Evidence map›Paper›PMID 41249406›Full record

ArticleScientific reports2025

Clinical and electrophysiological study of polyneuropathy in patients with multiple sclerosis.

Alina Flintere-Flinte, Daniels Urbanovics, Staņislavs Mironovs, Solvita Berzina, Jolanta Kalnina, Elizabete Kenina, Maksims Zolovs, Viktorija Kenina

Abstract read
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Article in Scientific reports, 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Alina Flintere-Flinte *Department of Neurology, Pauls Stradins Clinical University Hospital, Riga, Latvia. alina.flintereflinte@gmail.com.
Daniels Urbanovics *Faculty of Medicine, Riga Stradins University, Riga, Latvia.
Staņislavs MironovsDepartment of Neurology, Pauls Stradins Clinical University Hospital, Riga, Latvia.
Solvita BerzinaDepartment of Neurology, Pauls Stradins Clinical University Hospital, Riga, Latvia.
Jolanta KalninaLatvian Maritime Medical Center, Riga, Latvia.
Elizabete KeninaFaculty of Medicine, Riga Stradins University, Riga, Latvia.
Maksims Zolovs *Statistics Unit, Riga Stradins University, Riga, Latvia.
Viktorija Kenina *Department of Neurology, Pauls Stradins Clinical University Hospital, Riga, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although multiple sclerosis (MS) primarily affects the central nervous system, studies suggest peripheral nervous system involvement, leading to polyneuropathy (PNP). However, its prevalence and associated clinical factors remain unclear. This study addresses this gap. We enrolled 149 people with MS (pwMS) based on McDonald criteria (2017), including 54 males (36.2%) and 95 females (63.8%). Patients were classified as relapsing-remitting MS (RRMS, n = 130), secondary progressive MS (SPMS, n = 14), and primary progressive MS (PPMS, n = 5). Assessments included the total neuropathy score (TNSc), neuropathic pain scale (DN4), expanded disability status scale (EDSS), and generalized anxiety disorder scale-7 (GAD-7). Nerve conduction studies (NCS) were conducted to define PNP. PNP was diagnosed in 16% (n = 24) of subjects, with the highest prevalence in the SPMS group (35.7%). Higher TNSc scores, cerebral MS disease form, and male gender significantly increased PNP risk. Women had a 54% lower risk than men. NCS findings indicated significantly longer M latency and reduced nerve conduction velocity in the PNP group, suggesting a demyelinating nature. This study provides descriptive insights into the prevalence and neurophysiological features of polyneuropathy in multiple sclerosis, suggesting a complex interplay between disease-related and clinical factors. While limitations such as small sample size and single-center design warrant cautious interpretation, the findings underscore the need for larger, multicenter studies to clarify underlying mechanisms and guide improved diagnostic and therapeutic strategies.

Indexed as

Multiple SclerosisPolyneuropathiesAdultFemaleHumansMaleMiddle AgedNeural ConductionPrevalenceEDSSElectrophysiologyMultiple sclerosisNeuropathy scoresPolyneuropathy

Identifiers

PMID41249406
PMCPMC12623746

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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.