Evidence map›Paper›PMID 40110536›Full record

SynthesisFrontiers in human neuroscience2025

Effect of robot-assisted training for lower limb rehabilitation on lower limb function in stroke patients: a systematic review and meta-analysis.

Hongyao Wang, Haifei Shen, Yi Han, Wenlu Zhou, Junjie Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
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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

5 authors.

Hongyao WangSchool of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Haifei ShenSchool of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yi HanSchool of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Wenlu ZhouSchool of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Junjie WangSchool of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The effectiveness of lower extremity rehabilitation robots in rehabilitating stroke patients is still controversial. With this systematic review, the aim is to analyze whether the assisted training of the lower limb rehabilitation robot is more effective in promoting the rehabilitation of lower limb function in stroke patients compared with traditional physical therapy. Methods: We conducted a thorough search of nine databases for relevant randomized controlled trials published between the time of their construction and February 2024. The Cochrane Collaboration tool was used to assess the risk of bias in each included literature, and meta-analyses and subgroup analyses were carried out with Revman 5.4 software. This study followed the PRIMA reporting statement provided by EQUATOR. Results: The meta-analysis includes 12 articles and 651 patients. Lower limb rehabilitation robot-assisted training significantly improved lower limb motor function, walking ability, and lower limb ability to balance in stroke patients. However, the effect on gait coordination was not statistically significant. Conclusion: Robot-assisted training for lower limb rehabilitation may considerably enhance motor function, walking capacity, and balance function in stroke patients while also providing a novel option for patients to recuperate. Systematic review registration: http://www.crd.york.ac.uk/prospero/#recordDetails, identifier CRD-42024504930.

Indexed as

lower limb functionmeta-analysisrehabilitationrobot-assistedstrokesystematic review

Identifiers

PMID40110536
PMCPMC11919835

What OpenQuestion holds

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Registered trials

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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.