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Journal article

COSMOS-E: uidance on conducting systematic reviews and meta-analyses of observational studies of etiology

Abstract:

Background

To our knowledge, no publication providing overarching guidance on the conduct of systematic reviews of observational studies of etiology exists.

Methods and findings

Conducting Systematic Reviews and Meta-Analyses of Observational Studies of Etiology (COSMOS-E) provides guidance on all steps in systematic reviews of observational studies of etiology, from shaping the research question, defining exposure and outcomes, to assessing the risk of bias and statistical analysis. The writing group included researchers experienced in meta-analyses and observational studies of etiology. Standard peer-review was performed. While the structure of systematic reviews of observational studies on etiology may be similar to that for systematic reviews of randomised controlled trials, there are specific tasks within each component that differ. Examples include assessment for confounding, selection bias, and information bias. In systematic reviews of observational studies of etiology, combining studies in meta-analysis may lead to more precise estimates, but such greater precision does not automatically remedy potential bias. Thorough exploration of sources of heterogeneity is key when assessing the validity of estimates and causality.

Conclusion

As many reviews of observational studies on etiology are being performed, this document may provide researchers with guidance on how to conduct and analyse such reviews.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pmed.1002742

Authors


More by this author
Role:
Author
ORCID:
0000-0002-1333-7580
More by this author
Role:
Author
ORCID:
0000-0002-9115-4405
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
ORCID:
0000-0002-7183-4083


Publisher:
Public Library of Science
Journal:
PLoS Medicine More from this journal
Volume:
16
Issue:
2
Article number:
e1002742
Publication date:
2019-02-21
DOI:
EISSN:
1549-1676
ISSN:
1549-1277
Pmid:
30789892


Language:
English
Pubs id:
pubs:976268
UUID:
uuid:a15b6658-83fc-4729-9a9e-491fc573e06b
Local pid:
pubs:976268
Source identifiers:
976268
Deposit date:
2019-03-04

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