Evidence map›Paper›PMID 41858174›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2026

Diminishing returns of disease-modifying treatment in older participants of multiple sclerosis clinical trials.

Eva Strijbis, Jop Mostert, Miguel D'Haeseleer, Ester Moral, Luis Brieva Ruiz, Jacynthe Comtois, Joep Killestein, Pavle Repovic, Tarrant McPherson, Gary Cutter and 1 more

Abstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Eva StrijbisAmsterdam UMC, Amsterdam, The Netherlands.ORCID 0000-0001-6705-5864
Jop MostertDepartment of Neurology, Rijnstate Hospital, Arnhem, The Netherlands.
Miguel D'HaeseleerUniversitair Ziekenhuis Brussel, Brussels, Belgium; National Multiple Sclerosis Center, Melsbroek, Belgium.ORCID 0000-0003-4378-0089
Ester MoralNeurology, Hospital Universitario de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.
Luis Brieva RuizNeuroimmunology Group, Department of Neurology, Hospital Universitari Arnau de Vilanova, Lleida, Spain.
Jacynthe ComtoisUniversité de Montreal, Montreal, QC, Canada.ORCID 0000-0002-7748-6104
Joep KillesteinAmsterdam UMC, Amsterdam, The Netherlands.ORCID 0000-0002-6347-5957
Pavle RepovicSwedish Neuroscience Institute Multiple Sclerosis Center, Seattle, WA, USA.ORCID 0000-0001-7358-6872
Tarrant McPhersonBiostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.ORCID 0000-0003-3579-5205
Gary CutterDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0002-8455-980X
Marcus KochClinical Neurosciences, University of Calgary, Calgary, AB, Canada.ORCID 0000-0001-9972-5092

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesIt remains uncertain whether the relative benefit of disease-modifying treatments (DMTs) diminish as patients age because of a natural decline of inflammatory disease activity. To better capture the balance of benefit and harm, the statistical concept of the

methodsWe examined the relationship between treatment efficacy and age by applying the NNT concept to three pivotal randomized clinical trials of high-efficacy DMTs: AFFIRM, SENTINEL, and DECIDE (3,954 participants together). NNTs were calculated to determine how many individuals within each age group would need to be treated to prevent one additional inflammatory event (by different definitions of significant inflammation).

resultsInflammatory disease activity decreased with advancing age, resulting in progressively higher NNTs in older participants. For instance, in the SENTINEL trial, the NNT to prevent one additional new/enlarging T2 lesion annually was one for the youngest patients (⩽30 years) compared with 10 for the oldest (>50 years). Similarly, in AFFIRM, the NNT to prevent one relapse was two in the youngest group (⩽30 years) versus four in the oldest (41-50 years). DISCUSSION: NNTs provide a framework for contextualizing treatment efficacy against potential harms, supporting more individualized therapeutic decision-making.

Indexed as

Immunologic FactorsMultiple SclerosisNumbers Needed To TreatRandomized Controlled Trials as TopicAdultAgedAge FactorsFemaleHumansMaleMiddle AgedTreatment OutcomeImmunologic FactorsDisease modifying therapiesoutcome measurement

Identifiers

PMID41858174
PMCPMC13036261

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.