Evidence map›Paper›PMID 40708177›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2025

Neurofilament Light Chain and Disability Measures as Predictors of Cognitive Decline in Early Multiple Sclerosis.

Vera Taluntiene, Natasa Giedraitiene, Rasa Kizlaitiene, Mantas Vaisvilas, Gintaras Kaubrys

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

Who cites it

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Vera TaluntieneClinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Natasa GiedraitieneClinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Rasa KizlaitieneClinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Mantas VaisvilasClinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Gintaras KaubrysClinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.ORCID 0000-0003-4998-8403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study investigated whether cerebrospinal fluid (CSF) and serum neurofilament light chain (NfL), a biomarker of axonal degeneration, combined with manual dexterity and ambulation measures, can serve as reliable predictors of MS-related cognitive impairment (CI). MATERIAL AND METHODS A total of 99 newly diagnosed patients with MS (PwMS) and 37 healthy controls (control group [CG]) were included in the study. Serum NfL levels were measured in both groups, whereas PwMS also underwent CSF NfL analysis. Cognition was assessed using the Brief International Cognitive Assessment for MS (BICAMS) test battery. Disability was evaluated using the Expanded Disability Status Scale (EDSS), Nine-Hole Peg Test (NHPT), and Timed 25-Foot Walk Test (T25FWT). PwMS were classified as cognitively impaired if Z-scores of 1 or more BICAMS tests were below -1.5 standard deviations from the mean of the CG scores. RESULTS PwMS had significantly lower median scores in the Brief Visuospatial Memory and Learning Revised (BVMT-R) and California Verbal Learning Test II (CVLT) (p=0.003 and p<0.001, respectively). They had significantly longer NHPT and T25FWT times (p<0.001) and higher serum NfL concentrations (11.8 vs 5.8 pg/mL, p<0.001). CI was identified in 32.3% of PwMS. Linear regression showed that lower CSF NfL levels significantly predicted higher BVMT-R scores. Logistic regression analysis demonstrated that NHPT and T25FWT times significantly predicted impairment in SDMT and BVMT-R. Serum NfL concentration showed a tendency toward predicting SDMT impairment (p=0.051), whereas CSF NfL levels significantly predicted abnormal BVMT-R scores and overall CI. CONCLUSIONS In early-stage MS, CSF and serum NfL concentrations, along with ambulation and manual dexterity measurements, can be valuable tools for predicting cognitive impairment.

Indexed as

Cognitive DysfunctionDisability EvaluationMultiple SclerosisNeurofilament ProteinsAdolescentAdultBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedNeuropsychological TestsProspective StudiesRisk AssessmentWalk TestBiomarkersneurofilament protein LNeurofilament Proteins

Identifiers

PMID40708177
PMCPMC12306325

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LicenceCC BY-NC-ND
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Registered trials

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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.