Evidence mapPaperPMID 42549016Full record

ArticleEClinicalMedicine2026

Applying the 2024-revised McDonald criteria for multiple sclerosis using conventional diagnostic tools: a single-centre prospective cohort study in Germany.

Franz Felix Konen, Nima Mahmoudi, Lina Marie Albers, Georgina Arrambide, Anna Lena Streichert, Melanie Haar, Alexander Soldatov, Erda Bucak, Konstantin Fritz Jendretzky, Sandra Nay and 16 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2026. 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

26 authors.

Franz Felix KonenDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Nima MahmoudiDepartment of Neuroradiology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Lina Marie AlbersDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Georgina ArrambideNeurology-Neuroimmunology Department, Vall d'Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, and Universitat de Vic-Central de Catalunya (UVic-UCC); Barcelona, Spain.
Anna Lena StreichertDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Melanie HaarDepartment of Ophthalmology, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany.
Alexander SoldatovDepartment of Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany.
Erda BucakDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Konstantin Fritz JendretzkyDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Sandra NayDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Lea Grote-LeviDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Tobias HegelmaierDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Corinna TrebstDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Philipp SchwenkenbecherDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Martin W HümmertDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Marc PawlitzkiDepartment of Neurology, University Hospital and Medical Faculty Düsseldorf, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
Kurt-Wolfram SühsDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Michael KhalilDepartment of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria.
Carsten FrammeDepartment of Ophthalmology, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany.
Axel PetzoldThe National Hospital for Neurology and Neurosurgery, Queen Square UCL Institute of Neurology & Moorfields Eye Hospital, City Road, London, UK.
Sven G MeuthDepartment of Neurology, University of Münster, Münster 48149, Germany.
Mike P WattjesDepartment of Neuroradiology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Aiden HaghikiaDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
Xavier MontalbanNeurology-Neuroimmunology Department, Vall d'Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, and Universitat de Vic-Central de Catalunya (UVic-UCC); Barcelona, Spain.
Julius RenneDepartment of Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, Hannover 30625, Germany.
Thomas SkripuletzDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The 2024-revised McDonald criteria may enable earlier diagnosis of multiple sclerosis (MS) through inclusion of optic nerve involvement as fifth neuroanatomical topography, novel MRI biomarkers, cerebrospinal fluid (CSF) kappa free light chains (KFLC), and classification of radiologically isolated syndrome (RIS) as MS. Their applicability in routine practice remained for evaluation. Methods: In this prospective single-centre cohort study in Germany, adults presenting between October 1, 2020, and June 30, 2025, with a first demyelinating event or RIS were screened. Participants underwent conventional diagnostic work-up according to the 2017-revised McDonald criteria, including contrast-enhanced MRI, visual evoked potentials (VEP), and CSF analysis. Novel MRI markers and optical coherence tomography were not systematically available. Primary outcome was the proportion of individuals fulfilling the 2024-revised versus the 2017-revised McDonald criteria at baseline assessment. Findings: Applying the 2024-revised criteria, 201/215 individuals (93.5%) fulfilled diagnostic criteria for MS versus 181/215 (84%) using the 2017 revision (p < 0.0001). Additional diagnoses resulted from optic nerve involvement (55%) and RIS reclassification (35%). VEP identified optic nerve lesions in 89% of cases. Overall, 102/201 (51%) individuals fulfilled diagnostic criteria based on MRI findings alone, whereas 99/201 (49%) additionally required inflammatory CSF findings and dissemination in time. Interpretation: Application of selected components of the 2024-revised McDonald criteria increased the proportion of individuals fulfilling the diagnostic criteria, mainly through inclusion of optic nerve involvement and recognition of RIS. CSF analysis remained important for diagnosis and differential diagnostics. Further studies should evaluate the contribution of novel imaging biomarkers. Funding: No external funding was received.

Indexed as

Cerebrospinal fluidMcDonald criteriaMRIMultiple sclerosisVisual evoked potentials

Identifiers

PMID42549016
PMCPMC13430206

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.