Evidence map›Paper›PMID 39174771›Full record

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

Fatigue and depression influence the prevalence of anxiety in patients with multiple sclerosis.

Aliz Nyári, Zsófia Kokas, Szabolcs Szamosi, Zsanett Fricska-Nagy, Zsigmond Tamás Kincses, Judit Füvesi, Tamás Biernacki, Péter Klivényi, Krisztina Bencsik, Dániel Sandi

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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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Aliz NyáriDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Zsófia KokasDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Szabolcs SzamosiDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Zsanett Fricska-NagyDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Zsigmond Tamás KincsesDepartment of Radiology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Judit FüvesiDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Tamás BiernackiDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Péter KlivényiDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Krisztina BencsikDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
Dániel SandiDepartment of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary. sandi.daniel@med.u-szeged.hu.ORCID http://orcid.org/0000-0001-5024-6437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is scarce information in Middle-Eastern Europe regarding the prevalence of anxiety in patients with multiple sclerosis (pwMS) and its association with different clinical-demographic factors.

objectiveWe aimed to determine the prevalence of anxiety in Hungarian MS patients and to analyze associated factors. MATERIALS AND

methodsWe evaluated 260 PwMS with the STAI-5 anxiety questionnaire. Fatigue (FIS), depression (BDI-II) and cognition (BICAMS) were also measured. Patients underwent standard neurological evaluations to evaluate Expanded Disability Status Scale (EDSS), and also measured the fine motor skills of the hand with the 9-hole peg test (9HPT), and the walking distance with the 25-foot walking test (T25FW).

resultsWe identified 23.1% (N = 60) of the patients with anxiety (only state, trait or both forms concurrently). According to our two univariate, multivariable logistic regression analysis, fatigue and depression are strongly associated with both state and trait anxiety. In the absence of fatigue, the odds of trait anxiety are 82% lower (OR: 0.18; 95% CI: 0.06-0.53; p = 0.002), while in the case of pwMS without depression, the odds are reduced by 81% (OR: 0.19; CI95%= 0.07-0.51, p = 0.001). This association with fatigue (OR: 0.33; CI95%= 0.13-0.85, p = 0.021) and depression (OR: 0.14; CI95%=0.06-0.35; p < 0.001) can also be statistically verified on state anxiety. Importantly, a significant association with state anxiety was found in SPSM patients as well (OR: 34.94; CI95%=2.55-479.61; p = 0.008).

conclusionsAnxiety was strongly associated with fatigue, depression, and secondary progressive disease form. These results emphasize the burden of psychiatric morbidity in pwMS.

Indexed as

AnxietyDepressionFatigueMultiple SclerosisAdultDisability EvaluationFemaleHumansHungaryMaleMiddle AgedPrevalencePsychiatric Status Rating ScalesSurveys and QuestionnairesAnxietyDepressionFatigueQuality of lifeSecondary progressive MSSTAI

Identifiers

PMID39174771

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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.