Why the study?
Existing mixed-treatment comparisons in multiple sclerosis had methodological and reporting limitations, making interpretation difficult while the field continued to evolve.
Do disease-modifying therapies reduce relapse rate and disability progression in adults with relapsing-remitting multiple sclerosis compared with placebo?
Do disease-modifying therapies reduce relapse rate and disability progression in adults with relapsing-remitting multiple sclerosis compared with placebo?
This network meta-analysis confirms the benefit of all approved disease-modifying therapies in reducing relapse rates compared with placebo in relapsing-remitting multiple sclerosis, with alemtuzumab showing the highest probability of efficacy.
Supports alemtuzumab or natalizumab prioritization for ARR reduction in RRMS; confirms DMT class benefit while ranking options for practice and trials.
BACKGROUND: Since 2010, 27 mixed-treatment comparisons (MTCs) of disease-modifying therapies (DMTs) for multiple sclerosis have been published. However, there has been continued evolution in the field of MTCs. Additionally, limitations in methodological approach and reporting transparency, even in the most recent publications, makes interpretation and comparison of existing studies difficult. OBJECTIVES: The objectives of this study are twofold: (1) to estimate the efficacy and safety of DMTs at European Commission-approved doses compared with placebo in adults with relapsing-remitting multiple sclerosis (RRMS) using MTC, and (2) to identify and address methodological challenges when performing MTC in RRMS, thereby creating a baseline for comparisons with future treatments. METHODS: Searches were completed in 14 databases, including MEDLINE, Embase, CENTRAL, CDSR and DARE, from inception to June 2018 to identify published or unpublished prospective, randomised controlled trials of all European Union-approved DMTs or DMTs expected to be approved in the near future in RRMS or rapidly-evolving severe RRMS. No language or date restrictions were applied. Studies were included in the MTC if they were judged to have sufficiently similar characteristics, based on the following: patient age; proportion of male participants; Expanded Disability Status Scale (EDSS) score; duration of disease; number of relapses prior to enrolment and proportion of previously treated patients. Background information from the included studies, as well as effect size and confidence intervals (where relevant) of defined outcomes were extracted. Reporting of the MTC was consistent with the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) network meta-analysis guidelines. RESULTS: In total, 33 studies were included in the MTC. Annualised relapse rate (ARR 28 trials) was significantly reduced in all treatments compared with placebo. Alemtuzumab had the highest probability (63%) of being the most effective treatment in terms of ARR compared with placebo (rate ratio [RR] 0.28, 95% credible interval [CrI] 0.21-0.38), followed by natalizumab (30% probability; RR 0.32, 95% CrI 0.23-0.43). The risk of 3- and 6-month confirmed disability progression (CDP3M, 13 trials; CDP6M, 14 trials) were similar; CDP6M was significantly reduced for alemtuzumab (hazard ratio [HR] 0.365; 95% CrI 0.165-0.725), ocrelizumab (HR 0.405, 95% CrI 0.188-0.853) and natalizumab (HR 0.459, 95% CrI 0.252-0.840) relative to placebo. There were no significant differences in the odds of serious adverse events (SAEs, 6 trials) between any treatment and placebo. The results of the MTC were limited by the lack of studies reporting direct comparisons between the included treatments and by heterogeneous reporting of key outcome data. CONCLUSIONS: Meta-analyses confirmed the benefit of all DMTs in terms of relapse rate compared with placebo with a comparable rate of SAEs for the DMTs that could be included in the network. The rigor and transparency of reporting in this study provide a benchmark for comparisons with future new agents.
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Giovannoni et al. (2020) studied this question.
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