Evidence map›Paper›PMID 40954438›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Benign multiple sclerosis: looking beyond physical disability.

Josué de Almeida David, Thomas Vieira de Paula, Alfredo Damasceno

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Josué de Almeida DavidFaculty of Medical Sciences, Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil.
Thomas Vieira de PaulaDepartment of Neurology, Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil.
Alfredo DamascenoDepartment of Neurology, Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil. alfredodamasceno@hotmail.com.ORCID http://orcid.org/0000-0002-7919-3989

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/09951-7
6 · The paper itself

Abstract

backgroundPrevious studies on Benign Multiple Sclerosis (BMS) relied mostly on the Expanded Disability Status Scale (EDSS) for classification. In addition, the underlying mechanisms of BMS are not yet fully understood. Therefore, we analyzed the frequency of BMS when parameters beyond EDSS are included, and BMS neuroimaging correlates.

methodsBMS (EDSS ≤ 3.0 after 10 years of onset) and traditional MS (EDSS > 3.0 after the same period) individuals underwent assessment of physical disability, fatigue, depression, and cognition. BMS were further classified according to a stringent EDSS-based criteria (EDSS ≤ 2.0 after 15 years of onset) and as fully benign (no fatigue, depression or cognitive deficit). We quantified lesions in four locations for dissemination in space (DIS). Logistic regression was employed to analyze clinical/demographic and neuroimaging predictors of BMS.

resultsIndividuals with traditional MS (n = 23) and BMS (n = 30) had similar frequency of depression. Thirteen (43.3%) BMS individuals had no fatigue, depression or cognitive deficit. Lesions at each DIS location were similarly distributed across groups, except for the spinal cord which was lower in BMS (p = 0.024). After logistic regression, education (OR = 0.839, 95%CI 0.716-0.984) and spinal cord lesions (OR = 1.364, 95%CI 1.054-1.765) were associated with BMS.

conclusionsIndividuals with the EDSS-based classification of BMS show a similar frequency of depression compared to traditional RRMS, underscoring the need of a broader definition of BMS. Higher education and less spinal cord lesions are associated with the BMS status.

Indexed as

Multiple SclerosisAdultDepressionDisability EvaluationFatigueFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSeverity of Illness IndexCognitionDepressionMagnetic resonance imagingMultiple sclerosisPrognosisSpinal cord

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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.