Impact d'un programme d'entraînement périodisé sur la condition physique et sur les symptômes de spasticité chez les patients atteints de l'ataxie récessive spastique autosomique de Charlevoix- Saguenay
Bibliographic record
Abstract
L’activité physique et l’entraînement sont adoptés comme traitements palliatifs dans le cas de plusieurs maladies neuromusculaires. D’autre part, certaines maladies, dont l’ataxie récessive spastique autosomique de Charlevoix-Saguenay (ARSACS), sont encore peu explorées. Le but de cette recherche est d’évaluer l’impact de l’entraînement sur la condition physique, le degré de spasticité et l’autonomie des personnes atteintes de l’ARSACS. Treize sujets âgés de 17 à 45 ans se sont portés volontaires. Ils ont suivi un programme d’entraînement de 8 semaines constitué d’exercices de musculation, d’entraînements de type aérobie ainsi que de différentes activités physiques et sportives. En comparant les résultats entre le début et la fin du projet, l’analyse révèle une amélioration significative pour 11 des 13 évaluations portant sur la condition physique et sur la capacité fonctionnelle. Une baisse de l’ataxie des membres supérieurs et une amélioration de la coordination ont aussi été constatées. Physical activity and training are adopted as palliative treatment of several neuromuscular diseases. However, some diseases, including Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay (ARSACS) are still insufficiently explored. The objective of this research is to evaluate the impact of training on physical fitness, functional capacity and the degree of spasticity in patients with ARSACS. Thirteen people aged from 17 to 45 years old volunteered. They followed an 8-week training program with physical activities, resistance training exercises and aerobic training. Comparing the results from the beginning to the end of the project, the analysis has shown a significant difference for 11 of the 13 assessments of physical fitness and functional capacity. A decline in upper limb ataxia and an improvement of the coordination was also noticed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".