当前位置: X-MOL 学术Res. Synth. Methods › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example.
Research Synthesis Methods ( IF 5.0 ) Pub Date : 2020-02-06 , DOI: 10.1002/jrsm.1384
Valentijn M T de Jong 1 , Karel G M Moons 1, 2 , Richard D Riley 3 , Catrin Tudur Smith 4 , Anthony G Marson 5 , Marinus J C Eijkemans 1 , Thomas P A Debray 1, 2
Affiliation  

Many randomized trials evaluate an intervention effect on time‐to‐event outcomes. Individual participant data (IPD) from such trials can be obtained and combined in a so‐called IPD meta‐analysis (IPD‐MA), to summarize the overall intervention effect. We performed a narrative literature review to provide an overview of methods for conducting an IPD‐MA of randomized intervention studies with a time‐to‐event outcome. We focused on identifying good methodological practice for modeling frailty of trial participants across trials, modeling heterogeneity of intervention effects, choosing appropriate association measures, dealing with (trial differences in) censoring and follow‐up times, and addressing time‐varying intervention effects and effect modification (interactions).We discuss how to achieve this using parametric and semi‐parametric methods, and describe how to implement these in a one‐stage or two‐stage IPD‐MA framework. We recommend exploring heterogeneity of the effect(s) through interaction and non‐linear effects. Random effects should be applied to account for residual heterogeneity of the intervention effect. We provide further recommendations, many of which specific to IPD‐MA of time‐to‐event data from randomized trials examining an intervention effect.We illustrate several key methods in a real IPD‐MA, where IPD of 1225 participants from 5 randomized clinical trials were combined to compare the effects of Carbamazepine and Valproate on the incidence of epileptic seizures.

中文翻译:

具有事件发生时间结局的干预研究的个体参与者数据荟萃分析:方法学综述和应用实例。

许多随机试验评估了干预对事件发生时间结局的影响。可以从此类试验中获得单个参与者数据(IPD),并将其合并到所谓的IPD荟萃分析(IPD-MA)中,以总结总体干预效果。我们进行了叙述性文献综述,以概述进行具有事件发生时间结果的随机干预研究的IPD-MA的方法。我们专注于确定良好的方法学实践,以建模跨试验的试验参与者的身体虚弱,建模干预效果的异质性,选择适当的关联度量,处理审查和随访时间的(试验差异)以及解决随时间变化的干预效果和效果修改(交互)。我们讨论了如何使用参数化和半参数化方法来实现这一目标,并描述如何在一阶段或两阶段IPD-MA框架中实施这些措施。我们建议通过交互作用和非线性效应来探索效应的异质性。应该应用随机效应来说明干预效应的残留异质性。我们提供了进一步的建议,其中许多特定于随机试验检查干预效果的事件发生时间的IPD‐MA数据,我们举例说明了实际IPD‐MA中的几种关键方法,其中5个随机临床试验中的1225名参与者的IPD联合比较卡马西平和丙戊酸盐对癫痫发作的影响。应该应用随机效应来说明干预效应的残留异质性。我们提供了进一步的建议,其中许多特定于随机试验检查干预效果的事件发生时间的IPD‐MA数据,我们举例说明了实际IPD‐MA中的几种关键方法,其中5个随机临床试验中的1225名参与者的IPD联合比较卡马西平和丙戊酸盐对癫痫发作的影响。应该应用随机效应来说明干预效应的残留异质性。我们提供了进一步的建议,其中许多特定于随机试验检查干预效果的事件发生时间的IPD‐MA数据,我们举例说明了实际IPD‐MA中的几种关键方法,其中5个随机临床试验中的1225名参与者的IPD联合比较卡马西平和丙戊酸盐对癫痫发作的影响。
更新日期:2020-02-06
down
wechat
bug