Individual patient data meta-analysis of randomized anti-epileptic drug monotherapy trials

J Eval Clin Pract. 2000 May;6(2):205-14. doi: 10.1046/j.1365-2753.2000.00236.x.

Abstract

Meta-analysis may be based on either aggregate data or individual patient data (IPD). Three reasons why IPD are desirable for the meta-analysis of anti-epileptic drug (AED) monotherapy trials are: (1) to undertake a more complete analysis of time-to-event outcomes; (2) to investigate the interaction between AED and type of epilepsy; and (3) to undertake re-analysis of the trial to obtain results for all relevant outcomes. We demonstrate that IPD meta-analysis is possible in AED research. Problems arose from missing data at four levels: (1) unknown trials; (2) known trials but no IPD supplied; (3) known trials but missing outcome data for some individuals within trials; and (4) known trials but missing covariate data for some individuals within trials. Empirical evidence of the reliability of meta-analyses based on aggregate rather than individual patient data is still lacking. Examples of other benefits such projects may bring include improvements to the design of a new trial in the area, in terms of the sample size considerations, the definition of outcomes and data collection.

MeSH terms

  • Anticonvulsants / therapeutic use*
  • Epilepsy / drug therapy
  • Humans
  • Meta-Analysis as Topic*
  • Randomized Controlled Trials as Topic*
  • Reproducibility of Results

Substances

  • Anticonvulsants