Evidence map›Paper›PMID 40734995›Full record

ArticleBMJ neurology open2025

Relationship between brain atrophy and disability in a multi-site multiple sclerosis registry.

Ai-Lan Nguyen, Dana Horakova, Eva H Havrdova, Michael Barnett, Maria Pia Sormani, Nicola De Stefano, Marco Battaglini, Manuela Vaneckova, Elaine Lui, Frank Gaillard and 21 more

Abstract read
In one paragraph

Article in BMJ neurology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

31 authors.

Ai-Lan NguyenNeuroimmunology Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-0378-6005
Dana HorakovaDepartment of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic.
Eva H HavrdovaDepartment of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic.
Michael BarnettBrain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia.
Maria Pia SormaniDepartment of Health Sciences, Biostatistics Unit, University of Genoa, Genoa, Italy.ORCID https://orcid.org/0000-0001-6892-104X
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Marco BattagliniDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Manuela VaneckovaDepartment of Radiology, First Faculty of Medicine, General University Hospital in Prague, Prague, Czech Republic.
Elaine LuiDepartment of Medical Imaging, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Frank GaillardDepartment of Medical Imaging, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Patricia M DesmondDepartment of Medical Imaging, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Hayden PrimeDepartment of Radiology, Box Hill Hospital, Box Hill, Victoria, Australia.
Mineesh DattaDepartment of Radiology, Box Hill Hospital, Box Hill, Victoria, Australia.
Anneke van der WaltDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-4278-7003
Vilija G JokubaitisDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Femke PodevynResearch and Development, Icometrix, Leuven, Belgium.
Robert ZivadinovNeurology, State University of New York at Buffalo, Buffalo, New York, USA.ORCID https://orcid.org/0000-0002-7799-1485
Bianca Weinstock-GuttmanNeurology, State University of New York at Buffalo, Buffalo, New York, USA.
Marie B D'hoogheNational MS Center Melsbroek, Melsbroek, Belgium.
Guy NagelsResearch and Development, Icometrix, Leuven, Belgium.
Vincent Van PeschDepartment of Neurology, Universite catholique de Louvain, Louvain-la-Neuve, Belgium.
Guy LaureysDepartment of Neurology, Ghent University Hospital, Gent, Belgium.
Liesbeth Van HijfteDepartment of Neurology, Ghent University Hospital, Gent, Belgium.
Jeannette Lechner-ScottDepartment of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia.
Francesco PattiNeuroscience, University of Catania Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', Catania, Italy.ORCID https://orcid.org/0000-0002-6923-0846
Edgardo CristianoCentro de Esclerosis Múltiple de Buenos Aires (CEMBA), Buenos Aires, Argentina.
Juan I RojasCentro de Esclerosis Múltiple de Buenos Aires (CEMBA), Buenos Aires, Argentina.
Diana M SimaResearch and Development, Icometrix, Leuven, Belgium.
Wim Van HeckeResearch and Development, Icometrix, Leuven, Belgium.
Tomas Kalincik *Neuroimmunology Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Helmut Butzkueven *Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In a retrospective multicentre cohort study, we explored the association between brain atrophy and multiple sclerosis (MS) disability using different MRI scanners and protocols at multiple sites. Methods: Relapse-onset MS patients were included if they had two clinical MRIs 12 months apart and ≥2 Expanded Disability Status Scale (EDSS) scores. Percentage brain volume change (PBVC), percentage grey matter change (PGMC), fluid-attenuated inversion recovery (FLAIR) lesion volume change, whole brain volume (BV), grey matter volume (GMV), FLAIR lesion volume and T1 hypointense lesion volume were assessed by icobrain. Disability was measured by EDSS scores and 6-month confirmed disability progression (CDP). Results: Of the 260 relapse-onset MS patients included, 204 (78%) MRI pairs were performed in the same scanner and 56 (22%) pairs were from different scanners. 93% of patients were on treatment and mean PBVC was -0.26% (±0.52). During the median follow-up of 2.8 years from the second MRI, median EDSS change was 0.0 and 12% patients experienced 6-month CDP. Cross-sectional BV and GMV at the later MRI showed a trend for association with CDP (HR 0.99; 95% CI 0.98 to 1.00; p=0.06). Only BV at the later MRI was associated with EDSS score (β -0.03, SE 0.01, p<0.001) and the rate of EDSS change over time (β -0.001, SE 0.0003, p=0.02). There was no association between longitudinal PBVC or PGMC and CDP or EDSS (p>0.05). Conclusion: In this highly treated MS cohort with low disability accrual, only cross-sectional BV showed an association with future EDSS scores, while no MRI metric predicted 6-month CDP. These findings highlight the limitations of current clinical MRI measures in predicting disability worsening in real-world settings.

Indexed as

MRIMULTIPLE SCLEROSIS

Identifiers

PMID40734995
PMCPMC12306358

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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.