Evidence map›Paper›PMID 39300491›Full record

SynthesisJournal of neuroengineering and rehabilitation2024

Efficacy of robot-assisted gait training on lower extremity function in subacute stroke patients: a systematic review and meta-analysis.

Miao-Miao Hu, Shan Wang, Cai-Qin Wu, Kun-Peng Li, Zhao-Hui Geng, Guo-Hui Xu, Lu Dong

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 21 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 7 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.

NCT06910254 nacompletednot on this mapstarted 2025, after this paper: background citation

Effects of Overground Robot-Assisted Gait Training and Recumbent Bicycle Training on Muscle Characteristics, Falls Efficacy, and Physical Function in Patients With Subacute Stroke-Related Sarcopenia

TypeinterventionalSponsorSahmyook UniversityRan2025 to 2025Enrolled53ConditionsStroke, Sarcopenia, Muscle Atrophy, Mobility LimitationArmsOverground Robot-Assisted Gait Training (o-RAGT), Recumbent Bicycle Training
NCT07250425 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Development of a Novel, Cost-Effective Gait Training Device Utilized at Home for the Neurological Patient Population

TypeinterventionalSponsorHealing InnovationsRan2026 to 2026Enrolled20ConditionsStroke, Neurological Diseases or Conditions, Hemiparesis, Poststroke/CVAArmsRise&Walk InHome by Healing Innovations
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 7 syntheses or guidelines 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

7 authors.

Miao-Miao Hu *School of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China.
Shan Wang *School of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China.
Cai-Qin WuSchool of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China.
Kun-Peng LiSchool of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China.
Zhao-Hui GengSchool of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China.
Guo-Hui XuHuadong Hospital Affiliated to Fudan University, 221 West Yan'an Road, Jing'an District, Shanghai, 200040, China. pudongxgh@163.com.
Lu DongSchool of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai, 201203, China. donglux@shutcm.edu.cn.

Funding

National Natural Science Foundation of China 72104145Rehabilitation Medicine Research Center of Huadong Hospital LCZX2206Shanghai Clinical Research Center for Rehabilitation Medicine 21MC1930200Shanghai University of Traditional Chinese Medicine KECJ2024015
6 · The paper itself

Abstract

backgroundRobot-Assisted Gait Training (RAGT) is a novel technology widely employed in the field of neurological rehabilitation for patients with subacute stroke. However, the effectiveness of RAGT compared to conventional gait training (CGT) in improving lower extremity function remains a topic of debate. This study aimed to investigate and compare the effects of RAGT and CGT on lower extremity movement in patients with subacute stroke.

methodsComprehensive search was conducted across multiple databases, including PubMed, Web of Science, Cochrane Library, EBSCO, Embase, Scopus, China National Knowledge Infrastructure, Wan Fang, SinoMed and Vip Journal Integration Platform. The database retrieval was performed up until July 9, 2024. Meta-analysis was conducted using RevMan 5.4 software.

resultsA total of 24 RCTs were included in the analysis. The results indicate that, compared with CGT, RAGT led to significant improvements in the Fugl-Meyer Assessment for Lower Extremity [MD = 2.10, 95%CI (0.62, 3.59), P = 0.005], Functional Ambulation Category[MD = 0.44, 95%CI (0.23, 0.65), P < 0.001], Berg Balance Scale [MD = 4.55, 95%CI (3.00, 6.11), P < 0.001], Timed Up and Go test [MD = -4.05, 95%CI (-5.12, -2.98), P < 0.001], and 6-Minute Walk Test [MD = 30.66, 95%CI (22.36, 38.97), P < 0.001] for patients with subacute stroke. However, it did not show a significant effect on the 10-Meter Walk Test [MD = 0.06, 95%CI (-0.01, 0.14), P = 0.08].

conclusionsThis study provides evidence that RAGT can enhance lower extremity function, balance function, walking ability, and endurance levels compared to CGT. However, the quality of evidence for improvements in gait speed remains low.

Indexed as

Lower ExtremityRoboticsStroke RehabilitationExercise TherapyGaitGait Disorders, NeurologicHumansStrokeGaitLower ExtremityMeta-analysisRoboticsStrokeWalking Speed

Identifiers

PMID39300491
PMCPMC11411785

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.