The value of the aggregate data approach in meta-analysis with time-to-event outcomes
The value of the aggregate data approach in meta-analysis with time-to-event outcomes
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DOI：
10.1111/1467-985x.00207
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发表时间：
2001-01-01
影响因子：
2
通讯作者：
Best, LY
中科院分区：
文献类型：
--
作者：
Tudur, C;Williamson, PR;Best, LY
收集个体患者数据被描述为进行荟萃分析的“黄金标准”。如果研究涉及事件发生时间的结果，那么基于汇总数据进行荟萃分析可能会出现问题。使用事件发生时间结果的随机对照试验的两项荟萃分析来说明几种拟议方法的实用性和价值，以获得汇总统计估计。在第一个例子中，结果表明应进一步努力寻找未发表的试验。在第二个例子中，在没有提供个体患者数据的试验中使用汇总数据可以评估总体证据，并表明以前未识别的异质性。
Collecting individual patient data has been described as the 'gold standard' for undertaking meta-analysis. If studies involve time-to-event outcomes, conducting a meta-analysis based on aggregate data can be problematical. Two meta-analyses of randomized controlled trials with time-to-event outcomes are used to illustrate the practicality and value of several proposed methods to obtain summary statistic estimates. In the first example the results suggest that further effort should be made to find unpublished trials. In the second example the use of aggregate data for trials where no individual patient data have been supplied allows the totality of evidence to be assessed and indicates previously unrecognized heterogeneity.