Assessing publication bias in meta-analyses in the presence of between-study heterogeneity
Assessing publication bias in meta-analyses in the presence of between-study heterogeneity
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DOI：
10.1111/j.1467-985x.2009.00629.x
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发表时间：
2010-01-01
影响因子：
2
通讯作者：
Moreno, Santiago G.
中科院分区：
文献类型：
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作者：
Peters, Jaime L.;Sutton, Alex J.;Moreno, Santiago G.
研究间异质性和发表偏倚是荟萃分析的常见特征，可能同时存在。当两者都被怀疑时，在评估另一个时必须考虑到每一个。我们考虑了扩展漏斗图检验来检测发表偏倚，以及选择建模和修剪填充方法来调整研究间异质性存在时的发表偏倚。这些方法被应用到两个示例数据集。结果表明，在评估发表偏倚时忽略研究间异质性可能会产生误导，但当荟萃分析规模不大时，在存在异质性的情况下检验或调整发表偏倚的方法可能并不强大。因此，除了最大的荟萃分析之外，期望在所有的荟萃分析中可靠地解开发表偏倚和异质性的影响是不现实的。
Between-study heterogeneity and publication bias are common features of a meta-analysis that can be present simultaneously. When both are suspected, consideration must be made of each in the assessment of the other. We consider extended funnel plot tests for detecting publication bias, and selection modelling and trim-and-fill methods to adjust for publication bias in the presence of between-study heterogeneity. These methods are applied to two example data sets. Results indicate that ignoring between-study heterogeneity when assessing publication bias can be misleading, but that methods to test or adjust for publication bias in the presence of heterogeneity may not be powerful when the meta-analysis is not large. It is therefore unrealistic to expect to disentangle the effects of publication bias and heterogeneity reliably in all except the largest meta-analyses.