Evidence map›Paper›PMID 34595360›Full record

ArticleProgress in rehabilitation medicine2021

Gait Training after Stroke with a Wearable Robotic Device: A Case Report of Further Improvements in Walking Ability after a Recovery Plateau.

Kiyoshige Ishibashi, Kenichi Yoshikawa, Kazunori Koseki, Toshiyuki Aoyama, Daisuke Ishii, Satoshi Yamamoto, Tomoyuki Matsuda, Kazuhide Tomita, Hirotaka Mutsuzaki, Yutaka Kohno

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Progress in rehabilitation medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. 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

10 authors at 2 institutions in 1 country.

Kiyoshige IshibashiDepartment of Physical Therapy, Ibaraki Prefectural University of Health Sciences Hospital, Ibaraki, Japan.
Kenichi YoshikawaDepartment of Physical Therapy, Ibaraki Prefectural University of Health Sciences Hospital, Ibaraki, Japan.
Kazunori KosekiDepartment of Physical Therapy, Ibaraki Prefectural University of Health Sciences Hospital, Ibaraki, Japan.
Toshiyuki AoyamaDepartment of Physical Therapy, School of Health Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Daisuke IshiiCenter for Medical Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Satoshi YamamotoDepartment of Physical Therapy, School of Health Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Tomoyuki MatsudaDepartment of Physical Therapy, School of Health Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Kazuhide TomitaDepartment of Physical Therapy, School of Health Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Hirotaka MutsuzakiCenter for Medical Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Yutaka KohnoCenter for Medical Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Ibaraki Prefectural University of Health Sciences · JPChiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional rehabilitation is known to improve walking ability after stoke, but its effectiveness is often limited. Recent studies have shown that gait training combining conventional rehabilitation and robotic devices in stroke patients provides better results than conventional rehabilitation alone, suggesting that gait training with a robotic device may lead to further improvements in the walking ability recovered by conventional rehabilitation. Therefore, the aim of this report was to highlight the changes in kinematic and electromyographic data recorded during walking before and after gait training with the Honda Walking Assist Device CASE: The patient was a 42-year-old man with severe hemiplegia caused by right putaminal hemorrhage. He underwent conventional rehabilitation for 20 weeks following the onset of stroke, after which his walking speed reached a recovery plateau. Subsequently, we added robotic rehabilitation using HWAT to his regular rehabilitation regimen, which resulted in improved step length symmetry and gait endurance. We also noted changes in muscle activity patterns during walking. DISCUSSION: HWAT further improved the walking ability of a patient who had recovered with conventional rehabilitation; this improvement was accompanied by changes in muscle activity patterns during walking. The improvement in gait endurance exceeded the smallest meaningful change in stroke patients, suggesting that this improvement represented a noticeable enhancement in the quality of life in relation to mobility in the community. Further clinical trials are needed to confirm the results of the present case study.

Indexed as

electromyographygait enduranceHonda Walking Assist Device®robot assisted gait training

Identifiers

PMID34595360
PMCPMC8441009
OpenAlexW3199033874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.