Evidence map›Paper›PMID 41256778›Full record

ArticleTurkish journal of physical medicine and rehabilitation2025

Influence of therapist supervision and bodyweight support on gait training in stroke patients.

Park Chan Hyun, Shin Ho Jeong, Son Ho Hee

Abstract read
In one paragraph

Article in Turkish journal of physical medicine and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

3 authors.

Park Chan HyunDepartment of Physical Therapy, Graduate School, Catholic University of Pusan, Republic of Korea.ORCID 0000-0001-7616-1546
Shin Ho JeongDepartment of Physical Therapy, Graduate School, Catholic University of Pusan, Republic of Korea.ORCID 0000-0002-8098-5772
Son Ho HeeDepartment of Physical Therapy, College of Health Science, Catholic University of Pusan, Republic of Korea.ORCID 0000-0003-0905-6484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to investigate the effects of bodyweight support and therapist supervision on gait parameters and vital signs during overground gait training in stroke patients. Patients and methods: Between August 2023 and September 2023, a total of 18 stroke patients (10 males, 8 females; mean age: 61.2±12.0 years; range, 32 to 81 years) with hemiparesis were included in this factorial-design study. The patients underwent three different walking conditions: supervised bodyweight support (SBS), unsupervised bodyweight support (UBS), and supervised training without bodyweight support (SWBS). Gait parameters, including velocity, cadence, gait distance, gait cycle, stride length, step length, and single limb support, as well as vital signs (pulse rate and SpO2), were measured and compared using the 4-m walking test (4MWT) and 2-min walking test (2MWT). Results: Twelve patients had an ischemic stroke, while six had a hemorrhagic stroke. The mean onset period was 9.61±5.96 months. Eight patients had right-sided paralysis, and 10 patients had left-sided paralysis. There were no significant differences in gait parameters or vital signs during the 4MWT and 2MWT among the SBS, UBS, and SWBS groups (p>0.05 for all). Conclusion: Gait training using therapist supervised walking and bodyweight support may both be beneficial for stroke patients. However, incorporating both conditions into an intervention may not be efficient in terms of cost, space, and personnel utilization.

Indexed as

Gaithemiplegiaparesisrehabilitationstrokeweight-bearing.

Identifiers

PMID41256778
PMCPMC12621572

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Registered trials

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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.