ArticleJournal of physical therapy science2019
Safety and efficacy of robotic elbow training using the upper limb single-joint hybrid assistive limb combined with conventional rehabilitation for bilateral obstetric brachial plexus injury with co-contraction: a case report.
Article in Journal of physical therapy science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Modified constraint induced movement therapy in children with obstetric brachial plexus palsy: a systematic review.European journal of physical and rehabilitation medicine · 2022Pooled it
- Rehabilitation during early postoperative period following total knee arthroplasty using single-joint hybrid assistive limb as new therapy device: a randomized, controlled clinical pilot study.Archives of orthopaedic and trauma surgery · 2022Trial
- Supporting upper limb movements with a soft robot after a brachial plexus injury.Nature communications · 2026Article
- Article
- Virtual Rehabilitation of Elbow Flexion Following Nerve Transfer Reconstruction for Brachial Plexus Injuries Using the Single-Joint Hybrid Assisted Limb.Journal of hand surgery global online · 2022Article
- Design, characterisation and validation of a haptic interface based on twisted string actuation.Frontiers in robotics and AI · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
[Purpose] Obstetric brachial plexus injuries are accompanied by co-contractions due to misdirection of regenerated nerve fibers. The result is inhibition of arm movement necessary for activities of daily living. Rehabilitation is important to prevent joint contracture and muscle atrophy in such cases. A single-joint hybrid assistive limb is a new wearable robot that can assist in elbow joint motion by detecting muscle action potentials on the upper limb surface. Inhibiting co-contractions due to obstetric brachial plexus injuries with this device may help with performance of activities of daily living. This study aimed to evaluate the safety and efficacy of using a single-joint hybrid assistive limb combined with conventional rehabilitation in a patient with obstetric brachial plexus injuries. [Participant and Methods] A 40-year-old male with bilateral obstetric brachial plexus injuries and co-contractions of the biceps and deltoid underwent rehabilitation training using the single-joint hybrid assistive limb 3 times a week for 12 sessions (4 weeks) in both upper limbs. [Results] The patient completed all 12 sessions of training using the single-joint hybrid assistive limb with no adverse events. Improvements in flexion strength in the left elbow, active flexion range of motion in both elbows, and functional tests in the right arm were observed. [Conclusion] Elbow training using the newly developed single-joint hybrid assistive limb combined with conventional rehabilitation can be performed without severe adverse events and may improve muscle strength, range of motion, and arm functions in adults with obstetric brachial plexus injuries and bilateral co-contractions of the deltoid and biceps muscles.
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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.