Comparative efficacy of therapies for relapsing multiple sclerosis: a systematic review and network meta-analysis

J Comp Eff Res. 2023 Jul;12(7):e230016. doi: 10.57264/cer-2023-0016. Epub 2023 Jun 2.

Abstract

Aim: To assess the relative efficacy of disease-modifying therapies (DMTs) for relapsing multiple sclerosis (RMS) including newer therapies (ozanimod, ponesimod, ublituximab) using network meta-analysis (NMA). Materials & methods: Bayesian NMAs for annualised relapse rate (ARR) and time to 3-month and 6-month confirmed disability progression (3mCDP and 6mCDP) were conducted. Results: For each outcome, the three most efficacious treatments versus placebo were monoclonal antibody (mAb) therapies: alemtuzumab, ofatumumab, and ublituximab for ARR; alemtuzumab, ocrelizumab, and ofatumumab for 3mCDP; and alemtuzumab, natalizumab, and either ocrelizumab or ofatumumab (depending on the CDP definition used for included ofatumumab trials) for 6mCDP. Conclusion: The most efficacious DMTs for RMS were mAb therapies. Of the newer therapies, only ublituximab ranked among the three most efficacious treatments (for ARR).

Keywords: disease-modifying therapy; indirect treatment comparison; network meta-analysis; relapsing multiple sclerosis; systematic literature review.

Publication types

  • Meta-Analysis
  • Systematic Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alemtuzumab / therapeutic use
  • Bayes Theorem
  • Humans
  • Multiple Sclerosis*
  • Multiple Sclerosis, Relapsing-Remitting* / drug therapy
  • Network Meta-Analysis
  • Recurrence

Substances

  • Alemtuzumab