Evidence map›Paper›PMID 42337150›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Clinical and functional profile of very old people with multiple sclerosis: a cross-sectional study in the genoa area.

Novella Pretti, Martina Rolla, Erica Grange, Alessio Carbone, Giampaolo Brichetto, Claudio Solaro

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. 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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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Novella PrettiNeurology Unit, Galliera Hospital, Genoa, Italy. novellaalessandra.pretti@unito.it.ORCID http://orcid.org/0000-0002-1095-7012
Martina RollaDepartment of Rehabilitation, C.R.R.F. Mons. L. Novarese, Loc. Trompone SNC, Moncrivello, VC, 13040, Italy.
Erica GrangeneuroBRITE Research Center, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.
Alessio CarboneOncology Department, Galliera Hospital, Genoa, Italy.
Giampaolo BrichettoneuroBRITE Research Center, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.
Claudio SolaroNeurology Unit, Galliera Hospital, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with multiple sclerosis (pwMS) are rapidly aging, yet the clinical and functional profile of older individuals remains poorly characterized.

objectiveOur study aimed to describe the demographic, clinical, cognitive, functional, and psychosocial features of pwMS aged ≥ 60 years in the Genoa province, and identify predictors of cognitive and motor decline.

methodsIn this cross-sectional study, 109 pwMS aged 60-89 years were evaluated via structured telephone interviews. Collected variables included demographics, disability (SRDSS), mobility, comorbidities, dysphagia (DYMUS), pain (NRS, DN4), fatigue, urinary and fecal dysfunction, spasticity, cognitive function (Telephone-MoCA), depressive symptoms, and the level of independence. Multivariate logistic and ordered logistic regressions examined predictors of cognitive, motor, and clinical outcomes. An exploratory regression model estimated age-related cognitive and motor trajectories.

resultsOf the 109 participants (median age 71 years), 43 subjects were < 70 and 66 ≥ 70 years old. Participants showed high disability, widespread mobility limitation, fatigue (96%), urinary dysfunction (78%), and cognitive impairment (median MoCA 10). Older age was associated with worse cognition, greater dependence on instrumental activities of daily living, and higher dysphagia. In multivariate models, education predicted MoCA performance, and pain was independently associated with female sex and comorbidity burden. The age-trajectory model revealed a nonlinear acceleration of decline after 72-73 years, with cognition deteriorating earlier and faster than mobility.

conclusionsAging pwMS exhibit a substantial multidimensional burden. Cognitive decline accelerates in advanced age and precedes motor deterioration, underscoring the need for early cognitive monitoring and integrated, geriatric-informed care strategies.

Indexed as

AgingMultiple SclerosisActivities of Daily LivingAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedAgingClinical assessmentCognitionGeriatric-MSMultiple sclerosis

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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.