GRADE guidelines: 5. Rating the quality of evidence--publication bias.
In the GRADE approach, randomized trials start as high-quality evidence and observational studies as low-quality evidence, but both can be rated down if a body of evidence is associated with a high risk of publication bias. Even when individual studies included in best-evidence summaries have a low risk of bias, publication bias can result in substantial overestimates of effect. Authors should suspect publication bias when available evidence comes from a number of small studies, most of which have been commercially funded. A number of approaches based on examination of the pattern of data are available to help assess publication bias. The most popular of these is the funnel plot; all, however, have substantial limitations. Publication bias is likely frequent, and caution in the face of early results, particularly with small sample size and number of events, is warranted.
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- Statistics as Topic
- Review Literature as Topic
- Randomized Controlled Trials as Topic
- Publication Bias
- Practice Guidelines as Topic
- Meta-Analysis as Topic
- Evidence-Based Medicine
- Epidemiology
- Drug Industry
- Cross-Sectional Studies
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Statistics as Topic
- Review Literature as Topic
- Randomized Controlled Trials as Topic
- Publication Bias
- Practice Guidelines as Topic
- Meta-Analysis as Topic
- Evidence-Based Medicine
- Epidemiology
- Drug Industry
- Cross-Sectional Studies