Evidence map›Paper›PMID 39710893›Full record

ArticleJournal of movement disorders2025

Spatiotemporal Gait Parameters During Turning and Imbalance in Parkinson's Disease: Video-Based Analysis From a Single Camera.

HoYoung Jeon, Jung Hwan Shin, Ri Yu, Min Kyung Kang, Seungmin Lee, Seoyeon Kim, Bora Jin, Kyung Ah Woo, Han-Joon Kim, Beomseok Jeon

Abstract read
In one paragraph

Article in Journal of movement disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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.

HoYoung JeonDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jung Hwan ShinDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Ri YuDepartment of Software and Computer Engineering, Ajou University, Suwon, Korea.
Min Kyung KangDepartment of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea.
Seungmin LeeDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Seoyeon KimDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Bora JinDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Kyung Ah WooDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Han-Joon KimDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Beomseok JeonDepartment of Neurology, Chung-Ang University Health Care System Hyundae Hospital, Namyangju, Korea.

Funding

Institute of Information & communications Technology Planning & Evaluation IITP-2025-RS-2023-00255968Ministry of Science and ICTNational Research Foundation of Korea 2021R1C1C1011077National Research Foundation of Korea RS-2023-00262880
6 · The paper itself

Abstract

objectiveThis study aims to objectively evaluate turning gait parameters in Parkinson's disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance.

methodsWe prospectively enrolled PD patients for clinical assessment, balance analysis and gait with 180º turning. Spatiotemporal gait parameters during turning were derived using video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations.

resultsA total of 64 PD patients were enrolled. The PD patients with higher mHY stages (≥2.5) had significantly longer turning times, greater numbers of steps, wider step bases and less variability in step length during turns. COP oscillations were positively correlated with the mean turning time on both the anterior-posterior and right-left axes.

conclusionSpatiotemporal gait parameter during turning, derived from video-based gait analysis, may represent apromising biomarker for monitoring postural instability in PD patients.

Indexed as

GaitParkinson’s diseasePostural instabilityTurningVideo-based analysis

Identifiers

PMID39710893
PMCPMC11824541

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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.