Trial reportJournal of neuroengineering and rehabilitation2014
Prediction of gait recovery in spinal cord injured individuals trained with robotic gait orthosis.
Trial report in Journal of neuroengineering and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 7 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
18 citing papers in PubMed, 7 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Effects of an exoskeleton robot on motor function in patients with spinal cord injuries: a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- The effect of robot-assisted gait training for patients with spinal cord injury: a systematic review and meta-analysis.Frontiers in neuroscience · 2023Pooled it
- Walking speed is not the best outcome to evaluate the effect of robotic assisted gait training in people with motor incomplete Spinal Cord Injury: A Systematic Review with meta-analysis.The journal of spinal cord medicine · 2019Pooled it
- The effects of robot assisted gait training on temporal-spatial characteristics of people with spinal cord injuries: A systematic review.The journal of spinal cord medicine · 2018Pooled it
- Robotic assisted gait as a tool for rehabilitation of individuals with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2017Pooled it
- Pooled it
- Robot-assisted gait training (Lokomat) improves walking function and activity in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2017Pooled it
- Trial
- Trial
- Effectiveness of Body Weight-Supported Gait Training on Gait and Balance for Motor-Incomplete Spinal Cord Injuries: A Systematic Review with Meta-Analysis.Journal of clinical medicine · 2024Review
- The Impact of Machine Learning and Robot-Assisted Gait Training on Spinal Cord Injury: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2023Review
- 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.Annals of Indian Academy of Neurology · 2023Article
- Effects of body weight support and guidance force settings on muscle synergy during Lokomat walking.European journal of applied physiology · 2021Article
- Walking with UAN.GO Exoskeleton: Training and Compliance in a Multiple Sclerosis Patient.Neurology international · 2021Article
- Activity-Based Physical Rehabilitation with Adjuvant Testosterone to Promote Neuromuscular Recovery after Spinal Cord Injury.International journal of molecular sciences · 2018Review
- The Effectiveness and Safety of Exoskeletons as Assistive and Rehabilitation Devices in the Treatment of Neurologic Gait Disorders in Patients with Spinal Cord Injury: A Systematic Review.Global spine journal · 2016Article
- Robot-aided assessment of lower extremity functions: a review.Journal of neuroengineering and rehabilitation · 2016Review
- Effects of robotic-locomotor training on stretch reflex function and muscular properties in individuals with spinal cord injury.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2015Article
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
Abstract
backgroundMotor impairment is a major consequence of spinal cord injury (SCI). Earlier studies have shown that robotic gait orthosis (e.g., Lokomat) can improve an SCI individual's walking capacity. However, little is known about the differential responses among different individuals with SCI. The present longitudinal study sought to characterize the distinct recovery patterns of gait impairment for SCI subjects receiving Lokomat training, and to identify significant predictors for these patterns.
methodsForty SCI subjects with spastic hypertonia at their ankles were randomly allocated to either control or intervention groups. Subjects in the intervention group participated in twelve 1-hour Lokomat trainings over one month, while control subjects received no interventions. Walking capacity was evaluated in terms of walking speed, functional mobility, and endurance four times, i.e. baseline, 1, 2, and 4 weeks after training, using the 10-Meter-Walking, Timed-Up-and-Go, and 6-Minute-Walking tests. Growth Mixture Modeling, an analytical framework for stratifying subjects based on longitudinal changes, was used to classify subjects, based on their gait impairment recovery patterns, and to identify the effects of Lokomat training on these improvements.
resultsTwo recovery classes (low and high walking capacity) were identified for each clinical evaluation from both the control and intervention groups. Subjects with initial high walking capacity (i.e. shorter Timed-Up-and-Go time, higher 10-Meter-Walking speed and longer 6-Minute-Walking distance) displayed significant improvements in speed and functional mobility (0.033 m/s/week and-0.41 s/week respectively); however no significant change in endurance was observed. Subjects with low walking capacity exhibited no significant improvement. The membership in these two classes-and thus prediction of the subject's gait improvement trajectory over time-could be determined by the subject's maximum voluntary torque at the ankle under both plantar-and dorsi-flexion contractions determined prior to any training.
conclusionOur findings demonstrate that subjects responded to Lokomat training non-uniformly, and should potentially be grouped based on their likely recovery patterns using objective criteria. Further, we found that the subject's ankle torque can predict whether he/she would benefit most from Lokomat training prior to the therapy. These findings are clinically significant as they can help individualize therapeutic programs that maximize patient recovery while minimizing unnecessary efforts and costs.
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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.