Evidence map›Paper›PMID 42310418›Full record

ArticleScientific reports2026

Eyes closed single-leg stance test detects subtle sensorimotor decline in early multiple sclerosis.

Kardelen Akar, Hussein Youssef, Furkan Akkoç, Eser Buluş, Sena Destan Bünül, Hüsnü Efendi, Ayşe Altıntaş, Atay Vural

Abstract read
In one paragraph

Article in Scientific reports, 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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0citing papers 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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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.

Kardelen AkarGraduate School of Health Sciences, Koç University, Istanbul, Turkey.
Hussein YoussefGraduate School of Health Sciences, Koç University, Istanbul, Turkey.
Furkan AkkoçDepartment of Neurology, Faculty of Medicine, Kocaeli University, Izmit, Kocaeli, Turkey.
Eser BuluşDepartment of Neurology, School of Medicine, Koç University, Istanbul, Turkey.
Sena Destan BünülDepartment of Neurology, Faculty of Medicine, Kocaeli University, Izmit, Kocaeli, Turkey.
Hüsnü EfendiDepartment of Neurology, Faculty of Medicine, Kocaeli University, Izmit, Kocaeli, Turkey.
Ayşe AltıntaşDepartment of Neurology, School of Medicine, Koç University, Istanbul, Turkey.
Atay VuralDepartment of Neurology, School of Medicine, Koç University, Istanbul, Turkey. atayvural@ku.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-efficacy therapies for multiple sclerosis (MS) have led to an increase in patients presenting with lower Expanded Disability Status Scale (EDSS) scores, necessitating robust, sensitive measures to detect early sensorimotor impairment. In this study, we aimed to identify and validate a balance-based clinical assessment tool capable of detecting subtle sensorimotor deficits in individuals with early-stage MS. This prospective case-control study enrolled 71 patients with MS and 45 matched healthy controls (HCs). Subgroup analysis included patients with early-stage MS (EDSS ≤ 2.0; n = 30) and 28 matched HCs. Participants performed ten postural balance tasks using wearable inertial sensors. We also developed a composite score integrating the most sensitive measures, which was subsequently validated in an independent external cohort. Timed 25-Foot walk (T25FW) failed to distinguish early MS from HCs, whereas eyes-closed single-leg stance (SLS) duration demonstrated superior discriminative ability (AUC = 0.75 ± 0.06; validation: AUC = 0.85 ± 0.07). Only 19% of people with early MS completed the 30-second SLS test versus 71% of HCs. SLS duration showed moderate correlation with the EDSS (r=-0.63). The composite score combining SLS, 9-Hole Peg Test and T25FW improved overall diagnostic performance (AUC = 0.82 ± 0.03, r = 0.74). The eyes-closed SLS test is a simple, no-cost tool that showed moderate to strong clinical validity for detecting early sensorimotor impairment in pwMS. Its diagnostic utility is further optimized when integrated with standard clinical assessments, supporting its potential as a pragmatic outcome measure in the era of high-efficacy therapies.

Indexed as

Multiple SclerosisPostural BalanceAdultCase-Control StudiesDisability EvaluationFemaleHumansMaleMiddle AgedProspective StudiesBalance assessmentEarly disability detectionMultiple sclerosisPostural balanceSensorimotor impairmentSingle leg stance

Identifiers

PMID42310418
PMCPMC13451282

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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.