Evidence map›Paper›PMID 36544163›Full record

ArticleJournal of neuroengineering and rehabilitation2022

Effect of exoskeleton-assisted Body Weight-Supported Treadmill Training on gait function for patients with chronic stroke: a scoping review.

Rieko Yamamoto, Shun Sasaki, Wataru Kuwahara, Michiyuki Kawakami, Fuminari Kaneko

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
1.7field-weighted citation impact, top 14% 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.

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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Trial
  6. Article
  7. Robot-assisted gait training in stroke.Turkish journal of physical medicine and rehabilitation · 2024
    Review
  8. Article
  9. 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

5 authors at 2 institutions in 1 country.

Rieko YamamotoDepartment of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan.ORCID 0000-0002-6032-8257
Shun SasakiDepartment of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan.
Wataru KuwaharaDepartment of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan.
Michiyuki KawakamiDepartment of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan.ORCID 0000-0001-6459-3325
Fuminari KanekoDepartment of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shjinjuku, Tokyo, Japan. f-kaneko@tmu.ac.jp.ORCID 0000-0001-7125-0689
Keio University · JPYokohama National University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTherapeutic exercise for gait function using an exoskeleton-assisted Body Weight Supported Treadmill Training (BWSTT) has been identified as a potential intervention that allows for task-based repetitive training with appropriate kinematics while adjusting the amount of body weight support (BWS). Nonetheless, its effect on gait in patients with stroke in the chronic phase are yet to be clarified. The primary aim of this scoping review was to present the status of effectiveness of exoskeleton-assisted BWSTT in patients with chronic stroke. The secondary aims were to summarise intervention protocols, types and functions of BWSTT exoskeletal robotic devices currently used clinically. METHOD AND

resultsArticles were accessed and collected from PubMed, Ovid MEDLINE, Cochrane Central Register of Controlled Trials, and Web of Science databases, which were completed in October 2020. Articles were included if the subjects were adults with stroke in the chronic phase (onset ≥ 6 months) and if they utilised a robotic exoskeleton with treadmill and body weight support and investigated the efficacy of gait exercise. A total of 721 studies were identified, of which 11 randomised controlled trials were selected. All included studies were published from 2008 to 2020. Overall, 309 subjects were enrolled; of these, 241 (156 males, 85 females) participated. Walking outcome measures were used more often to evaluate the functional aspects of gait than to evaluate gait independence. In 10 of 11 studies, showed the effectiveness of exoskeleton robot-assisted BWSTT in terms of outcomes contributing to improved gait function. Two studies reported that exoskeleton-assisted BWSTT with combination therapy was significantly more effective in improving than exoskeleton-assisted BWSTT alone. However, no significant difference was identified between the groups; compared with therapist-assisted BWSTT groups, exoskeleton-assisted BWSTT groups did not exhibit significant change.

conclusionThis review suggests that exoskeleton-assisted BWSTT for patients with chronic stroke may be effective in improving walking function. However, the potential may be "to assist" and not because of using the robot. Further studies are required to verify its efficacy and strengthen evidence on intervention protocols.

Indexed as

Exoskeleton DeviceStrokeStroke RehabilitationAdultBody WeightExercise TherapyFemaleGaitHumansMaleWalkingBody Weight-Supported Treadmill TrainingChronic strokeExoskeletonGait exerciseRobot-assisted gait trainingScoping review

Identifiers

PMID36544163
PMCPMC9768983
OpenAlexW4312129836

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.