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Meta分析中结果选择偏倚的识别与影响

Identification and impact of outcome selection bias in meta-analysis.

作者信息

Williamson P R, Gamble C

机构信息

Centre for Medical Statistics and Health Evaluation, University of Liverpool, Merseyside L69 3GS, UK.

出版信息

Stat Med. 2005 May 30;24(10):1547-61. doi: 10.1002/sim.2025.

Abstract

The systematic review community has become increasingly aware of the importance of addressing the issues of heterogeneity and publication bias in meta-analyses. A potentially bigger threat to the validity of a meta-analysis appears relatively unnoticed. The within-study selective reporting of outcomes, defined as the selection of a subset of the original variables recorded for inclusion in publication of trials, can theoretically have a substantial impact on the results. A cohort of meta-analyses on the Cochrane Library was reviewed to examine how often this form of within-study publication bias was suspected and explained some of the evident funnel plot asymmetry. In cases where the level of suspicion was high, sensitivity analysis was undertaken to assess the robustness of the conclusion to this bias. Although within-study selection was evident or suspected in several trials, the impact on the conclusions of the meta-analyses was minimal. This paper deals with the identification of, sensitivity analysis for, and impact of within-study selective reporting in meta-analysis.

摘要

系统评价领域越来越意识到在荟萃分析中解决异质性和发表偏倚问题的重要性。对荟萃分析有效性的一个潜在更大威胁似乎相对未被注意到。研究内结果的选择性报告,定义为选择原始记录变量的一个子集以纳入试验发表内容,理论上可能对结果产生重大影响。对Cochrane图书馆上的一组荟萃分析进行了审查,以研究这种研究内发表偏倚形式被怀疑的频率,并解释一些明显的漏斗图不对称现象。在怀疑程度较高的情况下,进行敏感性分析以评估结论对这种偏倚的稳健性。尽管在一些试验中研究内选择是明显的或被怀疑的,但对荟萃分析结论的影响很小。本文探讨了荟萃分析中研究内选择性报告的识别、敏感性分析及其影响。

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