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Comparing the Overall Result and Interaction in Aggregate Data Meta-Analysis and Individual Patient Data Meta-Analysis

机译:在汇总数据元分析和单个患者数据元分析中比较总体结果和交互作用

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摘要

The aim of the study was to examine how well aggregate data meta-analyses (ADMAs) and individual patient data meta-analyses (IPDMAs) agree in their overall results and how frequently interactions are detected in IPDMAs and ADMAs.ADMA articles immediately published before the IPDMA and matching the research topic were identified. Agreement in the overall result was achieved if the estimate was in the same direction. The number of subgroup analyses, in particular that of significant interactions, was compared between the 2 types of meta-analyses.A total of 829 IPDMA articles were identified; 129 (15.6%) were found to have a matched ADMA article and 204 paired meta-analyses were identified. Agreement in the overall effect was observed in 187 (91.7%) of the 204 paired meta-analyses. Fifty-three (26.0%) ADMAs and 121 (59.3%) IPDMAs conducted subgroup analyses and presented 150 and 634 subgroup analyses, respectively. The IPDMAs conducted 7 times more subgroup analyses on interaction (544 in IPDMAs vs 68 in ADMAs) and identified 14 times more potential interactions (44 in IPDMAs vs 3 in ADMAs).ADMAs will almost always agree with their corresponding IPDMAs in the overall result if greater efforts are made to improve the methodology in conducting ADMAs. The IPDMA is required mostly if interactions are suspected.
机译:这项研究的目的是检验汇总数据元分析(ADMA)和单个患者数据元分析(IPDMA)在总体结果中的一致性以及在IPDMA和ADMA中检测到相互作用的频率。确定了IPDMA和匹配的研究主题。如果估计数在同一方向上,则在总体结果上达成一致。比较了这两种荟萃分析之间的亚组分析次数,特别是重大相互作用的次数。共鉴定了829条IPDMA文章;发现有129件(15.6%)具有匹配的ADMA文章,并且确定了204对配对的荟萃分析。在204对荟萃分析中,有187种(91.7%)观察到总体效果一致。 53个(26.0%)ADMA和121个(59.3%)IPDMA进行了子组分析,分别提供了150和634个子组分析。 IPDMA进行了7倍多的子组分析(IPDMA中为544对比ADMA中为68),并确定了14倍以上的潜在相互作用(IPDMA中为44对比ADMA中为3)。做出了更大的努力来改进进行ADMA的方法。如果怀疑存在交互,则通常需要IPDMA。

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