead timeompartments rem

es are assessed aent. Even if the ca

through the 4 s

t 176

since age of d. As e of 2 ained

at the ancer tages

KCE Report 176

Figure 3.1: Co

Cohorscree

Cow

scre

6

mparison of the

Healthy  women

Healthy  women

rt with ening

ohortwithout eening

two cohorts with

Id

is

S

h and without a s

Invasive cancer detected by screeni

DCIS

interval cancer in screened women

Invasive cancer in unscreened wome

Invasive cancer in unscreened wome

DCIS

Screening Breast C

screening progra

IIIIIIIV

IIIIIIIV

IIIIIIIV

IIIIIIIV

ing

en

en

Cancer

am

All c

All c

cause deaths

cause deaths

47

48

Figure 3.2: Co

mpartments in th

Healthy women

he two cohorts a

d

S

and the transition

Breastcancer stage I 

Breastcancer stage IV

Breastcancer stage II

Breastcancer stage III

DCIS &over‐

diagnosed 

Screening Breast C

ns between them

Death

Cancer

m

KCE Reportt 176

KCE Report 176

3.3. Descrip3.3.1. Age sOverall survivabe.STAT (http:/mortality based3.3.2. BreasFor the baselinethe 4 stages fowere used. Thethe IMA data wmammography 172 on breastassume that anpurposes, so ware less contamFor the situatiogroup will increa• Lead time

because onumber of this shift dused 2 yeaanalysis.

• Over diagbased on review abodiagnosis e

• Over diagdifferent wDCIS per 1place comlimited amcontrast widrop in DC

6

ption of the parspecific overall sal was taken fro//statbel.fgov.be) on data from thest cancer incidene without screeninr invasive for the

ere is some opporwe infer that in in the past 2 yea

t cancer screenin important part owe choose to useminated by opportuon where screenase with a numbe, cancers that wo

of lead time. This cases in the foll

depends on the aars lead time in t

gnosis invasive the findings in th

ove under 2.1.3.5.excluding DCIS.

gnosis DCIS, weway: we use the o100 000 is twice

mpared to the agemount of opportu

th the Brussels caCIS is much less p

rameters urvival

om the Belgian after adjusting fo Belgian Cancer rnce ng the BCR data oage group 70-74

rtunistic screeningFlanders the covars is 18% (for deng in risk group

of this is also for de data issued fromunistic screening.ning takes place,er of cancers comuld have appearewill lead to a co

lowing years. Theassumed lead timthe baseline and

cancer, we modhe literature as d. We assume a ra

e model the overobservation that iin the group 60-6e-groups 70-74 anistic screening apital region and Wronounced. So we

S

life table of 200or breast cancer register.

on incidence of D4 of the period 20g in that age grouverage with at leetails see the KCps)2. Given that diagnostic and fom Flanders becau , incidence in thing from two sour

ed later but are fouompensatory dece moment and deme (see point 3.2

3 years in the se

deled the over ddescribed in the lange of 2 to 30%

r diagnosis of DCn Flanders the in

69 where screeninand 75-79 wheretakes place. Th

Walloon region we take as an estim

Screening Breast C

09 from specific

DCIS and 04-2008

up. From east one

CE report we can llows up use they

e 70-74 rces: und now rease in egree of 2.2). We ensitivity

iagnosis iterature for over

CIS in a ncidence ng takes e only a his is in

where the mation of

3W3T6c7Ws3WsbsthmApaTthp

Cancer

over diagnosithe age-groupfact that screeDCIS. This brwomen per ye

3.3.3. ParticipaWe used a 70% pa3.3.4. ProportioThe data of the Be69, 49% of the cascancer or not part75% of the found We used a proporscreening of 70%3.3.5. Recall raWe assume a recscreening programbe an extension sensitivity analysishe more pessimmoment in certain As a baseline we plausible range foand adding 20%). The short term imhe percentage chpositive results.

s the difference ips 60-69 and 70-ening coverage isrings us to an oveear. ation rate articipation (plauson of screen detelgian screening pses are found by ticipating in the sccancers are screertion of cancers fo(plausible range 6ate call rate of 3.5%m concerning folloof the screening

s we used 2% in aistic scenario (1regions). assume a delay

or the sensitivity a

mpact of positive rhange in utility va

in DCIS incidence-74, augmented b only 60% as a prer diagnosis of DC

sible range 60% totected breast caprogram show thascreening, and thcreening. Among en-detected and 2ound among the w60% to 80%).

% based on the dow up rounds (as

g among women an optimistic scen0% recall rates

of 45 days, baseanalysis of 36 and

results at screenialues between tr

e in Flanders betby 1.5 to adjust foroxy for overdiagnCIS of 40 per 100

o 80%) as baselinancers at in the age grouhe rest is either in

the screened wo25% is interval cawomen participat

data from the Fles the screening waged 50-69. Fo

nario and 5 and 10are observed fo

ed on IMA data, wd 45 days (subtra

ing were measurerue negative and

49

tween or the nosed 0 000

ne.

up 50-terval

omen, ancer. ing in

emish would or the 0% in

or the

with a acting

ed by false

50

3.3.6. StageWe take estimascreened and uprovided by theFor the stage dstage distributioyears 2004 - underestimatedgoing on, see aFor stage distriis based on thecancer screeninfor the age gdistributions frostage shift we tnot have date stage distributiobe the same, baThe Flemish sscreen detecteparticipants, coperiod 2001-20non participants

e distribution andations of the stagunscreened from

e Flemish screenindistribution in the on amongst wom2008 a good es

d as there is somabove. bution in the scree data from the Dng report of 2009group 70-74 froom different sourthink this approximon screen detecton of cases amonased on the data screening prograed cancers, interollected amongst06. Stage distribus is very similar.

d stage shift ge distribution fothe BCR data o

ng program. unscreened wom

men in the group 7stimation. The stme opportunistic

eened population, Dutch National Ev9 (DNETB)85 whom 1998-2007. Arces is a suboptmates best the Beted cancer in thisng the non screenfrom the Flemish m provided datarval cancers andt women who gaution of interval ca

S

r breast cancer aon the Flanders a

men, we can cons70-74 in Flandersage shift will bescreening in tha

the base case esvaluation Team foo provide data speAlthough using 2timal way of modelgian situation, as age group. We ned and interval cscreening progra

a on the stagesd cancers amonave their consenancers and cance

Screening Breast C

amongst and data

sider the s for the

e slightly at group

stimation or Breast ecifically 2 stage deling a

as we do assume

cancer to m. among gst non

nt in the r among

TinF

S

I

II

II

IV

T

T

ScsBp2S

Cancer

Table 3.1: Stage nterval cancers Flemish screenin

Screencancer

Stage n

2586

I 1306

II 232

V 15

TOTAL 4139

This baseline stag

Stage distributioncancers not founscreening BCR data (Flemispopulation,70-74y2008) Stage  %

I  31.6II  42.3III  16.6IV  9.5

distribution amoand cancers a

ng program 2001

n detected rs

In

% n

62.5% 62

31.6% 65

5.6% 20

0.4% 24

100% 15

ge shift we call Sce

n of nd by

sh y, 2004-

6%  

3% 6% 5% 

ong screen deteamong non part-2006.

nterval cancers

%

24 41.5%

56 43.6%

00 13.3%

4 1.6%

504 100%

enario 1:

StacanscrDascrSt

KCE Report

ected breast canticipants, age 5

Cancers amonon participan

n %

1454 41.8%

1460 42.0%

493 14.2%

71 2.0%

3478 100%

age distribution oncers found by reening

ata of the DNETBreening report 20tage  % 

I  80%II  18.7III  0.8%IV  0.5%

t 176

ncers, 50-69,

ngst nts

%

%

%

%

%

of

B 009

% % % % 

KCE Report 176

Important remscreen detectecancers and nfound by screeother parameteFor the sensitivAs the stage dBreast cancer scan be achievethe stage-distribfrom the FlemisThis we call Sce

Stage distributcancers not foscreening BCR data (Flempopulation,70-2004-2008) Stage 

I  3II  4III  1IV 

In a third scenaInstead of usinwomen, we assthe stage distribthe stage distrifor Flanders fro

6

mark: It is imported cancers and

nonparticipants kening. In most cas

er values of the scvity analysis we usdistribution from screening report od in the Belgian cbution for screen sh cancer screeninenario 2:

tion of ound by

mish -74 years,

31.6%  

42.3% 16.6% 9.5% 

ario we use a slighng stage distributsume that introdubution amongst albution of the wom

om the Belgian bre

tant to note that that in the coho

eep the stage dses this is around creening and variese 2 supplementathe Dutch Natioof 2009 may be mcontext, we used a

detected patientsng program.

htly different modetions amongst sccing screening in ll breast cancer cmen 60-69 in the east cancer regist

S

this shift concerrt with screeningistribution of can50% but depend

es in time. ry scenario’s: nal Evaluation Tmore favorable thas an alternative ss of the age grou

Stage distribucancers foundscreening (Flescreening pro(50-69 years)Stage

I  62II  31III  5IV  0

eling approach. creened and unsthe group 69-74

cases in the popusame period, us

try.

Screening Breast C

rns only interval ncer not s on the

Team for han what scenario up 50-69

ution of d by emish ogramme

2.5% 1.6% 5.6% 0.4% 

screened will shift

ulation to ing data

T

ScsBp2S

3Ssywasw•

Cancer

This we call scena

Stage distributioncancers not founscreening BCR data (Flemispopulation,70-742004-2008) Stage  %

I  31.6II  42.3III  16.6IV  9.5%

3.3.7. Stage spStage specific susurvival data (takeyears. We used website (http://wwappendix 4.1). Wescreened and unswe used also: Entirely the

stagegroup. Tfor women areflect the facwell but it is aMoreover, theyears ago, thi

British surviv(http://info.canbut survival isof the problemsurvival of pevolution in br

ario 3

n of nd by

sh years,

6%  

3% 6% % 

pecific relative survival was takenen from KCE repodata from the D

ww.cijfersoverkanke assumed that sscreened breast c

Dutch survival dThe relative survivbove 70 compar

ct that older womealso possible thate data include pas may also explaival data comingncerresearchuk.ors considerably lowms with 10 year ersons treated areast cancer treat

StaamcanlevlevFlaSta

IIIIIV

urvival n from Belgian ort 150A)86. We oDutch cancer regker.nl) to supplemurvival conditiona

cancer patients. A

data for women val curve shows aed with the overen support the invt there is undertreatients that were in the lower relativg from breast rg/) They provide

wer than the Dutchsurvival data is t

at least 11 yearstment this is a lon

age distribution mongst all breast

ncers if screeninvels are similar tovels among 60-69anders age % 

I  45.7% I  35.9% II  12.5% V  5.9% 

stage specific aonly have data upgister taken from

ment until 7 yearsal on stage is simAs a sensitivity ana

above 70 yearsa lower relative surall survival. Thisvasive treatmentseatment of the eltreated more tha

ve survival. cancer research10 years surviva

h or Belgian datathe fact that it res ago, given theg time.

51

ng o 9 in

nnual p to 5 m the s (see ilar in alysis

s per urvival s may s less derly. an 20

h UK l data . One

eflects e fast

52

• Belgian su

coming frotreatment a

We did not useso that survivaland difficult to iThe survival cu3.3.8. QALYNumber of life was adjusted fo(see point 2.3).We made some• Utility value

age but penot vary acthis). For increase.

• Patients wpopulation.

• In the asseresults, moby screenin

urvival data supplom87. The problapply here as for te US SEER data l curves per stagencorporate in the rves can be found

Y years was calculor the quality of l

e assumptions: es at start of the mrcentage changesccording to the agthe sensitivity a

with negative resu. essment of utility obility and ability ong.

emented by Frenlem of the evothe British data. as they use an o

e are not comparmodel.

d in the annex.

lated for each stalife (QALYs), bas

model (before scrs relative to thesege of the women analysis, we app

lts had utility val

values for true neof self-care were a

S

nch 10 year surviolution in breast

outdated staging rable to the other

age and a stage sed on a literature

reening) were strae values were ass(we did not have

ply a 20% redu

ues equal to the

egative and false assumed to be un

Screening Breast C

val data cancer

method, sources

and this e search

atified by sumed to

data on ction or

general

positive naffected

P

Cancer

In the study oonly two grouTherefore papatients) weresupported by same for patquality indicatchange this ptreated by coassumption aimpact of pcorresponding

Utility values fmetastatic paFor non-metastudy showinNevertheless,QALYs for tak

At baseline, wdiscount rates

Parameters used i

of Lidgren et al.80, ps, i.e. the first ye

atients in stage e assumed to hathe fact that for yients in stage I, tors in breast canicture because monservative surge

are not available partial versus tog to our inclusion for non-metastatic

atients were assuastatic patients, thng no significant , as a sensitivity king into account awe did not discous of 1.5%, 3% andin the model are s

non-metastatic pear of diagnosis aI, II, III (groupeve the same utili

years 2001-2006, II, III according

ncer86. Note that any cancer foundery. Neverthelessand we found nootal mastectomycriteria. c patients (after thumed to remain chis assumption isdifferences at y

analysis we applya variation of utilitunt QALYs. For thd 5% were appliedshown in table 3.2

KCE Report

patients were dividand the following yed as non metaty. This assumptthe treatment wato the KCE repomore recent data

d by screening ares, data to proveo study compariny on quality of

he year of surgeryconstant across ys supported by ayear 5, 10, and y a 20% decremety values across yhe sensitivity anad. 2.

t 176

ded in years. astatic ion is

as the ort on a may e now e this g the f life

y) and years. n US 1581.

ent in years. alysis,

KCE Report 176

Table 3.2: Para

Parame

3.3.1 Age spe

3.3.2 Breast c

Lead tim Over-dia

cancer Over-dia

3.3.3 Participa3.3.4 Proporti

detected3.3.5 Recall r

Durationpositive

QALYs

3.3.6 Stage d

Stage I Stage II

6

ameters used in

eters

ecific overall surviv

cancer incidence

me agnosis invasive

agnosis DCIS

ation rate ion of screened d cancers ate

n of period after result lost in this period

istribution

the model

No screenin

val Belgian life-

BCR data (Flanders population, 2008)

BCR data (Fpopulation, 74years, 202008)

31.6% 42.3%

S

ng Base c

table Belgian

2004-

BCR dpopulaincreasover-diinvasivDCIS 2 years10.0%

40/100year 70.0%70.0%

3.5% (screen45 day

16.0%

Flemish 70-04-

Data oscreen

80.0%18.7%

Screening Breast C

case

n life-table

ata (Flemish ation, 2004-2008) sed by lead time.iagnosis ve cancer of

s

0 000 women per

Flemish ning program) ys

f the DNETB ning report 2009

Cancer

Sensitivity ana

Belgian life-tabl

BCR data (Flemincreased by leacancer of DCIS

3 years range from 3 to

40/100 000 wom

range from 60%range from 60%

range from 2%

range from 36 t

estimated betw

Scenario 2 Stage distributioFlemish screenprogramme (50

62.5% 31.6%

alysis

le

mish population, 2ad time. over-diag

30%

men per year

% to 80% % to 80%

to 10%

to 54 days

een 13% to 19%

Sceon of ing

0-69)

StagBCR60-6not

45.735.9

2004-2008) gnosis invasive

nario 3 ge distribution of R (Flemish women69 (screened and screened)

7% 9%

n

53

54

Stage I Stage IV

3.3.7 Stage s

survival

3.3.8 QALY Stage II

Stage II

Stage IV

Age rela

Discoun

II V

pecific relative

III IV

I IV

V

ated QALY

nted QALY

16.6% 9.5%

Belgian stagspecific annsurvival datasupplement7 years by Ddata -constant

-constant

-constant

-constant

S

0.8% 0.5%

ge nual a ed until Dutch

Belgianannualsuppleyears b

- const

-consta

-consta

-consta

Screening Breast C

n stage specific l survival data mented until 7 by Dutch data

tant

ant

ant

ant

Cancer

5.6% 0.4%

Dutch survival osurvival

-20.0% -20.0% -20.0% range from + 20 discounting rate

12.55.9%

or British survival

0% to -20%

e + 1.5%. 3% and

5% %

or Belgian/French

5%

KCE Report

h

t 176

KCE Report 176

3.4. ResultsIn the baseline of life saved pe395 per 100 00deaths would bbeing a reductioBecause of themodel structureis not due to rasource of inforsensitivity anaprobability-distrTable 3.4 showused for this anand justificationThe number of assumptions. Tdifferent assumuncertain or vagained rather thapart from the vAssumed degreand under the QALY would bslightly, this duenew case in thebut the effect isRecall rates of Ten per cent reAssumptions onimpact on yeaBritish survival loss of QALYs French 10 year

6

s scenario the mod

er 100 000 (13,1 p00 (3.9 per 1000) be averted per 1on of 21% (numbee considerable une we did an extenandom error but drmation on the palysis, as it waributions in a mea

ws the results of thnalysis was discun of chosen valuesf years of life gainThe number of QAmptions. This is ariable parametehan on mortality, values accorded tee of over-diagno

higher assumedbe lost instead oe to the fact that e model, one couls very small.

10% also can shecall rates are actun the choice of thrs of life gained data increase thein certain scenari

r survival is somew

del predicts that thper 1000) women QALYs. The mod00 000 women ser needed to be oncertainty surrounnsive sensitivity adue to issues relaparameter. We das not possible ningful way.

he sensitivity analussed in 3.3, descs. ned remains fairlyALY gained or lost

partly due to thrs have an impasuch as high rec

to the QALYs. osis has a strong d values of 20%of gained. Years an over diagnosed argue that this i

hift the balance toually found in somhe appropriate sur

and QALYs gaie number of life yos. Belgian survivwhere in between

S

here would be 130invited for screen

del also predicts screened (1.3 pe

offered screening:nding the parametanalysis. Most uncating to the right cid not do a probto choose app

ysis, the plausiblecription of the par

y constant under t varies much mohe fact the a lotact on the qualitcall rates, over dia

impact on QALYsor 30% even imof life gained in

ed case cannot beis somewhat of an

owards a loss of me parts of Belgiumrvival curve have ned. The Dutch

years gained but lval data suppleme.

Screening Breast C

07 years ning and that 128

er 1000), 782). ters and certainty

choice of babilistic propriate

e ranges rameters

different re under t of the y of life agnosis,

s gained mply that ncreases ecome a n artifact

QALYs. m. both an and the ead to a ented by

InoTththQTndsIIegainAQAredp3Aredp1AGsy

Cancer

ncreasing the assof life gained and QThe model’s estimhe valuation of thhe decrease in qQALYs gained, asThe estimations conot vary much in decrement in quascenarios: (i) decrII and IV with 20effect of increasingains in QALYs duas persons in stagn contrast to the LAs could be expecQALYs gained. As a worst case secall rate at 10%

days and using thprogram (scenario307 QALYs per 10As a best case scecall rate at 2%,

days and using thprogram (scenario

626 QALYs per 1Applying the 22%Götzsche et al. tosimilar result, 139 years of life saved

sumed lead time tQALYs.

mation of the numbhese QALYs. Dimquality of life dues could be expecteoming from the Lfunction of the d

ality of life due toreasing stage II II0% or (iii) decreag the number of ue to the stage shge I have in this sLidgren data. cted, introducing d

scenario, we set th%, loss of QALYs he stage distributio 2). This gives a00 000. cenario, we set tloss of QALYs p

he stage distribuo 1). This gives a 100 000. % reduction in mo the Belgian life t

cancers deaths dd.

to 3 years has an

ber of QALYs gainminishing the age e to old age, deced. idgren’s paper areifferent stages. W

o increasing stageI and IV with 20%

asing stage IV wQALYs gained, bhift alone outside cenario a better a

discount rates de

he estimation of oper recall at 0.19ion coming from gain of 872 Yea

he estimation of per recall at 0.13 tion coming fromgain of 1704 Yea

mortality from thtable, as describedue to breast can

n impact on both

ned or lost depenrelated QALYs, t

creases the numb

e fairly uniform anWe introduced a le at diagnosis, w

%, (ii) decreasing ith 20%. This ha

because there arethe effect on mor

assumed quality o

creases the numb

over diagnosis at 9 during a period the Flemish scrers of Life but a lo

over-diagnosis aduring a period

m the Dutch scrers of Life and a g

e meta-analysis ed above, gives ancer avoided and

55

years

ds on this is ber of

nd do larger with 3 stage

as the e also rtality, of life,

ber of

20%, of 54 ening

oss of

t 3%, of 36 ening ain of

from a very

1145

56

Table 3.3 Mode

Scenario

Baseline

Worst case

Best case

eling results: bas

Assump

Over recall loss of Qduring astage Dutch (scenarioOver recall loss of Qduring astage Flemish (scenarioOver recall loss of Qduring astage Dutch (scenario

seline, worst and

ptions

diagnosis: rate at 3

QALYs per recall a period of 45 distribution comscreening prog

o 1) diagnosis: rate at

QALYs per recall a period of 54 distribution comscreening prog

o 2) diagnosis: rate at

QALYs per recall a period of 36 distribution comscreening prog

o 1)

S

d best case scen

Years of lPer 100 00women

10%3.5%0.16days ming gram

1307 gaine

20%10%0.19 days ming gram

872 gained

3%2%

0.13 days ming gram

1704 gaine

Screening Breast C

nario.

ife 00

Quality adPer 100 00women

ed 395 gained

d 307 lost

ed 1626 gaine

Cancer

djusted years of l00

d

ed

life

KCE Reportt 176

KCE Report 176

Table 3.4 Mode

Baseline Assumed over0.03 0.05 0.1 0.2 0.3 Recall rate 0.02 0.035 0.05 0.1 Period betweeduration 36 days 45 days 54 days Period betweeQALYs lost QALYs loss peQALYs loss peQALYs loss peParticipation r0.6

6

eling results: sen

rdiagnosis

en false positive

en false positive

eriod 13% eriod 16% er period 19% rate

nsitivity analysis

e and confirmat

and confirmatio

S

s.

Stagescena

Years1307 13041305130713101314 1307130713071307

ion test:

130713071307

on test:%

130713071307 1120

Screening Breast C

eshift ario 1

s of life QALYs395 526 489 395 208 22 442 395 348 190

417 395 373

416 395 374 281

Cancer

Stageshift scenario 2

Years of life1014 1011 1012 1014 1018 1022 1014 1014 1014 1014

1014 1014 1014

1014 1014 1014 869

Stsc

QALYs Ye186 12 317 12280 12186 120 12-187 12 234 12186 12139 12-19 12

208 12186 12164 12

207 12186 12166 12 102 na

tageshift cenario 3

ears of life QA246 420

245 551245 514246 420249 232251 45

246 459246 420246 380246 249

246 438246 420246 401

246 449246 434246 420

a na

ALYs 0

1 4 0 2

9 0 0 9

8 0 1

9 4 0

57

58

0.7 0.8 Effectiveness 0.6 0.7 0.8 Survival curveDutch survivalBritisch survivBelgian survivAssumed leadAll QALYs minAll QALYs plusStage II III IV -2Stage III IV -20Stage IV -20 Discounted QADiscount rate Discount rate 3Discount rate 5

screening amon

e by stage from ol val val supplementedd time 3 years nus 20% s 20% 20 0

ALYs 1.5% for QALYs 3% for QALYs 5% for QALYs

ngst participants

other sources

d by French data

S

13071493 112013071493 16071714

a 1460109813071307130713071307 130713071307

Screening Breast C

395 509 281 395 509 710 399 473 118 -948 1587 903 648 450 297 215 138

Cancer

1014 1159 869 1014 1159 1181 1148 1045 875 1014 1014 1014 1014 1014 1014 1014 1014

186 na270 na 102 na186 na270 na 310 14-3 1596 1377 11-1089 121310 12465 12370 12241 12 121 1267 1215 12

a naa na

a naa naa na

481 505585 374365 477169 187246 -78246 153246 na246 na246 na

246 274246 193246 114

KCE Report

5 4 7 7 7

34

4 3 4

t 176

KCE Report 176

3.5. DiscusUnder baselinelimited impact osaved, amountiin that period andays of life gainThis results fallfound as reportranged from 9 tthat completelyYears of life gachoose a worstfrom 872 to 170on the meta-anthat this estimaestimation methgained are fairlyThe gain in quonly 3.9 QALYwomen) offereddata in anothescreening for 5shows that undin this age groimportant of thcertain parts of addressed befoThe worst casescreened, we mare still reasonelements wereeffect is sometquality of life pQALYs gained This is due to false positives a

6

sion e assumptions, son breast cancer ding to 1.4 death and 13 years of lifened per women ofl within the rangeted by Mandelblatto 22 per thousan

y different data andained remained fat and best case s04. It correspondsalysis of Götzsch

ation comes from hod. This indicatey robust and consality adjusted life

Ys per 1000 womd screening and uer way by statin5 years to gain

der certain assumoup would actualese is an assum

f Belgium, so thesore proceeding. e scenario would made sure that thnable assumption not considered imes mixed. Brin

per age-group incdepending on ththe fact that intr

and over diagnosi

screening in the deaths avoided a

avoided per 1000 e saved per 1000 ffered screening. e that the modelett et al in 200948, wnd women screend model structureirly constant in thscenario, with yeas also with the sime et al.4 and the Ba completely diff

es that the estimasistent with other s years (QALYs) i

men (1.4 quality ncertainty is large

ng that 250 womone year of life.ptions introducinglly generate a lo

med recall rate ofse high recall rate

imply a loss of 3 e assumptions of

ns and not undulin the worst casging down the bacreases or decreae chosen values

roducing screeninis but gains due to

S

age group 70-74nd number of yeawomen offered scwomen, amountin

ers of the CISNETwhere years of lifened. This, despites were used. e sensitivity analyars of life gained mplified estimatioBelgian life tables,ferent source of dations of the yeastudies. is considerably leadjusted day of

er. One can presemen need to be The sensitivity

g breast cancer scoss of QALYs. Thf 10%, as is the

es should certainly

QALYs per 1000f this worst case sy extreme. A nuse scenario becaaseline estimationases the final nuof the other para

ng induces losseso the stage shift.

Screening Breast C

4 has a ars of life creening ng to 4.7

T project e gained the fact

ysis. We ranging

on based , despite data and rs of life

ess, with life per

ent these offered

analysis creening he most case in

y first be

0 women scenario

umber of ause the n for the umber of ameters. s due to

UsTyupocuuccatooisCZlin51freTitcbandoTsina

Cancer

Under the best cascreened. The higher variabyears of life losuncertainty arounparticular concernother hand rather countries and in uncertainty arounduncertainty concecancer states but cost-effectivenessaddressed if we wo stage IV has onor lost as survival s low. Carles et al. 201Zeelen, found an fe years gained p

not report the QA50-69, as it was

.86 QALYs per 1rom 45-69. Intereet al, 201158 into thThe model takes it does not take cancers would habecause screeninare not life threatenon screen detectdetected cases is of stage, and thatThis indicates thaselection of less anterval cancers hattending screenin

ase scenario one w

bility seen in the t has a numbed key parameter

ning over-diagnosreflects real undBelgium betwee

d the valuation oferning the qualitalso age specific analyses are

want to have meanly a limited impain this stage is s

138, in an adaptincremental bene

per 1000 women cALYs gained with

dominated by sc1 000 were gaineestingly, they did nheir calculations, nto account over-into account leng

ave a slower cling tends to pick-uening. Follow up sted cancer in thebetter than case

t survival of intervat there may indaggressive cancehave a better sung indicates that

would gain 16 QA

estimation of theer of reasons. Trs that determineis. Variability due

derlying differencen regions. Theref the quality of lify of life surrounquality of life in Bconsidered, this

aningful results. Qct on overall numhort and proportio

ation of the CISefit for biannual sccompared to a schextending the screening from 45-

ed by extending tnot incorporate thbut used US surv-diagnosis and leagth bias, the factical course and

up slow growing tstudies of screen

e literature show tes among non parval cases is somdeed be a lengtrs by screening.

urvival than canceother factors also

ALYs per 1000 wo

e QALYs comparThere is considee a loss of QALYe to recall rates oes in practice bete is also considefe, and this is notnding different bBelgium. If in the fs problem shoulQuality of life attribmbers of QALYs g

on of stage IV pa

NET model of Lcreening 50-74 ofhedule 50-69. Thecreening to 50-74- 69, but reportedthe screening to 4he results of Vilapvival data. ad time bias. Howt that screen-dethave a better sutumors some of wdetected cancers

that survival of scrticipants, indepenewhat in betweenth time bias, thrHowever, the facer among womeo play a role, suc

59

omen

red to erable Ys, in on the tween erable t only breast future d be buted ained

atients

Lee & f 2.78 ey did from

d that 45-74 prinyo

wever, ected

urvival which s and creen ndent n88-91. rough ct that n not ch as

60

selection bias amongst womeadjustment for sand on effectinecessarily negthreatening canimpact on efficand greater cosWe unfortunateunscreened woMoreover, therecurves that will survival may beAnother majordistributions of on stage distrcancers and thscreening are vWe choose a mshift and its coessentially tumoto stay closer incorporating pathat the model overall effect odetected basedcan only evaluaBelgium, we cahowever needeto use the samewe would just mIn conclusion, tchoice of the pthe results. ThYears of Life gthere is eviden

(such as the soen non attending stage. However leveness, as detegatively correlatencers at an earlierciency, as detectist for no benefit toely did not have domen, tumors foe is in general coapply in the futur

e outdated. r source of uncthe diagnosed c

ibution show thae cancer amongs

very similar. modeling approac

onsequences, in cor growth modelsto the data and arameters based is less flexible an

of screening on td on Belgian dataate the effect of thannot vary the sced to parameterizee parameters that

merely replicate ththere is considera

parameters, so a is uncertainty is

gained and QALYce that continuing

ocial class or othscreening) and reength time has no

ection of slow gre with the ability r stage. Length timon of indolent tu

o women. ata on stage spec

ound by screeninonsiderable uncerte, as treatment ev

certainty is the cancers and stageat the stage distst the people who

ch that is essentcontrast to most s. This has the adv

make less use on Belgian data, nd has more simpthe proportion of a in the group 50he screening schereening interval. We the CISNET mot are already usedhem. able structural unlot of caution is nreflected in the

Ys gained in the eg screening until

S

er health relatedesidual confoundo direct impact onrowing tumors dto detect potenti

me has indeed a numors means mo

cific survival for tung and interval ctainty around thevolves and actual

right choice oe-shift. The Flemtributions of the o do not participat

tially based on thCISNET models vantage that it alloof unobserved vabut has the disadplifications. We mcancers that are-69. This implies

edules actually in We do not have

odels and would bd in the published

certainty around needed when intewide range of esend result. Neverthe age of 74 ye

Screening Breast C

d factors ing after efficacy oes not ially life-negative

ore harm

umors in cancers. survival data on

of stage ish data interval

te in the

he stage that are owed us ariables,

dvantage model an e screen

that we place in the data

be forced models,

the right erpreting stimated rtheless, ears has

muthloa

Cancer

modest effect on tuncertainty on thehat under reasonoss of quality adjuacceptable level b

the number of Lifee effect on qualitynable assumptionusted life years. Itefore extending s

e Years Saved buy adjusted life yeas the interventiont is important to b

screening.

KCE Report

ut there is considears, and the data n may even leadbring the recall rat

t 176

erable show

d to a tes to

KCE Report 176

4. ANSWWhat are clinbreast canceryears?

4.1. Breast What is the effescreening on thfor breast cancobtain an extra predicts that 12(1.3 per 1000),

4.2. Delay bHow long is thcancer relatedbetween 4 and

4.3. OveralWhat is the effescreening on tyears) of breasunclear. Studiemortality reduct

4.4. MorbidWhat is the effescreening on min randomized cor reject the hycancer diseasemorbidity may bcurrently at ourthe most recentconservative sadvanced stage

6

WER TO CLnical benefits anr organized scre

cancer relatedect of an extensiohe breast cancer rcer between the 13 years of life fo

28 deaths would being a reduction

between the sce delay between

d mortality reduc7 years after scre

l mortality ect of an extensiothe overall mortast cancer organizes did not have tion.

ity ect of an extensio

morbidity? We foucontrol trials. In o

ypothesis that scre. Aim of screeninbe diminish by lesr disposal do not t data (KCE repor

surgery versus 3es (C Stage I an

LINICAL QUnd specific harmeening in wome

d mortality n (70-74 years) orelated mortality?ages of 70 and

or 1,000 women sbe averted per 1

n of 21%.

creening and th the screening action? The morteening

n (70-74 years) oality? The effect zed screening onstatistical power

n (70-74 years) ond no data relatether words, on theening reduces thg is to detect minss aggressive treenable us to ratifrt 150)86 show 58%38% of total mand II). Nearly 90%

S

UESTIONSms of an extenen between 70

f breast cancer orThe continued sc74 makes it pos

screened. The mo00 000 women s

he mortality rednd the associatedtality reduction

f breast cancer orof an extension

n the overall mor to detect an a

f breast cancer ored to the cancer mis basis we do nohe morbidity of thor tumors. Conseatment. The Belgfy this assertion. A% of the interventastectomies in th% of patients und

Screening Breast C

S nsion of

and 74

rganized creening ssible to odel also screened

duction d breast appears

rganized n (70-74 ortality is all-cause

rganized morbidity ot accept e breast

equently, gian data Actually, tions are he least dergoing

ctrtr

4Wre3sans

4Wtoo

4Wtrc7mgTmtoinfi

Cancer

conservative surgereatment of neoreatment.

4.5. False posWhat are the speesults? The Belg

3,5% in Flandersscreening round. Aand rates of false negative results screening round (B

4.6. AdditionaWhat are the speco forty additional offered screening

4.7. Over-diagWhat are the spreatment? Basedcases), ranged fro70 to 79 years amastectomies andgroups (no data sThree trials with amastectomies ando 1.42). Two trincrease in interveive trials combine

ery also receive ro-adjuvant chemo

sitive or false necific harms in tegian data currentlys and of 10% At this age groupnegative results aare 1.5 per 100BCSC-USA).

al diagnostic tescific harms in termpunctures or biop(three rounds).

gnosis and ovepecific harms ind on selected stom (7% to 21%) toare available). Gd lumpectomies wspecific for womeadequate randomid lumpectomies (Rals with subopti

entions (RR of 1.4d was 1.35 (95%

adiotherapy treatmotherapy, and 4

negative resultserms of false posy at our disposalin Walloon and , performance ofare relatively low.00 women aged

sts ms of additional diapsies may be expe

er-treatment n terms of overudies, over-deteco 35% (no data spGötzsche reportedwas significantly len aged 70 to 79ization showed a Relative Risk (RRmal randomizatio

42 (95% CI 1.26 toCI 1.26 to 1.44).

ment, 38% are giv1% receive hor

s sitive or false negl show a recall ra

Brussels regionmammography is For USA, rate of

70 to 79 years

agnostic tests? Twected per 1000 wo

r-diagnosis and ction (excluding pecific for women d that the numblarger in the scre9 years are availa

significant increaR) 1.31, 95% (CI)on showed the o 1.61)). The RR f

61

ven a mone

gative ate of n per s high f false s per

wenty omen

over-DCIS aged

ber of eened able). ase in ) 1.22 same for all

62

4.8. What acase of

It is advisable doctor should dIn this way, recommended:• Information• Decision m• Steering of

methods thThe criteria defmake provisionused, the doubthe recall rate95

criteria laid dowtherefore logicatowards these s

attitude should f self referral? that when a pat

develop a strategyan attitude stru

n specific to the agmaking according t

f the person whohat minimize the dfined in the frame for the monitorin

ble reading of the5. In Belgium, thewn in the contexal to steer those wstructures.

be recommend tient asks her doy minimizing the ductured around

ge bracket93 to the patient pers

o so wishes towardrawbacks. ework of the Eurong of the technicae mammographiese approved mammxt of the Europeawomen who expl

S

ded for women

ctor for a screendrawbacks of scre

three phases

sonal assessmentrds a screening i

pean Programmel quality of the eqs, and an optimizmography units man Programme, aicitly request a sc

Screening Breast C

n in

ning, the eening92. can be

t94 nvolving

e notably quipment zation of meet the and it is creening

Cancer

KCE Reportt 176

KCE Report 176

5. REFER1. Paulus

Good KnowleAvailabhttp://kc

2. Verleyerisk foscreenid'experAvailabhttp://wrisk-for-

3. Mambocancer of 40-4Health reports http://kc

4. Gotzscmammo2011(1

5. Nelson ScreenServiceW237-4

6. Bieshestudy moverdetLancet

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Cancer.

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quality of life in v, long-term effect

mes. 2010;8(11):2anker LETvbngsonderzoek na

ur S, Vrijens F, n E. Quality indicl Practice (GCP).

(KCE); 2010.

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s of screen-deten based study. BMH, Lehtimaki T, Ho

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NK, Rosenberg MAryback DG. Retring mammographY, van Oortmarsse MISCAN-Fadia . J Natl Cancer Innyo E, Rue M, tion of age- an

al functions usingr. 2009;9(98). H, Karesen R, ing in Norway: Re

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graphy screening frment. J Gerontol

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rzoek naar borsimplementatiefaseevolkingsonderzo00;144(23):1124-9Houssami N, Kerly reduces with ag

Salkeld GP, Housmammography in

Screening Breast C

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Robinson alysis of 774-82.

Habbema or breast :56-65. onso M.

cancer a. BMC

mography d in four tionwide

with and 4):14-24;

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or breast 13(2):59-

stkanker e 1990-

oek naar 9. likowske e. Evid.-

ssami N. n women

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70. Feuer EJ, understanfrom mam2004;13(6

71. Grivegneecancer du

72. Habbema U.S. breasmeasures2006;Mon

73. Mandelblaal. The co65 years: Task Forc

74. Prevost Tgeneralizeof breast c

75. Rautenstrawaste of m

s and over: a(6):266-71. L. De voor- en n

dence-based infounde. 2009;153. S. To screen or n

in older women.

A, Abraham LA, M, et al. Factors aused to detecraphy. Am. J. Roeg HJ. Breast canciol. 2000;33(1):32Etzioni R, Cronind the impact of

mmography and 6):421-42. e AR, Autier P. A sein en BelgiqueJD, Tan SY, Cr

st cancer mortality informative? ographs.(36):105

att J, Saha S, Teuost-effectiveness o

a systematic rece. Ann Intern MedTC, Abrams KRed synthesis of evcancer screening.auch J. Is mam

money? MMW-Fo

systematic re

nadelen van borsormatie. Nederla

ot to screen: the . Public Health R

Miglioretti DL, Yaassociated with imct breast cancentgenol. 2007;18cer screening; cos2-7. n KA, Mariotto A. Tscreening on U.SPSA testing. Sta

Approche econome. Rev Med Brux. 2ronin KA. Impact y, 1975-2000: are

J Natl Can5-11. utsch S, Hoerger of screening mameview for the U.Sd. 2003;139(10):8

R, Jones DR. Hvidence: an exam Stat Med. 2000;1

mmography screertschr. Med. 2000

KCE Report

view. Med J

stkankerscreeningands Tijdschrift

issue of breast caRev. 2001;29(2-4)

abroff KR, Sicklesmaging and procecer after scre8(2):385-92.

st-effective in prac

The use of modelS. mortality: examat Methods Med

mique du depistag2001;22(4):A277-

of mammographe intermediate outncer Inst Mo

T, Siu AL, Atkins mography beyond

S. Preventive Ser835-42. ierarchical mode

mple based on st19(24):3359-76. ning only a poin

0;142(12):4-10.

t 176

Aust.

g: tijd voor

ancer ):231-

s EA, edural ening

ctice?

ing to mples

Res.

ge du -81. hy on come

onogr.

D, et d age rvices

els in tudies

ntless

KCE Report 176

76. Xu W,

women77. Berry D

et al. Ebreast c

78. Carter the stud

79. CleempRecomBelgiqufédéral 78B (D/

80. Lidgrenquality 2007;16

81. Freedmstates ocancer.

82. Burstroof life populat

83. Gerard attributespecific

84. Domeyrelated effects,Outcom

85. Borstkabevolki2010.

86. StordeuEyckenClinicalCentre

6

Vnenchak P, Sn aged 70 to 79 yeDA, Cronin KA, PleEffect of screenincancer. N Engl J KJ, Castro F, Kesdy of breast canceput I, Van Wilder mandations pour

ue. Health technod'expertise des s

/2008/10.273/24) n M, Wilking N, of life in differen6(6):1073-81.

man GM, Li T, Anof women after co. Breast Cancer R

om K, Johannessoby disease and

tion in Sweden. H K, Johnston K, e health classific health state descyer PJ, Sergentan

quality of life in v, long-term effect

mes. 2010;8(11):2anker LETvbngsonderzoek na

ur S, Vrijens F, n E. Quality indicl Practice (GCP).

(KCE); 2010.

Smucny J. Screears. J. 2000;49(3evritis SK, Frybac

ng and adjuvant tMed. 2005;353(17ssler E, Erickson er. Comput Biol MP, Vrijens F, Huybles évaluations plogy Assessment soins de santé (K Jonsson B, Reh

nt states of breas

nderson PR, Nicoonservative surgerRes Treat. 2010;12on M, Diderichsend socio-economic

Health Policy. 2001Brown J. The roication measure criptions. Health Enis TN, Zagouri vacuum-assisted ts and predictors.2010. bn. Landelijkeaar borstkanker i

Beirens K, Vlaycators in oncologBrussels: BelgianKCE reports 15

S

eening mammogr3):266-7. ck DG, Clarke L, Ztherapy on morta7):1784-92. B. A computer m

Med. 2003;33(4):3brechts M, Ramae

pharmacoéconomi(HTA). Bruxelles

KCE); 2008. KCE

hnberg C. Healthst cancer. Qual L

laou N, Konski Ary and radiation fo21(2):519-26. n F. Health-relatedc group in the 1;55(1):51-69.

ole of a pre-scorein validating co

Econ. 1999;8(8):6F, Zografos GC. breast biopsy: sh Health & Quality

e evaluatie n Nederland 199

yen J, Devriese gy: breast bancen Health Care Kn50C (D/2010/10.2

Screening Breast C

raphy in

Zelen M, lity from

model for 45-60. ekers D. iques en

s: Centre Reports

h related Life Res.

A. Health or breast

d quality general

ed multi-ondition-

685-99. Health-

hort-term y of Life

van 90-2007.

S, Van er. Good owledge 273/101)

8

8

8

9

9

9

9

9

9

Cancer

Available http://kce.f

87. INC. Survétat des lie

88. Mook S, Vvan Leeuwdetection 2011;103(

89. Cortesi L, Prognosispopulation

90. Joensuu HT, Kataja detected 2004;292(

91. Olsson A,J. Tumourby screen

92. PhysiciansPreventive

93. Woloshinmammogr2010;303(

94. Jorgensenfunded sc

95. Perry N, BL. Europescreening Oncol. 200

fgov.be/index_envie attendue des peux. 2010.

Van 't Veer LJ, Ruwen FE, et al. In

in invasive br(7):585-97. Chiuri VE, Rusce

s of screen-deten based study. BMH, Lehtimaki T, Ho

V, et al. Risk foby mammograph(9):1064-73. Borgquist S, Butr-related factors aing. Br J Surg. 20s AAoF. Summae Services. In: AA

S, Schwartz raphy screening: (2):164-5. n KJ, Gotzsche reening mammog

Broeders M, de Wean guidelines fo

and diagnosis. F08;19(4):614-22.

.aspx?SGREF=52patients atteints d

utgers EJ, Ravdin ndependent prognreast cancer. J

elli S, Bellelli V, Nected breast ca

MC Cancer. 2006;olli K, Elomaa L, Tor distant recurre

hy screening or o

tt S, Zackrisson Sand prognosis in b012;99(1):78-87. ary of Recomme

AFP Policy Action LM. The beneunderstanding t

PC. Content of graphy. BMJ. 2006

Wolf C, Tornberg Sor quality assuraFourth edition--sum

211&CREF=1884de cancers en Fra

PM, van de Veldenostic value of scJ Natl Cancer

Negri R, Rashid I, ancers: results 6:17. Turpeenniemi-Hujence of breast caother methods. J

S, Landberg G, Mbreast cancer det

endations for ClAAFP; 2010. efits and harmthe trade-offs. JA

invitations for pu6;332(7540):538-4, Holland R, von K

ance in breast cammary document

69

from: 47 ance :

e AO, creen

Inst.

et al. of a

janen ancer Jama.

Manjer ected

linical

ms of AMA.

ublicly 41. Karsa ancer t. Ann