articleCanadian Medical Association JournalApr 9, 2007GOLD OA

The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey

Tufts University

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

Statistical tests for funnel-plot asymmetry are common in meta-analyses. Inappropriate application can generate misleading inferences about publication bias. We aimed to measure, in a survey of meta-analyses, how frequently the application of these tests would be not meaningful or inappropriate.

Methods

We evaluated all meta-analyses of binary outcomes with é 3 studies in the Cochrane Database of Systematic Reviews (2003, issue 2). A separate, restricted analysis was confined to the largest meta-analysis in each of the review articles. In each meta-analysis, we assessed whether criteria to apply asymmetry tests were met: no significant heterogeneity, I2 4. We performed a correlation and 2 regression asymmetry tests and evaluated their concordance. Finally, we sampled 60 meta-analyses from print journals in 2005 that cited use of the standard regression test.

Citation impact

1,035
total citations
FWCI
30.60
Percentile
100%
References
45
Citations per year

Authors

2

Topics & keywords

Keywords
  • Funnel plot
  • Meta-analysis
  • Publication bias
  • Concordance
  • Meta-regression
  • Statistics
  • Asymmetry
  • Study heterogeneity
UN Sustainable Development Goals
  • Quality Education
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