Trial reportJournal of neuroengineering and rehabilitation2024
Effect of task-oriented training assisted by force feedback hand rehabilitation robot on finger grasping function in stroke patients with hemiplegia: a randomised controlled trial.
Trial report in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 29 papers, 8 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.
Effect of Task-oriented Training Assisted by Force Feedback Hand Rehabilitation Robot on Finger Function in Stroke Patients With Hemiplegia
Investigation of the Effectiveness of Dual-Task Exercises Applied in Addition to Robotic Rehabilitation in Hemiplegic Patients: A Randomized Controlled Trial
Who cites it
29 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Comparative Effectiveness of Noninvasive Brain-Computer Interface-Based Interventions for Upper Limb Rehabilitation in Poststroke Hemiplegia: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Effects of robot-assisted task-oriented training on upper limb function and activities of daily living in patients with stroke: A systematic review.The Journal of international medical research · 2026Pooled it
- Efficacy of digital health technologies as adjunctive functional training in occupational therapy for stroke rehabilitation: a meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Pooled it
- The effectiveness of robotic therapy in reducing upper limb spasticity in stroke survivors: a systematic review and meta-analysis.Journal of neuroengineering and rehabilitation · 2026Pooled it
- The therapeutic effect of scraping on hemiplegia patients after stroke: A meta-analysis.Medicine · 2025Pooled it
- Effects of robotic-assisted upper extremity therapy for stroke patients in different recovery phases: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Systematic review and meta-analysis of effectiveness of robotic therapy in the recovery of motor functions after stroke.Frontiers in human neuroscience · 2025Pooled it
- Acupuncture combined with rehabilitation robot for recovery of hemiplegia after ischemic stroke: systematic review and meta-analysis of randomized controlled trials.Frontiers in neurologyPooled it
- Efficacy of a soft robotic exoskeleton for upper-limb rehabilitation in subacute stroke inpatient rehabilitation: a randomised controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- Effects of robotic hand-assisted rehabilitation on motor function and daily living activities in acute stroke: a randomized controlled trial.Scientific reports · 2026Trial
- Clinical efficacy and cortical network modulation of a multimodal sensory feedback upper-limb rehabilitation robot for post-stroke upper-limb recovery: a randomized controlled trial.Frontiers in neurology · 2026Trial
- Soft robotic gloves versus mirror therapy: a long-term comparative study on hand function and motor recovery in post-stroke rehabilitation.Journal of rehabilitation medicine · 2025Trial
- Comparative Efficacy of Exercise Modalities for Motor Function Recovery After Acute Ischemic Stroke: A Systematic Review and Bayesian Network Meta-Analysis.Life (Basel, Switzerland) · 2026Review
- Deformable Sensors for Pressure and Position Assessment Using Time-Domain Reflectometry in Motor Rehabilitation.Sensors (Basel, Switzerland) · 2026Article
- Article
- Robot-Assisted Rehabilitation as a Form of Progressive Therapy in Upper Extremity Motor Recovery After Stroke: A Systematic Review.Journal of clinical medicine · 2026Review
- Article
- A structural causal model for robot-assisted upper-limb neurorehabilitation.Frontiers in rehabilitation sciences · 2026Article
- Calibration-free sEMG intention recognition via self-supervised pretraining and adversarial domain alignment for upper-limb rehabilitation.Scientific reports · 2025Article
- Evaluating the Effectiveness of Immersive Virtual Reality Rehabilitation Games With Enhanced Visual Training for Hand Motor Function Improvement Using Electromyography: Randomized Controlled Trial.JMIR serious games · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver 80% of patients with stroke experience finger grasping dysfunction, affecting independence in activities of daily living and quality of life. In routine training, task-oriented training is usually used for functional hand training, which may improve finger grasping performance after stroke, while augmented therapy may lead to a better treatment outcome. As a new technology-supported training, the hand rehabilitation robot provides opportunities to improve the therapeutic effect by increasing the training intensity. However, most hand rehabilitation robots commonly applied in clinics are based on a passive training mode and lack the sensory feedback function of fingers, which is not conducive to patients completing more accurate grasping movements. A force feedback hand rehabilitation robot can compensate for these defects. However, its clinical efficacy in patients with stroke remains unknown. This study aimed to investigate the effectiveness and added value of a force feedback hand rehabilitation robot combined with task-oriented training in stroke patients with hemiplegia.
methodsIn this single-blinded randomised controlled trial, 44 stroke patients with hemiplegia were randomly divided into experimental (n = 22) and control (n = 22) groups. Both groups received 40 min/day of conventional upper limb rehabilitation training. The experimental group received 20 min/day of task-oriented training assisted by a force feedback rehabilitation robot, and the control group received 20 min/day of task-oriented training assisted by therapists. Training was provided for 4 weeks, 5 times/week. The Fugl-Meyer motor function assessment of the hand part (FMA-Hand), Action Research Arm Test (ARAT), grip strength, Modified Ashworth scale (MAS), range of motion (ROM), Brunnstrom recovery stages of the hand (BRS-H), and Barthel index (BI) were used to evaluate the effect of two groups before and after treatment.
resultsIntra-group comparison: In both groups, the FMA-Hand, ARAT, grip strength, AROM, BRS-H, and BI scores after 4 weeks of treatment were significantly higher than those before treatment (p < 0.05), whereas there was no significant difference in finger flexor MAS scores before and after treatment (p > 0.05). Inter-group comparison: After 4 weeks of treatment, the experimental group's FMA-Hand total score, ARAT, grip strength, and AROM were significantly better than those of the control group (p < 0.05). However, there were no statistically significant differences in the scores of each sub-item of the FMA-Hand after Bonferroni correction (p > 0.007). In addition, there were no statistically significant differences in MAS, BRS-H, and BI scores (p > 0.05).
conclusionHand performance improved in patients with stroke after 4 weeks of task-oriented training. The use of a force feedback hand rehabilitation robot to support task-oriented training showed additional value over conventional task-oriented training in stroke patients with hand dysfunction. CLINICAL TRIAL REGISTRATION INFORMATION: NCT05841108.
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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.