Outcome of beta-interferon treatment in relapsing-remitting multiple sclerosis: A Bayesian analysis

K. O'Rourke, C. Walsh, M. Hutchinson

Research output: Contribution to journalArticlepeer-review

Abstract

Observational studies of the effect of beta-interferon (IFNβ) on accumulation of fixed disability in relapsing remitting multiple sclerosis (RRMS) in clinical practice have been difficult to interpret due to bias. The aim of this study of 175 RRMS patients was to use Bayesian analysis to establish whether IFNβ attenuates disability relative to a cohort of matched historical control subjects from the Sylvia Lawry Centre for MS Research. A sensitivity analysis was based on a range of prior probability distributions for IFNβ efficacy derived from a published meta-analysis of randomised controlled trials (RCTs) of IFNβ, and the data were interpreted both unmodified and using variance inflation and point estimate bias correction; the corrected data interpreted in the light of the most likely prior probability distribution yielded a 95 % posterior credible interval for the odds ratio of accumulation of fixed disability after two years of IFNβ therapy of 0.52, 0.94. It is concluded that two years of IFNβ therapy for RRMS reduces accumulation of fixed disability in clinical practice.

Original languageEnglish
Pages (from-to)1547-1554
Number of pages8
JournalJournal of Neurology
Volume254
Issue number11
DOIs
Publication statusPublished - Nov 2007
Externally publishedYes

Keywords

  • Bayesian analysis
  • Beta-interferon
  • Fixed disability
  • Historical control
  • Multiple sclerosis
  • Odds ratio

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