Evidence map›Paper›PMID 40204954›Full record

ArticleJournal of neurology2025

Clinical and MRI features contributing to the clinico-radiological dissociation in a large cohort of people with multiple sclerosis.

Abhineet Ojha, Silvia Tommasin, Claudia Piervincenzi, Viola Baione, Emma Gangemi, Antonio Gallo, Alessandro d'Ambrosio, Manuela Altieri, Nicola De Stefano, Rosa Cortese and 7 more

Abstract read
In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Big data in multiple sclerosis.Current opinion in neurology · 2026
    Review
  4. Article
  5. Heterogeneous Deep Gray Matter Iron Deposition Patterns across Multiple Sclerosis Subgroups Defined by the Clinico-Radiological Paradox.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  6. 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.

Abhineet OjhaDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Silvia TommasinDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy. silvia.tommasin@uniroma1.it.ORCID http://orcid.org/0000-0001-9088-7968
Claudia PiervincenziDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Viola BaioneDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Emma GangemiDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Antonio GalloDepartment of Advanced Medical and Surgical Sciences, 3t MRI‑Center, University of Campania "Luigi Vanvitelli", Naples, Italy.
Alessandro d'AmbrosioDepartment of Advanced Medical and Surgical Sciences, 3t MRI‑Center, University of Campania "Luigi Vanvitelli", Naples, Italy.
Manuela AltieriDepartment of Advanced Medical and Surgical Sciences, 3t MRI‑Center, University of Campania "Luigi Vanvitelli", Naples, Italy.
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Rosa CorteseDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Paola ValsasinaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Nicolò TedoneNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Carlo PozzilliDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Patrizia PantanoDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
INNI Network

Funding

Associazione Italiana Sclerosi Multipla 2023/S/1
6 · The paper itself

Abstract

backgroundPeople with Multiple Sclerosis (PwMS) often show a mismatch between disability and T2-hyperintense white matter (WM) lesion volume (LV), that in general is referred to as the clinico-radiological paradox.

objectivesThis study aimed to understand how an extensive clinical, neuropsychological, and MRI analysis could better elucidate the clinico-radiological dissociation in a large cohort of PwMS.

methodsClinical scores, such as Expanded Disability Status Scale (EDSS), 9 Hole Peg Test (9HPT), 25-foot Walking Test (25-FWT), Paced Auditory Serial Addition Test at 3 s (PASAT3), Symbol digit Modalities Test (SDMT), demographics, and 3 T-MRI of 717 PwMS and 284 healthy subjects (HS) were downloaded from the INNI database. Considering medians of LV and EDSS scores, PwMS were divided into four groups: low LV and disability (LL/LD); high LV and low disability (HL/LD); low LV and high disability (LL/HD); high LV and disability (HL/HD). MRI measures included: volumes of gray matter (GM), WM, cerebellum, basal ganglia and thalamus, spinal cord (SC) area, and functional connectivity of resting-state networks.

resultsThe clinico-radiological dissociation involved 36% of our sample. HL/LD showed worse SDMT scores and lower global and deep GM volumes than HS and LL/LD. LL/HD showed lower GM, thalamus, and cerebellum volumes, and SC area than HS, and lower SC area than LL/LD.

conclusionsA more extensive clinical assessment, including cognitive tests, and MRI evaluation including deep GM and SC, could better describe the real status of the disease and help clinicians in early and tailored treatment in PwMS.

Indexed as

BrainMagnetic Resonance ImagingMultiple SclerosisWhite MatterAdultCohort StudiesDisability EvaluationFemaleGray MatterHumansMaleMiddle AgedClinico-radiological dissociationMagnetic resonance imaging (MRI)Multiple Sclerosis

Identifiers

PMID40204954
PMCPMC11982092

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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.