Evidence map›Paper›PMID 30231916›Full record

ArticleJournal of neuroengineering and rehabilitation2018

Effects of gait support in patients with spinocerebellar degeneration by a wearable robot based on synchronization control.

Atsushi Tsukahara, Kunihiro Yoshida, Akira Matsushima, Kumiko Ajima, Chika Kuroda, Noriaki Mizukami, Minoru Hashimoto

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
1.4field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  9. Effect and optimal exercise prescription of robot-assisted gait training on lower extremity motor function in stroke patients: a network meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

7 authors at 1 institution in 1 country.

Atsushi TsukaharaDepartment of Mechanical Engineering and Robotics, Faculty of Textile Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, 386-8567, Japan. a_tsukahara@shinshu-u.ac.jp.ORCID 0000-0002-6290-8001
Kunihiro YoshidaDepartment of Brain Disease Research, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, 390-8621, Japan.
Akira MatsushimaKakeyu-Misayama Rehabilitation Center Kakeyu Hospital, 1308 Kakeyu, Ueda, 386-0396, Japan.
Kumiko AjimaInstitute for Biomedical Sciences (IBS), Interdisciplinary Cluster for Cutting Edge Research (ICCER), Shinshu University, Matsumoto, Japan.
Chika KurodaDepartment of Health Sciences, Graduate School of Medicine, Shinshu University, 3-1-1 Asahi, Matsumoto, 390-8621, Japan.
Noriaki MizukamiDepartment of Mechanical Engineering and Robotics, Faculty of Textile Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, 386-8567, Japan.
Minoru HashimotoDepartment of Mechanical Engineering and Robotics, Faculty of Textile Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, 386-8567, Japan.
Shinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinocerebellar degeneration (SCD) mainly manifests a cerebellar ataxic gait, leading to marked postural sway and the risk of falling down. Gait support using a wearable robot is expected to be an effective solution to maintaining the status quo and/or delaying symptom progression. The aim of this study was to evaluate the effects of gait support in patients with SCD by using a wearable robotic system called curara

methodsThe curara system assists both the hip and knee joints and supports the wearer's rhythmic gait using a synchronization control based on a central pattern generator. The system reflects the wearer's intended motion in response to the gait support by detecting an interactive force that is generated from slight movements of the wearer. The degree of coordinated motion between the robot and the wearer can be adjusted by modifying the synchronization gain. In this study, we provided gait support using three high-gain conditions (A, B, C) to more easily follow the wearer's movement in each joint. The synchronization gains for both the hip and knee joints (i.e., C

resultsUnder condition C, the HRs in the anteroposterior, mediolateral, and vertical directions (HR-AP, HR-ML, and HR-V) were especially high compared with those under conditions A and B. The results of the statistical analyses using repeated measures analysis of variance followed by Tukey's test showed that gait support with condition C results in a statistically significant increase in the HR-AP (2.04 ±0.52; p=0.025) and HR-V (2.06 ±0.37; p=0.032) when compared with walking without assistance from the system. In contrast, the gait speed, stride length, and cadence under condition C were no major changes in most patients, compared with the patient's walking without assistance.

conclusionsThe significantly increased HR indicates that gait support under condition C achieved smoother walking than when not wearing the power unit of the system. Consequently, we suggest that gait support using the curara system has the potential to improve walking smoothness in patients with SCD.

Indexed as

Exoskeleton DeviceWearable Electronic DevicesAgedBiomechanical PhenomenaFemaleGaitGait Disorders, NeurologicHumansMaleMechanical PhenomenaMiddle AgedSpinocerebellar DegenerationsGait supportSpinocerebellar degenerationSynchronization control

Identifiers

PMID30231916
PMCPMC6146529
OpenAlexW2891381900

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.