Evidence map›Paper›PMID 39212896›Full record

ArticleMedical & biological engineering & computing2025

Evaluation of instability in patients with chronic vestibular syndrome using dynamic stability indicators.

Yingnan Ma, Xing Gao, Li Wang, Ziyang Lyu, Fei Shen, Haijun Niu

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Article in Medical & biological engineering & computing, 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingnan MaSchool of Biological Science and Medical Engineering, Beihang University, Haidian District, No. 37, Xueyuan Road, Beijing, 100191, China.
Xing GaoBeijing Academy of Science and Technology, Beijing, 100035, China.
Li WangSchool of Biological Science and Medical Engineering, Beihang University, Haidian District, No. 37, Xueyuan Road, Beijing, 100191, China.
Ziyang LyuBeijing Academy of Science and Technology, Beijing, 100035, China.
Fei ShenSchool of Biological Science and Medical Engineering, Beihang University, Haidian District, No. 37, Xueyuan Road, Beijing, 100191, China.
Haijun NiuSchool of Biological Science and Medical Engineering, Beihang University, Haidian District, No. 37, Xueyuan Road, Beijing, 100191, China. hjniu@buaa.edu.cn.ORCID http://orcid.org/0000-0001-8891-6846

Funding

Beijing Academy of Science and Technology Financial Project 1020239718KF001-19Beijing Municipal Science & Technology Commission Project 112022KF0145National Natural Science Foundation of China 32071315the National Key Research and Development Program of China 2020YFC0122201
6 · The paper itself

Abstract

Gait abnormalities are common in patients with chronic vestibular syndrome (CVS), and stability analysis and gait feature recognition in CVS patients have clinical significance for diagnosing CVS. This study explored two-dimensional dynamic stability indicators for evaluating gait instability in patients with CVS. The Center of Mass acceleration (COMa) peak of CVS patients was significantly faster than that of the control group (p < 0.05), closer to the back of the body, and slower at the Toe-off (TO) moment, which enlarged the Center of Mass position-velocity combination proportion within the Region of Velocity Stability (ROSv). The sensitivity, specificity, and accuracy of the Center of Mass velocity (COMv) or COMa peaks were 75.0%, 93.7%, and 90.2% for CVS patients and control groups, respectively. The two-dimensional ROSv parameters improved sensitivity, specificity, and accuracy in judging gait instability in patients over traditional dynamic stability parameters. Dynamic stability parameters quantitatively described the differences in dynamic stability during walking between patients with different degrees of CVS and those in the control group. As CVS impairment increases, the patient's dynamic stability decreases. This study provides a reference for the quantitative evaluation of gait stability in patients with CVS.

Indexed as

GaitVestibular DiseasesAdultAgedCase-Control StudiesChronic DiseaseFemaleGait AnalysisHumansMaleMiddle AgedPostural BalanceSyndromeChronic vestibular syndromeDynamic stabilityEvaluation of instability

Identifiers

PMID39212896

What OpenQuestion holds

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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.