Trial reportToxins2021
The Effects of Distributed vs. Condensed Schedule for Robot-Assisted Training with Botulinum Toxin A Injection for Spastic Upper Limbs in Chronic Post-Stroke Subjects.
Trial report in Toxins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06070987 (To Estimate the Efficacy of Botulinum Toxin A Injection Combing With Exoskeleton Robotic Assisted Gait Training in Stroke Patients With Spastic Stiff Knee Gait), which is not on this map. Cited by 7 papers.
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.
To Estimate the Efficacy of Botulinum Toxin A Injection Combing With Exoskeleton Robotic Assisted Gait Training in Stroke Patients With Spastic Stiff Knee Gait: Motor Function Performance and Neurophysiological Evaluation
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Botulinum toxin A combining with robot-assisted bimanual therapy integrating mirror therapy versus botulinum toxin A combining with robot-assisted bimanual therapy in patients with post-stroke spastic fingers: a randomized controlled pilot trial.Journal of neuroengineering and rehabilitation · 2025Trial
- Trial
- Efficacy of Robot-assisted Training on Upper Limb Motor Function After Stroke: A Systematic Review and Network Meta-analysis.Archives of rehabilitation research and clinical translation · 2025Review
- Improving Spasticity by Using Botulin Toxin: An Overview Focusing on Combined Approaches.Brain sciences · 2024Review
- Therapeutic robots for post-stroke rehabilitation.Medical review (2021) · 2024Review
- Botulinum toxin treatment may improve myoelectric pattern recognition in robot-assisted stroke rehabilitation.Frontiers in neuroscience · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robot-assisted training (RT) combined with a Botulinum toxin A (BoNT-A) injection has been suggested as a means to optimize spasticity treatment outcomes. The optimal schedule of applying RT after a BoNT-A injection has not been defined. This single-blind, randomized controlled trial compared the effects of two predefined RT approaches as an adjunct to BoNT-A injections of spastic upper limbs in chronic post-stroke subjects. Thirty-six patients received a BoNT-A injection in the affected upper extremity and were randomly assigned to the condensed or distributed RT group. The condensed group received an intervention of four sessions/week for six consecutive weeks. The distributed group attended two sessions/week for 12 consecutive weeks. Each session included 45 min of RT using the InMotion 2.0 robot, followed by 30 min of functional training. The Fugl-Meyer Assessment, Modified Ashworth Scale, Wolf Motor Function Test, Motor Activity Log, and Stroke Self-Efficacy Questionnaire were assessed at pre-training, mid-term, post-training, and at 6 week follow-up, with the exception of the Motor Activity Log, which did not include mid-term measures. After the intervention, both groups had significant improvements in all outcome measures (within-group effects,
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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.