ArticleAnnals of Indian Academy of Neurology2023
Gait Training with Robotic Exoskeleton Assisted Rehabilitation System in Patients with Incomplete Traumatic and Non-Traumatic Spinal Cord Injury: A Pilot Study and Review of Literature.
Article in Annals of Indian Academy of Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Meta-analysis of the effects of lower extremity exoskeleton robot on the improvement of walking ability and curative effect in SCI patients.Frontiers in neurorobotics · 2026Pooled it
- Effects of an exoskeleton robot on motor function in patients with spinal cord injuries: a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- Effect of LokomatMedical sciences (Basel, Switzerland) · 2025Article
- Gait training using powered robotic exoskeleton for a person with spinal cord injury: a case report.Spinal cord series and cases · 2025Article
- 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
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This pilot study aimed to assess the safety and feasibility of robotic gait training and its' effects on gait parameters in individuals with incomplete motor spinal cord injury-SCI (AIS C and AIS D). Methods: The study was conducted in a tertiary research center with indigenously developed Robotic Exoskeleton Assisted Rehabilitation Systems (REARS). Primary outcome measures used were the ten-meter walk test (10MWT), two-minute walk test (2MWT), six-minute walk test (6MWT), the timed up and go test (TUG), the walking index for spinal cord injury II (WISCI II), and the spinal cord independence measure version III (SCIM III) at baseline, 12 sessions, and after 24 sessions (endpoint) of training. At baseline, individuals who could not perform 10MWT, TUG, and 6MWT were grouped in G1 for analysis. Participants in G2 were able to perform all the tests at baseline. Results: The median (interquartile range [IQR]) age and duration of illness was 41 (24) years and 167 (147) days, respectively. Five out of seven participants had non-traumatic etiology and five were males. After completing training, participants in G1 were able to complete the 10MWT, 6MWT, and TUG, and the mean (SD) scores were 0.2 m/s (0.2), 66.3 m (61.2) and 113.3 s (117.4), respectively. Participants in G2 could perform the TUG test 13.5 s faster at the end of the study (11.9 s vs 25.4 s). The minimum clinically important difference (MCID) for TUG was 10.8 s. In G2, the pre-post training change in mean score of 10MWT and 6MWT was 0.11 m/s and 42 m, respectively; these values approached the MCID for these measures. None of the participants had any injury during training. Conclusions: Robotic gait training with REARS is safe and feasible. Such training may lead to an improvement in balance and walking capacity.
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