Evidence map›Paper›PMID 40312892›Full record

ArticleEuropean journal of neurology2025

Identifying neuropsychological phenotypes in multiple sclerosis using latent profile analysis.

Antonio Luca Spiezia, Giuseppe Pontillo, Fabrizia Falco, Martina Eliano, Federica Lamagna, Antonio Esposito, Cristina Di Monaco, Valerio Nicolella, Federica Novarella, Marcello Moccia and 6 more

Abstract read
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Progress on prognostic assessment methods for mild cognitive impairment].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
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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

16 authors.

Antonio Luca SpieziaMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.ORCID 0000-0003-3287-3247
Giuseppe PontilloDepartment of Advanced Biomedical Sciences, Federico II University Hospital of Naples, Naples, Italy.ORCID 0000-0001-5425-1890
Fabrizia FalcoMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.
Martina ElianoMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.
Federica LamagnaMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.
Antonio EspositoMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.ORCID 0009-0009-9042-9866
Cristina Di MonacoMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.
Valerio NicolellaMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.ORCID 0009-0009-0756-9877
Federica NovarellaMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.
Marcello MocciaMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.ORCID 0000-0003-2613-3090
Sirio CocozzaDepartment of Advanced Biomedical Sciences, Federico II University Hospital of Naples, Naples, Italy.ORCID 0000-0002-0300-5160
Arturo BrunettiDepartment of Advanced Biomedical Sciences, Federico II University Hospital of Naples, Naples, Italy.
Roberta LanzilloMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.
Maria PetraccaDepartment of Human Neurosciences, Sapienza University, Rome, Italy.
Vincenzo Brescia MorraMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.
Antonio CarotenutoMultiple Sclerosis Unit, Federico II University Hospital of Naples, Naples, Italy.ORCID 0000-0002-1574-9693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with Multiple Sclerosis (MS) frequently experience cognitive impairment and neurobehavioral issues including depression and fatigue. We aim to define neuropsychological phenotypes in MS based on cognitive function, depression and fatigue.

methodsIn this cross-sectional study, we collected clinical and neuropsychological data for 600 MS patients. Neuropsychological assessments included Brief International Cognitive Assessment for MS (BICAMS), Beck Depression Inventory (BDI-II) and Modified Fatigue Impact Scale (MFIS). We employed a latent profile analysis (LPA) to unveil latent neuropsychological profiles in MS patients, clustering individuals in unobserved groups, and we compared clinical and MRI features between groups.

resultsLPA identified five neuropsychological phenotypes: Normal neuropsychological phenotype, with normal cognitive and neurobehavioral scores; Isolated cognitive impairment, showing mild reduction in BICAMS scores; Isolated neurobehavioral impairment, showing increased BDI-II and MFIS scores; Mild neuropsychological impairment, showing mildly reduced BICAMS scores, and mildly increased BDI-II and MFIS scores; Severe neuropsychological impairment, showing severely reduced BICAMS scores, and great increase in BDI-II and MFIS scores vs patients with normal neuropsychological phenotype. Relapsing-onset and paediatric-onset patients are more likely in the normal neuropsychological phenotype and isolated cognitive impairment class. Patients with severe neuropsychological impairment showed lower cortical grey matter, thalamic, amygdala, pallidum and putamen volume compared with those with isolated neurobehavioral impairment.

conclusionsWe identified five neuropsychological phenotypes in patients with MS that showed distinct clinical and radiologic features, as from different stages of the disease pathology accrual. Clinical and MRI features may help distinguishing patients requiring closer monitoring of cognitive or neurobehavioral symptoms. DISCLOSURES: Antonio Luca Spiezia, Fabrizia Falco, Federica Lamagna, Martina Eliano, Valerio Nicolella, Antonio Esposito and Cristina Di Monaco have nothing to disclose. Marcello Moccia has received financial support by the MUR PNRR Extended Partnership (MNESYS no. PE00000006, and DHEAL-COM no. PNC-E3-2022-23,683,267); research grants from the ECTRIMS-MAGNIMS, the UK MS Society, and Merck; salary as Assistant Editor of Neurology; and honoraria from Abbvie, Biogen, BMS Celgene, Ipsen, Jansenn, Merck, Novartis, Roche, and Sanofi-Genzyme. Sirio Cocozza has served on scientific advisory board for Amicus Therapeutics, has received speaker honoraria from Sanofi and research grants from Fondazione Italiana Sclerosi Multipla and Telethon. Giuseppe Pontillo was supported by the MAGNIMS/ECTRIMS (2020), ESNR (2021), and ECTRIMS (2022) research fellowship programs. Roberta Lanzillo has received honoraria from Biogen, Merck, Novartis, Roche and Teva. VBM has received research grants from the Italian MS Society, and Roche, and honoraria from Bayer, Biogen, Merck, Mylan, Novartis, Roche, Sanofi- Genzyme and Teva. Vincenzo Brescia Morra has received research grants from Italian MS Federation and Roche; and honoraria from Almirall, Biogen, BMS Celgene, Janssen, Merck, Novartis, Roche, Sanofi-Genzyme, and Viatris. Maria Petracca discloses travel/meeting expenses from Novartis, Janssen, Roche and Merck; speaking honoraria from HEALTH&LIFE S.r.l., AIM Education S.r.l., Biogen, Novartis and FARECOMUNICAZIONE E20; honoraria for consulting services and advisory board participation from Biogen; research grants from Baroni Foundation and the Italian Ministry of University and Research. Antonio Carotenuto disclosed research grants from ECTRIMS-MAGNIMS and Almirall, travel/meeting expenses from Novartis, Janssen, Roche and Merck and speaking honoraria from Merk, BMS, Biogen, Novartis, Roche and Almirall.

Indexed as

Cognitive DysfunctionDepressionFatigueMultiple SclerosisAdultCross-Sectional StudiesFemaleHumansLatent Class AnalysisMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsPhenotypecognitive impairmentlatent profile analysismultiple sclerosispsychiatry

Identifiers

PMID40312892
PMCPMC12046067

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