Individual participant data meta‐analysis of intervention studies with time‐to‐event outcomes: A review of the methodology and an applied example. (6th February 2020)
- Record Type:
- Journal Article
- Title:
- Individual participant data meta‐analysis of intervention studies with time‐to‐event outcomes: A review of the methodology and an applied example. (6th February 2020)
- Main Title:
- Individual participant data meta‐analysis of intervention studies with time‐to‐event outcomes: A review of the methodology and an applied example
- Authors:
- de Jong, Valentijn M.T.
Moons, Karel G.M.
Riley, Richard D.
Tudur Smith, Catrin
Marson, Anthony G.
Eijkemans, Marinus J.C.
Debray, Thomas P.A. - Abstract:
- Abstract : 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 ofAbstract : 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. … (more)
- Is Part Of:
- Research synthesis methods. Volume 11:Number 2(2020)
- Journal:
- Research synthesis methods
- Issue:
- Volume 11:Number 2(2020)
- Issue Display:
- Volume 11, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 11
- Issue:
- 2
- Issue Sort Value:
- 2020-0011-0002-0000
- Page Start:
- 148
- Page End:
- 168
- Publication Date:
- 2020-02-06
- Subjects:
- heterogeneity -- individual participant data -- intervention -- meta‐analysis -- time‐to‐event
Research -- Methodology -- Periodicals
Research -- Statistical methods -- Periodicals
507.2 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1759-2887 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jrsm.1384 ↗
- Languages:
- English
- ISSNs:
- 1759-2879
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7773.705700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13307.xml