Evidence map›Paper›PMID 37593197›Full record

ArticleProgress in rehabilitation medicine2023

Combined Ankle Robot Training and Robot-assisted Gait Training Improved the Gait Pattern of a Patient with Chronic Traumatic Brain Injury.

Takayuki Kamimoto, Yuichiro Hosoi, Kenya Tanamachi, Rieko Yamamoto, Yuka Yamada, Tatsuya Teramae, Tomoyuki Noda, Fuminari Kaneko, Tetsuya Tsuji, Michiyuki Kawakami

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Progress in rehabilitation medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

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

  1. Pooled it
  2. 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 3 institutions in 1 country.

Takayuki KamimotoDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Yuichiro HosoiDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Kenya TanamachiDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Rieko YamamotoDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Yuka YamadaDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Tatsuya TeramaeDepartment of Brain Robot Interface, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Tomoyuki NodaDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Fuminari KanekoDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Tetsuya TsujiDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Michiyuki KawakamiDepartment of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Keio University · JPAdvanced Telecommunications Research Institute International · JPHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: : Walking disability caused by central nervous system injury often lingers. In the chronic phase, there is great need to improve walking speed and gait, even for patients who walk independently. Robot-assisted gait training (RAGT) has been widely used, but few studies have focused on improving gait patterns, and its effectiveness for motor function has been limited. This report describes the combination of "RAGT to learn the gait pattern" and "ankle robot training to improve motor function" in a patient with chronic stage brain injury. Case: : A 34-year-old woman suffered a traumatic brain injury 5 years ago. She had residual right hemiplegia [Fugl-Meyer Assessment-Lower Extremity (FMA-LE): 18 points] and mild sensory impairment, but she walked independently with a short leg brace and a cane. Her comfortable gait speed was 0.57 m/s without an orthosis, and her 6-m walk test distance was 240 m. The Gait Assessment and Intervention Tool (G.A.I.T.) score was 35 points. After hospitalization, ankle robot training was performed daily, with RAGT performed 10 times in total. Post-intervention evaluation performed on Day 28 showed: FMA-LE, 23 points; comfortable walking speed, 0.69 m/s; G.A.I.T., 27 points; and three-dimensional motion analysis showed ankle dorsiflexion improved from 3.22° to 12.59° and knee flexion improved from 1.75° to 16.54° in the swing phase. Discussion: : This is one of few studies to have examined the combination of two robots. Combining the features of each robot improved the gait pattern and motor function, even in the chronic phase.

Indexed as

chronicgait rehabilitationHALRAGTtraumatic brain injury

Identifiers

PMID37593197
PMCPMC10427343
OpenAlexW4385859913

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.