Evidence map›Paper›PMID 41284953›Full record

ArticleNeurology2025

Disability Worsening Phenotypes in Multiple Sclerosis and Impact of Disease-Modifying Treatments.

Ermelinda De Meo, Ilaria Addazio, Emilio Portaccio, Raffaello Bonacchi, Matteo Betti, Francesco Patti, Simone Guerrieri, Matteo Foschi, Diana Ferraro, Pietro Annovazzi and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Neurology, 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. Review
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

30 authors.

Ermelinda De MeoQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, United Kingdom.ORCID 0000-0001-5531-1111
Ilaria AddazioUniversity of Studies of Florence-Department of Neurofarba, Firenze, Italy.
Emilio PortaccioUniversity of Studies of Florence-Department of Neurofarba, Firenze, Italy.ORCID 0000-0002-9662-1762
Raffaello BonacchiVita-Salute San Raffaele University, Milan, Italy.
Matteo BettiUniversity of Studies of Florence-Department of Neurofarba, Firenze, Italy.ORCID 0000-0001-6621-3971
Francesco PattiDipartimento Scienze Mediche e Chirurgiche e Tecnologie Avanzate, GF Ingrassia, Università Catania UOS Sclerosi Multipla, Italy.ORCID 0000-0002-6923-0846
Simone GuerrieriVita-Salute San Raffaele University, Milan, Italy.
Matteo FoschiDipartimento di Neuroscienze-Centro Sclerosi Multipla-UO Neurologia-Ospedale S. Maria delle Croci-AUSL Romagna, Italy.ORCID 0000-0002-0321-7155
Diana FerraroDepartment of Neuroscience, Azienda Ospedaliero-Universitaria di Modena, Emilia-Romagna, Italy.ORCID 0000-0003-4818-3806
Pietro AnnovazziNeurologia ad Indirizzo Neuroimmunologico-Centro Sclerosi Multipla-ASST della Valle Olona, Ospedale di Gallarate, Italy.ORCID 0000-0003-0279-0707
Vincenzo Brescia MorraMultiple Sclerosis Clinical Care and Research Center, Department of Neuroscience (NSRO), Federico II University, Naples, Italy.ORCID 0000-0003-0462-9618
Carla TortorellaCentro Sclerosi Multipla-AO S.Camillo Forlanini, Roma, Italy.ORCID 0000-0001-9037-7300
Alessandra LugaresiIRCCS Istituto delle Scienze Neurologiche di Bologna -Bologna, Italy.ORCID 0000-0003-2902-5589
Federico CamilliIRCCS Istituto delle Scienze Neurologiche di Bologna -Bologna, Italy.
Carlo PozzilliCentro SM-Policlinico S. Andrea-Università Sapienza-Roma-Italy.ORCID 0000-0002-6360-4798
Paola PeriniCentro Specializzato Regionale per la Sclerosi Multipla; (CeSMuV), Regione Veneto, Dipartimento di Neuroscienze DNS, Azienda Ospedaliera, Università degli Studi di Padova, Italy.ORCID 0009-0008-9628-1180
Franco GranellaCentro Sclerosi Multipla-UOC di Neurologia-Dipartimento di Medicina Generale e Specialistica-AOU di Parma, Italy.
Giovanna De LucaCentro Sclerosi Multipla, Clinica Neurologica, Policlinico SS. Annunziata, Chieti, Italy.ORCID 0000-0002-7693-2256
Valentina Liliana Adriana Maria Torri ClericiNeuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.ORCID 0000-0002-6329-8946
Marika VianelloUnit of Neurology, Cà Foncello Hospital, Treviso, Italy.ORCID 0009-0006-0864-7230
Silvia RomanoDepartment of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Sapienza University of Rome, Italy.ORCID 0000-0003-0499-8843
Eleonora E CoccoDepartment of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, University of Cagliari, Italy.ORCID 0000-0002-3878-8820
G LusCentro Clinico per la Sclerosi Multipla-II Clinica Neurologica-Università della Campania L. Vanvitelli, Napoli, Italy.ORCID 0000-0002-9457-1124
Alessia Di SapioRegional Referral MS Center and BioBank San Luigi Gonzaga University Hospital Orbassano (Torino), Italy.ORCID 0000-0002-5575-7567
Maria A RoccaVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0003-2358-4320
Marta SimoneNeuropsychiatric Unit Department of Precision and Rigenerative Medicine and Jonic Area, University of Bari Aldo Moro, Italy.ORCID 0000-0003-4381-4613
Pietro IaffaldanoCentro SM -DiBraiN-Dipartimento di Biomedicina Traslazionale e Neuroscienze-Università di Bari, Italy; and.ORCID 0000-0003-2308-1731
Massimo FilippiVita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-5485-0479
Maria TrojanoCentro SM -DiBraiN-Dipartimento di Biomedicina Traslazionale e Neuroscienze-Università di Bari, Italy; and.
Maria Pia AmatoUniversity of Studies of Florence-Department of Neurofarba, Firenze, Italy.ORCID 0000-0003-3325-3760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesPatients with multiple sclerosis (MS) exhibit variability in disability progression and response to disease-modifying therapies (DMTs). Identifying those at greatest risk of disability worsening and most likely to benefit from high-efficacy DMTs remains challenging. We aimed to identify distinct disability worsening phenotypes, explore their mechanisms, and evaluate DMT impact across them.

methodsIn this multicenter cohort study, we analyzed clinical and MRI data from propensity-matched cohorts of treated and untreated patients with relapse-onset MS from the Italian MS Register. Inclusion criteria were as follows: ≥3 years of follow-up, ≤1 year between disease onset and first assessment, and complete clinical and baseline MRI data. Latent class mixture models were applied to Expanded Disability Status Scale (EDSS) scores from untreated patients to identify disability worsening phenotypes. We compared proportions of progression independent of relapse activity (PIRA) and relapse-associated worsening events across phenotypes. A random forest algorithm, trained (70%) and tested (30%) on baseline clinical and MRI features of untreated patients, was used to assign phenotypes to treated patients. Linear mixed-effects models estimated DMT impact on disability trajectories within each phenotype.

resultsWe analyzed data from 2,563 untreated (mean age 41.2 ± 10 years, 67% female) and 2,952 treated (mean age 40.8 ± 11.4 years, 66% female) patients with MS over a median follow-up of 10.1 (interquartile range: 7.0-13.0) years. Four phenotypes were identified in untreated patients: "minimal-worsening" (15%), "late-worsening" (70%), "early-worsening" (3%), and "rapid-worsening" (12%). In all phenotypes, PIRA represented the main disability accrual mechanism. "Early-worsening" and "rapid-worsening" phenotypes exhibited more brain and spinal cord T2-hyperintense and gadolinium-enhancing lesions at baseline. The classification algorithm assigned phenotypes to patients receiving DMTs with 71% accuracy: "minimal-worsening" (18%), "late-worsening" (61%), "early-worsening" (13%), and "rapid-worsening" (8%). DMT exposure significantly reduced disability accrual in all phenotypes, with high-efficacy DMTs (β = -0.16, standard error (SE) = 0.06, DISCUSSION: We identified 4 clinically relevant disability worsening phenotypes in relapse-onset MS, primarily driven by PIRA, with greater CNS involvement linked to early and rapid progression. Despite reliance on EDSS alone, these phenotypes may inform personalized treatment and response assessment.

Indexed as

Disease ProgressionMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingAdultCohort StudiesDisability EvaluationFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPhenotypeRegistries

Identifiers

PMID41284953
PMCPMC12666879

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