Evidence map›Paper›PMID 41061182›Full record

Observational studyNeurology(R) neuroimmunology & neuroinflammation2025

Applying the Supporting Features for MOGAD Diagnosis to Patients With Multiple Sclerosis.

Pietro Zara, Giacomo Greco, Francesco Masi, Stefania Leoni, Valentina Floris, Sabrine Othmani, M Margherita Sechi, Sara Carta, Eduardo Caverzasi, Anna Pichiecchio and 7 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Neurology(R) neuroimmunology & neuroinflammation, 2025. 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

17 authors.

Pietro ZaraNeurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Italy.ORCID 0000-0002-3521-8320
Giacomo GrecoNeuroimmunology Research Section, IRCCS Mondino Foundation, Pavia, Italy.ORCID 0000-0001-8097-0565
Francesco MasiMultiple Sclerosis Center, IRCCS Mondino Foundation, Pavia, Italy.ORCID 0009-0000-7048-6307
Stefania LeoniNeurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Italy.
Valentina FlorisNeurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Italy.
Sabrine OthmaniNeurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Italy.
M Margherita SechiChild Neurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Sassari, Italy.
Sara CartaNeurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Italy.ORCID 0000-0001-5248-456X
Eduardo CaverzasiAdvanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, and Department of Brain and Behavioral Sciences, University of Pavia, Italy.ORCID 0000-0002-0350-0460
Anna PichiecchioAdvanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, and Department of Brain and Behavioral Sciences, University of Pavia, Italy.ORCID 0000-0002-5654-4088
Stefano SotgiuChild Neurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Sassari, Italy.
Paolo SollaNeurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Italy.ORCID 0000-0002-2982-0665
Elena ColomboMultiple Sclerosis Center, IRCCS Mondino Foundation, Pavia, Italy.ORCID 0000-0002-5265-5055
Rosa CorteseDepartment of Medicine, Surgery and Neuroscience, University of Siena, Italy; and.ORCID 0000-0002-9803-7914
Sara MariottoNeurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Italy.ORCID 0000-0002-7806-3103
Matteo GastaldiNeuroimmunology Research Section, IRCCS Mondino Foundation, Pavia, Italy.ORCID 0000-0003-2288-2000
Elia SechiNeurology Unit, Department of Medicine, Surgery and Pharmacy, University Hospital of Sassari, Italy.ORCID 0000-0003-4698-663X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesIn the 2023 diagnostic criteria, supporting clinical/MRI features are required to diagnose myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) in patients at high risk of false MOG-IgG positivity (low/unavailable titer, cerebrospinal fluid-restricted), to help differentiation from multiple sclerosis (MS). However, overlap is possible and determining the frequency of the MOGAD supporting features at MS onset may help prevent misdiagnosis. We assessed the frequency of the MOGAD supporting features and potential risk of misdiagnosis at first attack of MS/clinically isolated syndrome (CIS).

methodsIn this observational study, we retrospectively identified consecutive patients hospitalized between 2021 and 2024 at 2 Italian centers, with: (1) relapsing-remitting MS/CIS, and (2) first attack MRI available. The frequency of the MOGAD supporting features was assessed at MS/CIS presentation, and potential risk of misdiagnosis determined based on the probability of concurrent false MOG-IgG positivity. Other clinical-MRI features typical of MOGAD but not included in the 2023 diagnostic criteria were also evaluated.

resultsA total of 244 patients with MS/CIS were included (median age, 34 [range, 13-78] years; 66% were female). Overall, 65/244 (27%) patients with MS/CIS showed at least 1 MOGAD supporting feature during the presenting attack. "Central cord lesion" (27/82 [33%]) and "deep gray nuclei involvement" (24/86 [28%]) were more represented than other supporting features (0%-7%); DISCUSSION: Although the MOGAD supporting features can be met in one-fourth of patients at MS/CIS presentation, the risk of misdiagnosis in similar unselected cohorts remains low. Future refinements of the MOGAD supporting features should take into account their relative frequency in MS/CIS and possible integration with additional clinical-MRI features that are more specific for MOGAD.

Indexed as

AutoantibodiesMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingMyelin-Oligodendrocyte GlycoproteinAdolescentAdultAgedDiagnostic ErrorsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMyelin Oligodendrocyte Glycoprotein Antibody-Associated DiseaseRetrospective StudiesYoung AdultAutoantibodiesMOG protein, humanMyelin-Oligodendrocyte Glycoprotein

Identifiers

PMID41061182
PMCPMC12509963

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.