ReviewTurkish journal of physical medicine and rehabilitation2024
Robot-assisted gait training in stroke.
Review in Turkish journal of physical medicine and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Post-stroke lower limb rehabilitation: a comparative study between exoskeleton robots and traditional gait training.Journal of neuroengineering and rehabilitation · 2026Pooled it
- [Gait Training Using Robotic Devices in Subjects With Stroke: An Overview of Systematic Reviews and Meta-analysis].Revista de neurologia · 2026Pooled it
- Robotic Training and Neural Reorganization in Stroke: A Systematic Review.F1000Research · 2026Pooled it
- Robot-assisted rehabilitation for post-stroke balance and postural control: an umbrella review and evidence map of systematic reviews.Frontiers in neurology · 2026Pooled it
- Effectiveness and safety of a lower-limb walking assist device for motor function recovery in subacute stroke patients: A prospective, randomized, open, parallel-controlled, noninferiority study.The Journal of international medical research · 2025Trial
- Effects of Gait Training with Lower-Limb Robotic Exoskeletons and Exoskeleton-Type Devices on Gait Symmetry and Gait Speed in Patients with Stroke: A Systematic Review and Meta-Analysis.Bioengineering (Basel, Switzerland) · 2026Review
- Robot-Assisted Gait Training Enhances Phase-Specific Torque Generation, Balance, and Motor Recovery in Hemiplegia.Sensors (Basel, Switzerland) · 2026Article
- The Effects of Clinical Applications of Robot-Assisted Therapy Methods: End-Effector, Fixed Exoskeleton, and Wearable Exoskeleton on Functional Activities in Stroke Patients.Life (Basel, Switzerland) · 2026Article
- Kinesiophobia and functional outcomes in inpatient post-stroke rehabilitation with and without robot-assisted gait therapy.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is the second most common cause of mortality and disability worldwide. Most of the patients cannot regain their walking ability after a stroke. Impaired gait and mobility negatively affect the activities of daily living and quality of life of stroke survivors. Restoring gait and mobility are the most important targets of the rehabilitation approaches. Advances in computers and engineering have enabled robotics to be used in many areas of rehabilitation medicine. One of them is gait training. High-intensity, repetitive task training is crucial for neural plasticity and motor learning. Robot-assisted gait training may be a promising method leading to functional recovery in patients with stroke. In this review, the efficacy of robot-assisted gait training in stroke rehabilitation is discussed in light of current literature.
Indexed as
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What OpenQuestion holds
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.