Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part II. Statistical Methods of Meta-Analysis.
Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part II. Statistical Methods of Meta-Analysis.
复制标题
DOI：
10.3348/kjr.2015.16.6.1188
复制
发表时间：
2015-11
影响因子：
4.8
通讯作者：
Park SH
中科院分区：
文献类型：
--
作者：
Lee J;Kim KW;Choi SH;Huh J;Park SH
诊断测试准确性研究的荟萃分析不同于治疗/干预研究的通常荟萃分析，因为它需要同时分析一对两个结果指标，例如敏感性和特异性，而不是单个结果。由于敏感性和特异性通常呈负相关，并且可能受到阈值效应的影响，因此需要更复杂的统计方法来对诊断测试准确性进行荟萃分析。包括双变量模型和分层汇总接受者操作特征模型在内的分层模型越来越多地被接受作为诊断测试准确性研究荟萃分析的标准方法。我们对目前使用和推荐用于诊断测试准确性研究荟萃分析的统计方法进行了概念性回顾。本文可以为那些对诊断测试准确性研究进行系统评价和荟萃分析的人提供方法学参考。
Meta-analysis of diagnostic test accuracy studies differs from the usual meta-analysis of therapeutic/interventional studies in that, it is required to simultaneously analyze a pair of two outcome measures such as sensitivity and specificity, instead of a single outcome. Since sensitivity and specificity are generally inversely correlated and could be affected by a threshold effect, more sophisticated statistical methods are required for the meta-analysis of diagnostic test accuracy. Hierarchical models including the bivariate model and the hierarchical summary receiver operating characteristic model are increasingly being accepted as standard methods for meta-analysis of diagnostic test accuracy studies. We provide a conceptual review of statistical methods currently used and recommended for meta-analysis of diagnostic test accuracy studies. This article could serve as a methodological reference for those who perform systematic review and meta-analysis of diagnostic test accuracy studies.