Evidence map›Paper›PMID 39312061›Full record

ReviewNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Effect and optimal exercise prescription of robot-assisted gait training on lower extremity motor function in stroke patients: a network meta-analysis.

Haiping Huang, Xinyi Su, Beisi Zheng, Manting Cao, Yuqian Zhang, Jianer Chen

Abstract readReviewNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Review in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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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

6 authors.

Haiping HuangThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xinyi SuThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Beisi ZhengThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Manting CaoThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yuqian ZhangThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jianer ChenThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China. chenje@zcmu.edu.cn.ORCID http://orcid.org/0000-0002-7101-208X

Funding

Construct Program of the Key Discipline in Zhejiang Rehabilitation Medical Center, China ZKXK02scientific research project of Zhejiang Rehabilitation Medical Center ZKJC2203
6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the effectiveness of robot-assisted gait training (RAGT) and explore the optimal exercise prescription using a network meta-analysis approach. DATA SOURCES: A comprehensive search was conducted on randomized controlled trials comparing robotic and conventional rehabilitation published up to January 2024 in PubMed, Web of Science, Cochrane Library, Embase, CNKI, VIP, Wanfang, and SinoMed databases. REVIEW

methodsThe evaluation parameters included Fugl-Meyer Assessment of Lower Extremity (FMA-LE), Functional Ambulation Category (FAC), Berg Balance Scale (BBS), and 6-Minute Walk Test (6MWT). Two investigators independently performed study screening, data extraction, and bias evaluation. Data were merged, analyzed, and plotted using Review Manager 5.4.1 and Stata 18.0 software.

resultsA total of 21 articles involving 822 subjects were included in the analysis. RAGT positively influenced FMA-LE score (MD = 3.74, 95%CI 3.02-4.46, P < 0.05), FAC score (MD = 0.31, 95%CI 0.1-0.53, P < 0.05), BBS score (MD = 3.63, 95%CI 2.46-4.80, P < 0.05), and 6MWT score (MD = 23.73, 95%CI 15.31-32.14, P < 0.05). Surface under the cumulative ranking curve (SUCRA) values indicated that an exercise time of 40-60 min/training (97.4%), exercise frequency of 2-5 times/week (87.6%), and exercise duration of 8-12 weeks (78.1%) were most effective in improving the FMA-LE score.

conclusionsRAGT can effectively improve lower limb motor function, walking function, balance function, and walking endurance in stroke patients. For optimal improvement in FMA-LE score, an exercise time of 40-60 min/training, exercise frequency of 2-5 times/week, and exercise duration of 8-12 weeks are recommended.

Indexed as

Exercise TherapyGaitLower ExtremityRoboticsStrokeStroke RehabilitationHumansRandomized Controlled Trials as TopicLower limbNetwork meta-analysisRoboticsStroke

Identifiers

PMID39312061

What OpenQuestion holds

Textmetadata
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.