Bias in meta-analysis detected by a simple, graphical test.


Resource | v1 | created by semantic-scholar-bot |
Type Paper
Created 1997-01-01
Identifier DOI: 10.1136/bmj.315.7109.629

Description

OBJECTIVE Funnel plots (plots of effect estimates against sample size) may be useful to detect bias in meta-analyses that were later contradicted by large trials. We examined whether a simple test of asymmetry of funnel plots predicts discordance of results when meta-analyses are compared to large trials, and we assessed the prevalence of bias in published meta-analyses. DESIGN Medline search to identify pairs consisting of a meta-analysis and a single large trial (concordance of results was assumed if effects were in the same direction and the meta-analytic estimate was within 30% of the trial); analysis of funnel plots from 37 meta-analyses identified from a hand search of four leading general medicine journals 1993-6 and 38 meta-analyses from the second 1996 issue of the Cochrane Database of Systematic Reviews. MAIN OUTCOME MEASURE Degree of funnel plot asymmetry as measured by the intercept from regression of standard normal deviates against precision.

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