Literature DB >> 33878488

Disease modifying therapies in relapsing-remitting multiple sclerosis: A systematic review and network meta-analysis.

Zhuoyi Liu1, Qiao Liao2, Haicheng Wen3, Yihao Zhang4.   

Abstract

OBJECTIVE: To compare the efficacy and compliance of up-to-date disease modifying therapies (DMTs) in patients with remitting-relapsing MS (RRMS).
METHODS: We searched PubMed, EMBASE and Cochrane Library for eligible studies. Annualized relapse rate, discontinuation due to adverse events (AEs) were assessed as primary outcomes. Sensitivity analysis and inconsistency detection were performed to evaluated whether exclusion of high-risk studies affected the validity. Risk of bias was assessed using Cochrane's Risk-of-Bias Tool 2. Surface under the cumulative ranking curve (SUCRA) was used to estimate the rankings among different DMTs.
RESULTS: 21 studies were included for main report. Seven studies were evaluated as "high risk" and were therefore excluded. Exclusion of high-risk studies did not affect the validity of evidence. The risk of relapses for most DMTs except Betaseron 50 μg was significantly lower comparing to placebo. Incompliance in patients treated with DMTs was not significantly increased comparing to placebo. Dimethyl fumarate and ocrelizumab had superiority in improving MRI outcomes. Ocrelizumab and ofatumumab had the largest reduction of risk in disability progression at 3 months. Referring to SUCRA, ofatumumab, alemtuzumab and natalizumab showed the best efficacy and compliance.
CONCLUSION: The present study demonstrated the hierarchy of DMTs treating RRMS. Ofatumumab, alemtuzumab and natalizumab have superiority with respect to effectiveness and compliance. More studies are required to explore the long-term effect of DMTs. Our findings could provide helpful information and contribute to clinical treatment decision-making.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Disease modifying therapy; Network meta-analysis; Relapsing-remitting multiple sclerosis

Year:  2021        PMID: 33878488     DOI: 10.1016/j.autrev.2021.102826

Source DB:  PubMed          Journal:  Autoimmun Rev        ISSN: 1568-9972            Impact factor:   9.754


  7 in total

1.  Comparative safety of high-efficacy disease-modifying therapies in relapsing-remitting multiple sclerosis: a systematic review and network meta-analysis.

Authors:  Katarzyna Śladowska; Paweł Kawalec; Przemysław Holko; Oktawia Osiecka
Journal:  Neurol Sci       Date:  2022-06-17       Impact factor: 3.830

2.  Objectively assessed physiological, physical, and cognitive function along with patient-reported outcomes during the first 2 years of Alemtuzumab treatment in multiple sclerosis: a prospective observational study.

Authors:  Lars G Hvid; Egon Stenager; Ulrik Dalgas
Journal:  J Neurol       Date:  2022-04-28       Impact factor: 6.682

Review 3.  Factors affecting adherence to disease-modifying therapies in multiple sclerosis: systematic review.

Authors:  Francesca Washington; Dawn Langdon
Journal:  J Neurol       Date:  2021-10-21       Impact factor: 4.849

Review 4.  Nonresolving inflammation redux.

Authors:  Carl Nathan
Journal:  Immunity       Date:  2022-04-12       Impact factor: 43.474

5.  Cost-utility analysis of teriflunomide in naïve vs. previously treated patients with relapsing-remitting multiple sclerosis in Italy.

Authors:  Carlo Lazzaro; Roberto Bergamaschi; Mauro Zaffaroni; Rocco Totaro; Damiano Paolicelli
Journal:  Neurol Sci       Date:  2022-04-14       Impact factor: 3.830

6.  Demographic Patterns of MS Patients Using BRISA: An MS-Specific App in Germany.

Authors:  Preetha Balakrishnan; Jannis Groenberg; Elizabeth Jacyshyn-Owen; Markus Eberl; Benjamin Friedrich; Natalie Joschko; Tjalf Ziemssen
Journal:  J Pers Med       Date:  2022-07-01

7.  Impact of disease-modifying therapies on MRI and neurocognitive outcomes in relapsing-remitting multiple sclerosis: a protocol for a systematic review and network meta-analysis.

Authors:  Samuel Lees; Mathew Dicker; Jie En Ku; Varun Chaganti; Matthew Mew-Sum; Nick Wang; Angela Smith; Christopher Oldmeadow; Wooi Lynn Goon; Marc Bevan; Danielle Lang; Madeleine Hinwood
Journal:  BMJ Open       Date:  2021-11-02       Impact factor: 2.692

  7 in total

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