SynthesisFrontiers in neurology2022
Comparison of Efficacy of Lokomat and Wearable Exoskeleton-Assisted Gait Training in People With Spinal Cord Injury: A Systematic Review and Network Meta-Analysis.
Synthesis in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07767955 (Healthcare Professionals' Satisfaction With Various Exoskeleton Models), which is not on this map. Cited by 26 papers, 5 of them syntheses that pooled 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.
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.
Healthcare Professionals' Satisfaction With Various Exoskeleton Models
Who cites it
26 citing papers in PubMed, 5 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- The evidence landscape, clinical role, and mechanisms of action of robot-assisted injury treatment: a systematic review.Journal of robotic surgery · 2026Pooled it
- The effect of device-based neuromodulation on the motor recovery of patients with spinal cord injury.Spinal cord · 2025Pooled it
- Comparative efficacy of robotic exoskeleton and conventional gait training in patients with spinal cord injury: a meta-analysis of randomized controlled trials.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Effectiveness of robotic rehabilitation for gait and balance in people with multiple sclerosis: a systematic review.Journal of neurology · 2024Pooled it
- Can robot-assisted gait training improve walking and activity abilities in persons with spinal cord injury? A systematic review and meta-analysis of randomized controlled trials.Frontiers in neurologyPooled it
- Clinical outcomes of rehabilitation with a robotic anthropomorphic exoskeleton in patients with motor-incomplete spinal cord injury: a multicenter randomized controlled trial.European journal of physical and rehabilitation medicine · 2026Trial
- The impact of robot-assisted training on gait, balance, and endurance in patients with partial spinal cord injuries: insights from rehabilitation.Journal of neuroengineering and rehabilitation · 2026Trial
- Trial
- Walking rehabilitation in incomplete spinal cord injury: evaluating the impact of robotic exoskeleton-assisted training.Biomedical engineering online · 2026Trial
- Exoskeleton-based training improves walking independence in incomplete spinal cord injury patients: results from a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2023Trial
- Hybrid Assistive Limb in orthopaedic rehabilitation: cybernic treatment developed in Japan for neuromotor functional restoration.International orthopaedics · 2026Review
- Adaptive Control of Lower-Limb Assistive Exoskeleton for Rehabilitation Using Deep Reinforcement Learning.Sensors (Basel, Switzerland) · 2026Article
- Clinical trials of GPE-based muscle support algorithm for robotic hip exoskeleton: a pilot study.Scientific reports · 2025Article
- Wearable Robots for Rehabilitation and Assistance of Gait: A Narrative Review.Annals of rehabilitation medicine · 2025Article
- Lokomat-Assisted Robotic Rehabilitation in Spinal Cord Injury: A Biomechanical and Machine Learning Evaluation of Functional Symmetry and Predictive Factors.Bioengineering (Basel, Switzerland) · 2025Article
- The use of exoskeleton robotic training on lower extremity function in spinal cord injuries: A systematic review.Journal of orthopaedics · 2025Review
- Feasibility and Effects of a Gait Assistance and Gait Resistance Training Program Using a Walking-Assist Wearable Robot for Community-Dwelling Older Adults: Single-Group, Pre-, and Posttest Study.JMIR mHealth and uHealth · 2025Article
- Article
- Robot-Assisted Gait Training in Individuals With Spinal Cord Injury: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Annals of rehabilitation medicine · 2024Article
- Effects of a Gait Training Program on Spinal Cord Injury Patients: A Single-Group Prospective Cohort Study.Journal of clinical medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Lokomat and wearable exoskeleton-assisted walking (EAW) have not been directly compared previously. To conduct a network meta-analysis of randomized and non-randomized controlled trials to assess locomotor abilities achieved with two different types of robotic-assisted gait training (RAGT) program in persons with spinal cord injury (SCI). Methods: Three electronic databases, namely, PubMed, Embase, and the Cochrane Library, were systematically searched for randomized and non-randomized controlled trials published before August 2021, which assessed locomotor abilities after RAGT. Results: Of 319 studies identified for this review, 12 studies were eligible and included in our analysis. Studies from 2013 to 2021 were covered and contained 353 valid data points (N-353) on patients with SCI receiving wearable EWA and Lokomat training. In the case of wearable EAW, the 10-m walk test (10-MWT) distance and speed scores significantly increased [distance: 0.85 (95% CI = 0.35, 1.34); speed: -1.76 (95% CI = -2.79, -0.73)]. The 6-min walk test (6-MWT) distance [-1.39 (95% CI = -2.01, -0.77)] and the timed up and go (TUG) test significantly increased [(1.19 (95% CI = 0.74, 1.64)], but no significant difference was observed in the walking index for spinal cord injury (WISCI-II) [-0.33 (95% CI = -0.79, 0.13)]. Among the patients using Lokomat, the 10-MWT-distance score significantly increased [-0.08 (95% CI = -0.14, -0.03)] and a significant increase in the WISCI-II was found [1.77 (95% CI = 0.23, 3.31)]. The result of network meta-analysis showed that the probability of wearable EAW to rank first and that of Lokomat to rank second was 89 and 47%, respectively, in the 10-MWT speed score, while that of Lokomat to rank first and wearable EAW to rank second was 73 and 63% in the WISCI-II scores. Conclusion: Lokomat and wearable EAW had effects on the performance of locomotion abilities, namely, distance, speed, and function. Wearable EAW might lead to better outcomes in walking speed compared with that in the case of Lokomat.
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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.