ArticleNeurology2025
Effectiveness of Disease-Modifying Therapies in Patients With Late-Onset Relapsing-Remitting Multiple Sclerosis.
Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Managing Relapsing Multiple Sclerosis Across the Lifespan: A Narrative Review with Expert Opinion from Norway.Neurology and therapy · 2026Review
- The role of age in choosing high-efficacy treatment for multiple sclerosis: an Austrian MS Database study.Journal of neurology · 2026Article
- Multiple Sclerosis in Women: Impact of Different Life Stages on Treatment Decisions.CNS drugs · 2026Review
- Adult-onset and late-onset multiple sclerosis in older adults in a Finnish university hospital.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Comparative effectiveness of anti-CD20 therapies and S1P receptor modulators in late-onset multiple sclerosis: real-world evidence from the MSBase registry.Therapeutic advances in neurological disorders · 2026Article
- Clinical, functional and cognitive features of late-onset multiple sclerosis.Journal of neurology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesThe benefit of disease-modifying therapies (DMTs) in relapsing-remitting multiple sclerosis (RRMS) is believed to decrease with age. We aimed to compare disease outcomes with DMTs between patients with late-onset RRMS (LO-RRMS) and adult-onset RRMS (AO-RRMS).
methodsThis was a single-center, longitudinal, prospective analysis of patients who fulfilled the following criteria: (1) a diagnosis of RRMS and (2) initiation of a new DMT (dimethyl fumarate, fingolimod, glatiramer acetate, natalizumab, and ocrelizumab) within 3 months. Patients were followed up at years 1 and 2. We compared treatment outcomes (relapses, radiologic activity, disability progression, and no evidence of disease activity [NEDA]) between LO-RRMS (defined as age at onset of first symptom >45 years) and AO-RRMS (≥18 years and 45 years) using Poisson, logistic, and Cox regression models while adjusting for baseline variables. The analyses were repeated with an age cutoff of 50 years.
resultsWe studied 1,494 patients with AO-RRMS (mean age at onset: 29.6 years, 71% female) and 150 patients with LO-RRMS (50.2 years, 73% female) at treatment initiation. At DMT commencement, patients with LO-RRMS had shorter disease duration, higher Expanded Disability Status Scale (EDSS), more comorbidities, and were more likely to be treatment naive than patients with AO-RRMS. However, when adjusted, there were no differences in the probability of relapses (Coeff = -0.07; 95% CI -0.19 to 0.04, DISCUSSION: Treatment outcomes over 2 years were similar between LO-RRMS and AO-RRMS. This indicates that care should be taken not to bias treatment decisions due to older age at onset of MS when patients demonstrate evidence of inflammatory activity. Limitations are the observational design, the single-center setting, and a relatively small LO-RRMS group. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that patients with LO-RRMS have comparable outcomes with DMTs as patients with AO-RRMS over a 2-year period; this rating is because of baseline imbalances between treatment groups and a nonmasked outcome assessment.
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