Evidence map›Paper›PMID 40140968›Full record

SynthesisSystematic reviews2025

The effect of lower limb rehabilitation robot on lower limb -motor function in stroke patients: a systematic review and meta-analysis.

Qing-Hong Hao, Mi-Mi Qiu, Jun Wang, Yang Tu, Zhi-Hai Lv, Tian-Min Zhu

Registry-linked trialAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Systematic reviews, 2025. 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 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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.

NCT07057700 nanot yet recruitingnot on this map

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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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.

Qing-Hong HaoDepartment of Child Rehabilitation, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China.
Mi-Mi QiuDepartment of Child Healthcare, Xingyi People's Hospital, Guizhou, 562400, China.
Jun WangDepartment of Child-Care Center, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610091, China.
Yang TuDepartment of Traditional Chinese Medicine and Western Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Zhi-Hai LvDepartment of Child Rehabilitation, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, China. 13613602038@163.com.
Tian-Min ZhuDepartment of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China. tianminzhu@cdutcm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe assessment and enhancement of lower limb motor function in hemiplegic patients is of paramount importance. The emergence of lower limb rehabilitation robots offers a promising avenue for improving motor function in these patients, addressing the limitations associated with traditional rehabilitation therapies. However, a consensus regarding their clinical effectiveness remains elusive. Consequently, the objective of this study is to systematically review the rehabilitation efficacy of lower limb rehabilitation robots on motor function in post-stroke hemiplegic patients, thereby providing robust clinical evidence to support their promotion and utilization.

methodsEight databases were examined between the start and April 2024. Patients with hemiplegia were included in randomized controlled trials to examine the effects of a lower limb rehabilitation robot on their motor function. Data extraction, risk of bias assessment, and study screening were carried out independently by two reviewers. Stata and Review Manager 5.3 were used for the meta-analysis. Sensitivity analysis was used to determine how reliable the findings were. To examine the origins of heterogeneity, meta-regression and subgroup analysis were employed.

resultsThis review comprised a total of 41 studies with 3279 participants. In one or more domains, the majority of the studies were rated as having a low or uncertain risk of bias. The study's findings demonstrated that the lower limb walking function, balance function, and ability to do activities of daily living improved more in the group receiving conventional rehabilitation (CR) + robot-assisted therapy (RT) than in the CR group. The Berg Balance Scale (BBS), which measures balance function, and the Fugl-Meyer scale (FMA), which measures lower limb motor function, were both better in the RT group than in the CR group. Sensitivity analysis proved that the findings were reliable. The sample size and publication years were found to be somewhat responsible for the heterogeneity, according to meta-regression analysis and subgroup analysis.

conclusionIn stroke patients with hemiplegia, the lower limb rehabilitation robot has demonstrated a certain level of clinical success in regaining lower limb function.

Indexed as

HemiplegiaLower ExtremityRoboticsStrokeStroke RehabilitationHumansRandomized Controlled Trials as TopicRecovery of FunctionLower limb rehabilitation robotMeta-analysisMotor functionStrokeSystematic review

Identifiers

PMID40140968
PMCPMC11938605

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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 OpenQuestion graph.