Sensitivity analysis for publication bias in meta-analysis of diagnostic studies for a continuous biomarker
Sensitivity analysis for publication bias in meta-analysis of diagnostic studies for a continuous biomarker
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DOI：
10.1002/sim.7510
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发表时间：
2018-02-10
影响因子：
2
通讯作者：
Zhou, Xiao-Hua
中科院分区：
文献类型：
--
作者：
Hattori, Satoshi;Zhou, Xiao-Hua
发表偏倚是Meta分析中最重要的问题之一。对于检查干预效果的标准荟萃分析，漏斗图和修剪填充法是简单且广泛使用的技术，分别用于评估和调整发表偏倚的影响。然而，它们的使用可能是主观的，然后可能产生误导性的见解。为了对发表偏倚做出更客观的推断，已经提出了各种敏感性分析方法，包括Copas选择模型。对于评价连续生物标志物的诊断研究的荟萃分析，在存在异质性截止值的情况下，汇总受试者工作特征（sROC）曲线是一种非常有用的方法。据我们所知，没有方法可用于评估发表偏倚对sROC曲线估计的影响。本文介绍了诊断性研究Meta分析的Copas型选择模型，并提出了发表偏倚的敏感性分析方法。我们的方法使我们能够评估发表偏倚对sROC曲线估计的影响，然后判断荟萃分析的结果是否足够可信或应谨慎解释。我们用真实的数据说明了我们提出的方法。
Publication bias is one of the most important issues in meta-analysis. For standard meta-analyses to examine intervention effects, the funnel plot and the trim-and-fill method are simple and widely used techniques for assessing and adjusting for the influence of publication bias, respectively. However, their use may be subjective and can then produce misleading insights. To make a more objective inference for publication bias, various sensitivity analysis methods have been proposed, including the Copas selection model. For meta-analysis of diagnostic studies evaluating a continuous biomarker, the summary receiver operating characteristic (sROC) curve is a very useful method in the presence of heterogeneous cutoff values. To our best knowledge, no methods are available for evaluation of influence of publication bias on estimation of the sROC curve. In this paper, we introduce a Copas-type selection model for meta-analysis of diagnostic studies and propose a sensitivity analysis method for publication bias. Our method enables us to assess the influence of publication bias on the estimation of the sROC curve and then judge whether the result of the meta-analysis is sufficiently confident or should be interpreted with much caution. We illustrate our proposed method with real data.