Evidence map›Paper›PMID 40442684›Full record

SynthesisJournal of neuroengineering and rehabilitation2025

Comparative efficacy of robotic exoskeleton and conventional gait training in patients with spinal cord injury: a meta-analysis of randomized controlled trials.

Shengye Liu, Fangyuan Chen, Jianqiao Yin, Guanqi Wang, Liyu Yang

Abstract readComparative StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 3 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

5 authors.

Shengye Liu *Department of Orthopedics, Shengjing Hospital of China Medical University, Sanhao Street 36, Shenyang, Liaoning, People's Republic of China.
Fangyuan Chen *Department of Rehabilitation, Shengjing Hospital of China Medical University, Puhe Road 16, Shenyang, Liaoning, People's Republic of China.
Jianqiao Yin *Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.
Guanqi WangDepartment of Rehabilitation, Shengjing Hospital of China Medical University, Puhe Road 16, Shenyang, Liaoning, People's Republic of China.
Liyu YangDepartment of Orthopedics, Shengjing Hospital of China Medical University, Sanhao Street 36, Shenyang, Liaoning, People's Republic of China. yanglycmu@126.com.

Funding

345 Talent Project of Shengjing Hospital 30C&30DLiaoning Province Science and Technology Plan Joint Program (Natural Science Foundation-General Project) 2024-MSLH-559Liaoning Province Science and Technology Plan Joint Program (Natural Science Foundation-General Project) 2024-MSLH-579
6 · The paper itself

Abstract

objectiveThe purpose of this meta-analysis was to investigate the effects of Robotic exoskeleton gait training (REGT) on lower limb mobility, walking balance, functional scores and respiratory function in patients with spinal cord injury (SCI). DATA SOURCES: The PubMed, Embase, Cochrane Library databases were systematically searched from inception until December 24, 2024. STUDY SELECTION: Eligible randomized controlled trials contained information on the population (SCI), intervention (REGT), and outcomes (walking speed and distance, walking balance, functional scores for SCI rehabilitation, respiratory function). Participants in the REGT intervention group were compared with those in conventional physical gait training (CPT) groups. Two independent researchers conducted the research,screened the articles, and assessed their eligibility. DATA EXTRACTION: Two independent researchers extracted key information from each eligible study. The authors' names, year of publication, setting, total sample size, REGT, CPT training schedule, baseline/mean difference (MD), and 95% confidence interval (CI) were extracted using a standardized form, and the methodological quality was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) system. DATA SYNTHESIS: Of 595 studies identified, 15 randomized controlled trials (n = 579) were included for meta-analysis. Compared with conventional physical gait training (CPT), REGT showed no significant efficacy in walking speed (10-Meter Walk Test, WMD (95%CI) = - 0.03 (- 0.06, 0.00) m/s, P = 0.08) and walking distance, (6-Minute Walk Test, WMD (95% CI) = -1.83 (- 14.48, 10.83) meters, P = 0.78). REGT showed statistically significant efficacy in walking stability (Timed Up and Go, WMD (95%CI) = 6.62 (0.35, 12.88) s, P = 0.04) and functional scores such as Walking Index for Spinal Cord Injury Version II (WMD (95%CI) = 2.17 (1.05, 3.29), P = 0.0001) and Lower Extremity Motor Score (WMD (95%CI) = 1.33 (0.58, 2.07), P = 0.0005). Additional Significant efficacy was also found in terms of respiratory function (forced expiratory volume in one second, WMD (95%CI) = 0.60 (0.05, 1.16) L, P = 0.03).

conclusionsThis meta-analysis discovered the evidence that robotic exoskeleton gait training can improve the walking balance, strength of lower limbs, functional scores and respiratory function in the patients with spinal cord injury (SCI) compared to conventional gait training (CPT). No obvious evidence showed that REGT has more advantages than CPT in improving walking speed and distance. REGT combined with CPT are more recommended in the discovery of walking speed and distance of patients above 6 months after SCI.

Indexed as

Exercise TherapyExoskeleton DeviceGaitGait Disorders, NeurologicSpinal Cord InjuriesHumansPostural BalanceRandomized Controlled Trials as TopicRoboticsTreatment OutcomeGait rehabilitationMeta-analysisRobotic exoskeleton gait trainingSpinal cord injury

Identifiers

PMID40442684
PMCPMC12121209

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.