Evidence map›Paper›PMID 26644642›Full record

ArticleJournal of physical therapy science2015

Effects of robot-assisted gait training on the balance and gait of chronic stroke patients: focus on dependent ambulators.

Duk Youn Cho, Si-Woon Park, Min Jin Lee, Dae Sung Park, Eun Joo Kim

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Journal of physical therapy science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03805009 (Efficacy of End-Effector Robot-Assisted Gait Training in Subacute Stroke Patients), which is not on this map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
5.7field-weighted citation impact, top 4% of its field
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.

NCT03805009 nacompletednot on this map

Efficacy of End-Effector Robot-Assisted Gait Training in Subacute Stroke Patients: Clinical and Gait Outcomes

TypeinterventionalSponsorIRCCS San Raffaele RomaRan2013 to 2018Enrolled26ConditionsSevere Stroke, Acute Stroke, Mild Stroke, Central Nervous System DiseasesArmsRobot-Assisted Gait Training (RAGT)
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2020
    Pooled it
  3. Pooled it
  4. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2017
    Pooled it
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  6. Effects of Robot-Assisted Gait Training with Body Weight Support on Gait and Balance in Stroke Patients.International journal of environmental research and public health · 2022
    Trial
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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

5 authors at 3 institutions in 1 country.

Duk Youn ChoKorea National Rehabilitation Center Research Institute, National Rehabilitation Center, Republic of Korea.
Si-Woon ParkDepartment of Rehabilitation Medicine, Catholic Kwandong University International St Mary's Hospital, Republic of Korea.
Min Jin LeeKorea National Rehabilitation Center Research Institute, National Rehabilitation Center, Republic of Korea.
Dae Sung ParkDepartment of Physical Therapy, Konyang University, Republic of Korea.
Eun Joo KimDepartment of Rehabilitation Medicine, National Rehabilitation Hospital, National Rehabilitation Center, Republic of Korea.
National Rehabilitation Center · KRCatholic Kwandong University International St. Mary's Hospital · KRKonyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The purpose of this study was to confirm the effect of robot-assisted gait training on the balance and gait ability of stroke patients who were dependent ambulators. [Subjects and Methods] Twenty stroke patients participated in this study. The participants were allocated to either group 1, which received robot-assisted gait training for 4 weeks followed by conventional physical therapy for 4 weeks, or group 2, which received the same treatments in the reverse order. Robot-assisted gait training was conducted for 30 min, 3 times a week for 4 weeks. The Berg Balance Scale, Modified Functional Reach Test, Functional Ambulation Category, Modified Ashworth Scale, Fugl-Meyer Assessment, Motricity Index, and Modified Barthel Index were assessed before and after treatment. To confirm the characteristics of patients who showed a significant increase in Berg Balance Scale after robot-assisted gait training as compared with physical therapy, subgroup analysis was conducted. [Results] Only lateral reaching and the Functional Ambulation Category were significantly increased following robot-assisted gait training. Subscale analyses identified 3 patient subgroups that responded well to robot-assisted gait training: a subgroup with hemiplegia, a subgroup in which the guidance force needed to be decreased to needed to be decreased to ≤45%, and a subgroup in which weight bearing was decreased to ≤21%. [Conclusion] The present study showed that robot-assisted gait training is not only effective in improving balance and gait performance but also improves trunk balance and motor skills required by high-severity stroke patients to perform activities daily living. Moreover, subscale analyses identified subgroups that responded well to robot-assisted gait training.

Indexed as

GaitRoboticsStroke

Identifiers

PMID26644642
PMCPMC4668133
OpenAlexW2284727328

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.