Evidence map›Paper›PMID 39605172›Full record

ArticleAnnals of neurology2025

Towards a Unified Set of Diagnostic Criteria for Multiple Sclerosis.

Wallace J Brownlee, Angela Vidal-Jordana, Madiha Shatila, Eva Strijbis, Lisa Schoof, Joep Killestein, Frederik Barkhof, Luca Bollo, Alex Rovira, Jaume Sastre-Garriga and 13 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Co-occurrence of parkinson disease and multiple sclerosis - a critical note.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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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

23 authors.

Wallace J BrownleeQueen Square Multiple Sclerosis Center, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.ORCID 0000-0003-0481-8902
Angela Vidal-JordanaDepartment of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Madiha ShatilaQueen Square Multiple Sclerosis Center, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
Eva StrijbisMultiple Sclerosis Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical College VUMC, Amsterdam, the Netherlands.
Lisa SchoofMultiple Sclerosis Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical College VUMC, Amsterdam, the Netherlands.
Joep KillesteinMultiple Sclerosis Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical College VUMC, Amsterdam, the Netherlands.
Frederik BarkhofQueen Square Multiple Sclerosis Center, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
Luca BolloDepartment of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Alex RoviraSection of Neuroradiology. Department of Radiology, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.ORCID 0000-0002-2132-6750
Jaume Sastre-GarrigaDepartment of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.ORCID 0000-0002-1589-2254
Mar TintoreDepartment of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Maria A RoccaNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-2358-4320
Federica EspositoNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-2550-0805
Matteo AzzimontiNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Massimo FilippiNeuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-5485-0479
Benedetta BodiniParis Brain Institute, Sorbonne Université, Paris, France.
Andrea LazzarottoParis Brain Institute, Sorbonne Université, Paris, France.
Bruno StankoffParis Brain Institute, Sorbonne Université, Paris, France.ORCID 0000-0002-9631-4674
Xavier MontalbanDepartment of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Ahmed T ToosyQueen Square Multiple Sclerosis Center, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
Alan J ThompsonQueen Square Multiple Sclerosis Center, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
Olga CiccarelliQueen Square Multiple Sclerosis Center, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
MAGNIMS Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 2017 McDonald criteria continued the separation of diagnostic criteria for relapsing-remitting multiple sclerosis (RRMS) and primary progressive MS (PPMS) for historical, rather than biological, reasons. We aimed to explore the feasibility of a single, unified set of diagnostic criteria when applied to patients with suspected PPMS.

methodsWe retrospectively identified patients evaluated for suspected PPMS at 5 European centers. The 2017 McDonald PPMS criteria was the gold standard against which the 2017 McDonald RRMS dissemination in space (DIS) and dissemination in time criteria were evaluated. We also investigated modified RRMS DIS criteria, including: (i) optic nerve lesions; (ii) ≥2 spinal cord lesions; and (iii) higher fulfilment of DIS criteria alone (lesions in ≥3 regions) without dissemination in time/positive cerebrospinal fluid, for a diagnosis of PPMS.

resultsA total of 282 patients were diagnosed with PPMS using the 2017 McDonald criteria, and 40 with alternate disorders. The 2017 McDonald RRMS DIS criteria and the modified DIS criteria including the optic nerve or ≥2 spinal cord lesions performed well in PPMS diagnosis when combined with dissemination in time/positive cerebrospinal fluid (sensitivity 92.9-95.4%, specificity 95%, accuracy 93.2-95.3%). A diagnosis of PPMS based on high fulfillment of modified RRMS DIS criteria had high specificity, but low sensitivity. A diagnostic algorithm applicable to patients evaluated for suspected MS is proposed.

interpretationThe 2017 McDonald RRMS criteria and modifications to DIS criteria, currently under consideration, performed well in PPMS diagnosis. Forthcoming revisions to the McDonald criteria should consider a single, unified set of diagnostic criteria for MS. ANN NEUROL 2025;97:571-582.

Indexed as

Multiple SclerosisMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOptic NerveRetrospective StudiesSpinal Cord

Identifiers

PMID39605172
PMCPMC11831880

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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.