ArticlePhysical activity and nutrition2024
Changes in body composition, physical fitness and quality of life on robotic gait assisted training in patients with Guillain-Barré Syndrome: a case report.
Article in Physical activity and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
purposeThis case report evaluates changes in body composition, physical fitness, and quality of life in a patient with Guillain-Barre syndrome (GBS) undergoing training with an end-effector gait robotic device.
methodsA 35-year-old man with GBS completed interval training using a robotic gait assistant three times weekly for four weeks. The training intensity was set at 70-75% (Phase 1) and 80-85% (Phase 2) of the target heart rate, calculated using the heart rate reserve. Evaluations included body composition, physical fitness, isometric strength, gait performance, and quality of life indices.
resultsPost-intervention, improvements were observed across all parameters. Body weight increased by 1.2%, while body fat percentage and visceral fat decreased by 5.4% and 3.7%, respectively. Muscle mass increased by 3.3%, and isometric strength improved at all tested sites. Gait speed increased from 0.7 to 1.8 km/h (157.1%), and the number of steps per minute increased from 33 to 77 (133.3%). The timed up-and-go (TUG) test improved by 7.1%, and exercise self-efficacy (ESE) scores increased by 29.1%.
conclusionThese findings align with the principles of neuromuscular adaptation, motor learning, and neuroplasticity. Interval training with a robotic gait device may effectively restore physical function and improve quality of life in patients with GBS. However, the limitations of this single case study highlight the need for randomized controlled trials with larger cohorts and long-term effectiveness assessments.
Indexed as
Identifiers
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.