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Meta-Analysis
. 2025 Aug:100:106507.
doi: 10.1016/j.msard.2025.106507. Epub 2025 May 10.

Multiple sclerosis relapse incomplete recovery and associated factors - a systematic review and meta-analysis

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Free article
Meta-Analysis

Multiple sclerosis relapse incomplete recovery and associated factors - a systematic review and meta-analysis

Filipa Ladeira et al. Mult Scler Relat Disord. 2025 Aug.
Free article

Abstract

Objectives: We conducted a meta-analysis to assess the frequency of incomplete recovery from multiple sclerosis (MS) relapses and a systematic review to evaluate the influence of six factors on incomplete recovery: relapse severity, age, sex, disease duration, disease-modifying treatment use, and the presence of contrast-enhancing lesions at relapse.

Methods: We searched Scientific databases to identify suitable publications. Our outcome was MS relapse incomplete recovery, defined as a post-relapse EDSS measured at least 6 months after the event higher than the pre-relapse EDSS. We synthesized the rate of incomplete recovery using meta-analysis (random effect model). and summarized the effect estimates (or HR) for demographic and clinical factors.

Results: We included 13 studies (with a total of 19,920 patients and 27672 relapses having at least six month of follow up) . The pooled rate of incomplete recovery was 0.42 (95 % confidence interval 0.31 to 0.54). The subgroup systematic review identified that relapse severity was the most consistent and strongest predictor of incomplete recovery, with odds ratios ranging from 2.4 to 17.2. Other factors were less consistently associated with relapse recovery.

Conclusion: This systematic review indicates that relapse recovery is often incomplete, with relapse severity being the strongest and most consistent predictor of incomplete recovery.

Keywords: Disability; Multiple sclerosis; Relapse associated disability (RAW); Relapse recovery.

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Conflict of interest statement

Declaration of competing interest Filipa Ladeira has received a consultant and speaking fees from Novartis, Roche, Sanofi Genzyme, Biogen Idec and Merck, as well as research support from Biogen, Roche and support for scientific meetings from Novartis, Biogen, Sanofi Genzyme and Teva. Mafalda Soares has received support for scientific meetings from Biogen, Merck, Novartis and Roche and speaker fees from Merck and Novartis. Patrícia Faustino has received support for scientific meetings from Novartis, Biogen Idec, Roche, Merck, Sanofi Genzyme and Bristol Myers Squibb. Miguel Leal Rato has received support for scientific meetings, courses, and speaker fees from Bristol-Myers Squibb, Merck, Novartis, Roche and Sanofi. Inês Gomes has no conflict of interest to declare. André Caetano has no conflict of interest to declare. Ricardo Taipa has no conflict of interest to declare. Maria José Sá has no conflict of interest to declare.

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