Copyright © 2021 pubrica. All rights reserved 1

What are the Different Sources of Data Used

to Extract for Writing a Systematic Review

Dr. Nancy Agnes, Head, Technical Operations, Pubrica, sales@pubrica.com

In-Brief

Systematic reviews have studied rather than reports

as the unit of interest. So,many reports of the same

study need to be identified and linked together

before or after data extraction.Because of the

growing abundance of data sources (e.g., studies

registers, regulatory records, and clinical research

reports), review authors can determine which

sources can include the most relevant details for the

review and provide a strategy in place to address

contradictions if evidence were inconsistent

throughout sources.

I. INTRODUCTION

Systematic analyses seek to find all important trials to

their study issue and synthesise information about the

design, risk of bias, and outcomes of those studies. As

a result, a systematic study is heavily dependent on

interpreting and analysing evidence from these

analyses. For systematic analyses, data collected

should be reliable, complete, and available for future

updating and data sharing. The methods used to make

these choices must be straightforward, and they

should be selected with prejudgments and human

error in mind .We define data collection methods used

in systematic reviews, including data extraction

directly from journal articles and other case study

reports.

II. DIFFERENT SOURCES OF DATA

1. Journal articles are the bulk of data in

systematic reviews that comes from this source.

It's worth noting that a thesis can be published in

many journal papers, each reporting on a

different part of the research (e.g. design, main

results, and other results).

2. Abstracts from conferences are widely

accessible. On the other hand, conferencing

abstracts are extremely subjective in terms of

efficiency, precision, and level of description.

3. Errata and letters will provide valuable

knowledge about experiments, such as critical

flaws and retractions, and research reviewers can

investigate them where they are found .

4. Trials registers keep track of studies that have

been designed or begun. They've become a

valuable resource for locating experiments,

matching reported outcomes and effects to those

expected, and collecting feasibility and safety

evidence that isn't readily accessible elsewhere.

5. Clinical research reports (CSRs) are

unabridged and concise accounts of the clinical

challenge, nature, behaviour, and outcomes of

clinical trials that meet the International

Conference on Harmonisation's format and

content guidelines (ICH). Pharmaceutical firms

apply CSRs and other required documents to

regulatory authorities to secure marketing

clearance for medications and biologics for a

particular indication.

6. Regulatory reviews, such as those obtainable

from the US Food and Drug Administration or

the European Medicines Agency, may offer

invaluable information about drug, biologic, and

medical product trials applied for marketing

approval by manufacturers. These papers are

summaries of CSRs and associated documents

prepared by agency personnel as part of

authorising goods for sale after a reanalysis of

the initial trial results.

7. Individual participant data (IPD) is normally

requested directly from the study's researchers,

or it can be found in open data repositories.

Variables that reflect each participant's profile,

intervention (or exposure) population, prognostic

factors, and outcome metrics are usually included

in these data.

Copyright © 2021 pubrica. All rights reserved 2

III. DATA EXTRACTION TOOLS

i. Excel

Excel is the essential device for managing the

screening and information extraction phases of the

systematic review measure. We can design

customised workbooks and spreadsheets for

systematic review. A further developed way to utilise

Excel for this object is the PIECES approach, planned

by a librarian at Texas A&M.

ii. Covidence

Covidence is software built explicitly for dealing with

each progression of a systematic review project,

including data extraction.

iii. RevMan

RevMan is free software used to oversee Cochrane

surveys. For more data on RevMan, including

clarifying how it could be utilised to extricate and

examine information.

iv. SRDR

SRDR (Systematic Review Data Repository) is a

Web-based tool for extracting and managing data for

systematic review. It is additionally an open and

accessible document of a systematic review and their

information.

v. DistillerSR

DistillerSR is a systematic review management

program. It guides the reviewer in making project-

explicit structures, separating, and examining

information

IV. CONCLUSION

A systematic review article is not conceivable

without a decent literature search. The writing search

has its principles that, for the most part, apply to both

unique and review examines. A detailed review

includes a literature search method guided by keeping

an accurate and straightforward record of the whole

cycle. It is valuable to outline an Excel table where

the choice measures will record references of studies.

This will assist the reviewer with understanding the

methodology, and the outcomes got. If any inquiries

ought to emerge, this proof will make it simple to

discredit and clarify any doubts about the cycle or the

outcomes.

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