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#Trim and fill comprehensive meta analysis registration#
2 Additionally, steps are being taken to encourage the prospective registration of trials through trial registries. Recently, for example, a trial amnesty was announced that encouraged researchers to submit for publication reports of previously unpublished trials. The best way to deal with these problems, which we shall collectively label “publication bias,” is to avoid them. 1 A meta-analysis based on a literature search will thus include such studies differentially, and the resulting bias may invalidate the conclusions. Selection bias is known to occur in meta-analyses because studies with results that are significant, interesting, from large well-funded studies, or of higher quality are more likely to be submitted, published, or published more rapidly than work without such characteristics. Nevertheless, researchers should check routinely whether conclusions of systematic reviews are robust to possible non-random selection mechanisms.
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In most cases these biases did not affect the conclusions. In four cases, statistical inferences regarding the effect of the intervention were changed after the overall estimate for publication bias was adjusted for.Ĭonclusions: Publication or related biases were common within the sample of meta-analyses assessed. The corresponding figures with a random effects model were 23 (48%) and eight. Results: The trim and fill fixed effects analysis method estimated that 26 (54%) of reviews had missing studies and in 10 the number missing was significant. Main outcome measures: Number of reviews with missing studies and effect on conclusions of meta-analyses. Studies: 48 reviews in Cochrane Database of Systematic Reviews that considered a binary endpoint and contained 10 or more individual studies. Objective: To assess the effect of publication bias on the results and conclusions of systematic reviews and meta-analyses.ĭesign: Analysis of published meta-analyses by trim and fill method.