Evidence map›Paper›PMID 41638890›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2026

Brain atrophy rates vary with age in relapsing-remitting multiple sclerosis.

Sezgi Kaçar, David R van Nederpelt, Julia R Jelgerhuis, Eline M E Coerver, Joep Killestein, Maria Pia Sormani, Olga Ciccarelli, Douglas L Arnold, Zoé L E van Kempen, B M J Uitdehaag and 5 more

Abstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Sezgi KaçarMS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands s.kacar@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-6695-2667
David R van NederpeltMS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.
Julia R JelgerhuisMS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Eline M E CoerverMS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5673-9996
Joep KillesteinMS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Maria Pia SormaniDepartment of Health Sciences (DISSAL), University of Genova, Genova, Italy.ORCID http://orcid.org/0000-0001-6892-104X
Olga CiccarelliQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.ORCID http://orcid.org/0000-0001-7485-1367
Douglas L ArnoldNeuroRx Research and Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-4266-0106
Zoé L E van KempenMS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-9557-5381
B M J UitdehaagMS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Frederik BarkhofMS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-3543-3706
Marcus W KochDepartment of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.ORCID http://orcid.org/0000-0001-9972-5092
Menno M SchoonheimMS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-2504-6959
Arman EshaghiQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Eva M M StrijbisMS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-6705-5864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain atrophy is increasingly used as an outcome measure in clinical trials in relapsing-remitting multiple sclerosis (RRMS), but little is known about how chronological age interacts with MS-specific effects. For instance, while annual brain atrophy rates typically increase with age in healthy individuals, MS patients tend to exhibit decreasing atrophy rates over time.

methodsWe investigated the relationship between age and brain volume in a large dataset of 4241 trial participants with RRMS. We used pooled individual-participant data from phase 3 clinical trials with 96 weeks follow-up, which included both active treatment and placebo/comparator arms. Participants were categorised into seven groups based on chronological age (18-24 years, 25-30 years, 31-35 years, 36-40 years, 41-45 years, 46-50 years, 51-56 years). We performed multilevel linear mixed-effects regression analyses to examine differences between age groups in normalised whole brain volume (NWBV), thalamus grey matter volume (NThGMV), grey matter volume (NGMV) and white matter volume at baseline and their changes over follow-up. We also studied how disease duration influenced these relationships using similar models.

resultsOlder participants showed significantly lower NWBV, NGMV and NThGMV at baseline than younger participants. Most importantly, older participants exhibited lower rates of atrophy during follow-up, particularly in the thalamus. This association was consistent across all disease duration subgroups.

conclusionsOlder participants had more severe atrophy when enrolled into trials, but slower (thalamic) atrophy rates, independent of disease duration over time. Together, these findings emphasise that age should be taken into account when designing clinical trials that use brain atrophy as an outcome measure.

Indexed as

AgingBrainMultiple Sclerosis, Relapsing-RemittingThalamusAdolescentAdultAge FactorsAtrophyFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedWhite MatterYoung AdultMULTIPLE SCLEROSIS

Identifiers

PMID41638890
PMCPMC13288955

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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.