Evidence map›Paper›PMID 38647534›Full record

SynthesisEuropean journal of physical and rehabilitation medicine2024

How robot-assisted gait training affects gait ability, balance and kinematic parameters after stroke: a systematic review and meta-analysis.

Shishi Chen, Wanying Zhang, Dingyu Wang, Zhaoming Chen

Registry-linked trialOpen access · diamondAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in European journal of physical and rehabilitation medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07057700 (Investigating the Mechanisms of Welwalk Robot in Restoring Motor Function of the Lower Extremities in Stroke Patients), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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.

NCT07057700 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Investigating the Mechanisms of Welwalk Robot in Restoring Motor Function of the Lower Extremities in Stroke Patients

TypeinterventionalSponsorRuijin HospitalRan2025 to 2027Enrolled38ConditionsStroke, Walking ImpairmentArmswelwalk training, physical therapy
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  17. 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
    Review
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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

4 authors at 3 institutions in 1 country.

Shishi ChenThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Wanying ZhangThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Dingyu WangThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Zhaoming ChenCenter for Rehabilitation Medicine, Rehabilitation and Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China - 591005167@qq.com.
The Third Affiliated Hospital of Zhejiang Chinese Medical University · CNHangzhou Medical College · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGait ability is often cited by stroke survivors. Robot-assisted gait training (RAGT) can help stroke patients with lower limb motor impairment regain motor coordination. EVIDENCE ACQUISITION: PubMed, Cochrane Library, Embase were systematically searched until September 2023, to identify randomized controlled trials presenting: stroke survivors as participants; RAGT as intervention; conventional rehabilitation as a comparator; gait assessment, through scales or quantitative parameters, as outcome measures. EVIDENCE SYNTHESIS: Twenty-seven publications involving 1167 patients met the inclusion criteria. Meta-analysis showed no significant differences in speed, cadence, spatial symmetry, and changes in joint mobility angles between the RAGT group and the control group. In addition, RAGT was associated with changes in affected side step length (SMD=0.02, 95% CI: 0.01, 0.03; P<0.0001), temporal symmetry (SMD=-0.38, 95% CI: -0.6, -0.16; P=0.0006], Six-Minute Walk Test (SMD=25.14, 95% CI: 10.19, 40.09; P=0.0010] and Functional Ambulation Categories (SMD=0.32, 95% CI: 0.01, 0.63; P=0.04). According to the PEDro scale, 19 (70.4%) studies were of high quality and eight were of moderate quality (29.6%).

conclusionsTaken together, the review synthesis showed that RAGT might have a potential role in the recovery of walking dysfunction after stroke. However, its superiority over conventional rehabilitation requires further research. Additionally, it may provide unexpected benefits that the effects of RAGT with different types or treatment protocols were further compared.

Indexed as

Gait Disorders, NeurologicPostural BalanceRoboticsStroke RehabilitationBiomechanical PhenomenaExercise TherapyGaitHumansStroke

Identifiers

PMID38647534
PMCPMC11261306
OpenAlexW4394998333

What Socratic 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 Socratic graph.