Statistical analysis of individual participant data meta-analyses: a comparison of methods and recommendations for practice.
BACKGROUND
Individual participant data (IPD) meta-analyses that obtain "raw" data from studies rather than summary data typically adopt a "two-stage" approach to analysis whereby IPD within trials generate summary measures, which are combined using standard meta-analytical methods. Recently, a range of "one-stage" approaches which combine all individual participant data in a single meta-analysis have been suggested as providing a more powerful and flexible approach. However, they are more complex to implement and require statistical support. This study uses a dataset to compare "two-stage" and "one-stage" models of varying complexity, to ascertain whether results obtained from the approaches differ in a clinically meaningful way.


RESULTS
We included data from 24 randomised controlled trials, evaluating antiplatelet agents, for the prevention of pre-eclampsia in pregnancy. We performed two-stage and one-stage IPD meta-analyses to estimate overall treatment effect and to explore potential treatment interactions whereby particular types of women and their babies might benefit differentially from receiving antiplatelets. Two-stage and one-stage approaches gave similar results, showing a benefit of using anti-platelets (Relative risk 0.90, 95% CI 0.84 to 0.97). Neither approach suggested that any particular type of women benefited more or less from antiplatelets. There were no material differences in results between different types of one-stage model.


CONCLUSIONS
For these data, two-stage and one-stage approaches to analysis produce similar results. Although one-stage models offer a flexible environment for exploring model structure and are useful where across study patterns relating to types of participant, intervention and outcome mask similar relationships within trials, the additional insights provided by their usage may not outweigh the costs of statistical support for routine application in syntheses of randomised controlled trials. Researchers considering undertaking an IPD meta-analysis should not necessarily be deterred by a perceived need for sophisticated statistical methods when combining information from large randomised trials.
Centre for Reviews and Dissemination, University of York, York, United Kingdom. gavin.stewart@york.ac.uk
Gavin B
GB
Stewart
Douglas G
DG
Altman
Lisa M
LM
Askie
Lelia
L
Duley
Mark C
MC
Simmonds
Lesley A
LA
Stewart
D000328:Adult; D005260:Female; D006801:Humans; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D015999:Multivariate Analysis; D017063:Outcome Assessment, Health Care / Q000379:methods / Q000706:statistics & numerical data; D010975:Platelet Aggregation Inhibitors / Q000627:therapeutic use*; D011225:Pre-Eclampsia / Q000517:prevention & control*; D011247:Pregnancy; D016032:Randomized Controlled Trials as Topic; D015203:Reproducibility of Results; D012307:Risk Factors; D055815:Young Adult
D010975:Platelet Aggregation Inhibitors