Empirical assessment of effect of publication bias on meta-analyses

对发表偏倚对荟萃分析影响的实证评估

阅读:1

Abstract

OBJECTIVE: To assess the effect of publication bias on the results and conclusions of systematic reviews and meta-analyses. DESIGN: Analysis of published meta-analyses by trim and fill method. STUDIES: 48 reviews in Cochrane Database of Systematic Reviews that considered a binary endpoint and contained 10 or more individual studies. MAIN OUTCOME MEASURES: Number of reviews with missing studies and effect on conclusions of meta-analyses. 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. The corresponding figures with a random effects model were 23 (48%) and eight. In four cases, statistical inferences regarding the effect of the intervention were changed after the overall estimate for publication bias was adjusted for. CONCLUSIONS: Publication or related biases were common within the sample of meta-analyses assessed. In most cases these biases did not affect the conclusions. Nevertheless, researchers should check routinely whether conclusions of systematic reviews are robust to possible non-random selection mechanisms.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。