Evidence map›Paper›PMID 42236630›Full record

ArticleAnnals of biomedical engineering2026

Identification of Gait Patterns Associated with Paretic Propulsion and Velocity in Community-Dwelling Individuals with Stroke: A Multicenter Retrospective Study.

Naoto Mano, Kimihiko Mori, Takayuki Kuwabara, Yuta Chujo, Masanori Wakida, Tomohiro Ushikubo, Kimitaka Hase

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In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Naoto ManoDepartment of Physical Medicine and Rehabilitation, Kansai Medical University Hospital, 2-3-1 Shinmachi, Hirakata, Osaka, 573-1191, Japan. naotoman830@icloud.com.ORCID http://orcid.org/0000-0002-1770-4229
Kimihiko MoriDepartment of Physical Therapy, Faculty of Rehabilitation, Kansai Medical University, 18-89, Uyamahigashimachi, Hirakata, Osaka, 573-1136, Japan.ORCID http://orcid.org/0000-0002-3806-4400
Takayuki KuwabaraDepartment of Physical Medicine and Rehabilitation, Kansai Medical University Kori Hospital, 8-45 Korihondorimachi, Neyagawa, Osaka, 572-8551, Japan.ORCID http://orcid.org/0009-0008-6980-3502
Yuta ChujoDepartment of Physical Therapy, Faculty of Rehabilitation, Kansai Medical University, 18-89, Uyamahigashimachi, Hirakata, Osaka, 573-1136, Japan.ORCID http://orcid.org/0000-0002-9356-1151
Masanori WakidaDepartment of Physical Therapy, Faculty of Rehabilitation, Kansai Medical University, 18-89, Uyamahigashimachi, Hirakata, Osaka, 573-1136, Japan.ORCID http://orcid.org/0000-0002-6582-2203
Tomohiro UshikuboDepartment of AI Research and Development, Anima Corporation, 3-65-1, Shimoishihara, Chofu, Tokyo, 182-0034, Japan.ORCID http://orcid.org/0009-0006-1221-4438
Kimitaka HaseDepartment of Physical Medicine and Rehabilitation, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, 573-1010, Japan.ORCID http://orcid.org/0000-0002-0379-6513

Funding

Japan Society for the Promotion of Science 21H03311Japan Society for the Promotion of Science 23K16560
6 · The paper itself

Abstract

purposeDiverse gait patterns in individuals with stroke require personalized rehabilitation to improve paretic propulsion (Pp), which reflects gait function. However, the gait characteristics associated with Pp have not been fully elucidated. This study aimed to identify gait characteristics in the paretic and non-paretic limbs associated with Pp, categorize gait patterns, and extract gait disease-specific characteristics related to Pp for each cluster.

methodsSeventy-seven community-dwelling post-stroke patients and 101 healthy volunteers underwent three-dimensional gait analysis. Using Mahalanobis distance and Markov Chain Monte Carlo sampling, disease-specific gait characteristics associated with Pp were extracted and subsequently analyzed using multiple regression, path analysis, and k-means clustering. Gait characteristics related to Pp were identified in each cluster of the study.

resultsThe paretic shank-to-vertical angle (SVA) at terminal stance, paretic maximum knee flexion angle, paretic ankle plantarflexion angle at toe-off, and non-paretic knee extension angle at initial contact were associated with Pp (R

conclusionParetic SVA and ankle plantarflexion angle may be associated with Pp and gait speed. The gait characteristics associated with Pp and gait speed may differ depending on ambulation patterns.

Indexed as

Gait analysisHemiparesisKinematicsPropulsionStroke

Identifiers

PMID42236630

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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.