Task-oriented arm strength training in children with cerebral palsy. A randomized controlled trial protocol and exercise program for functional strength training based on progressive resistance exercise principles
Bibliographic record
Abstract
Objective: To compare the effectiveness of Task-Oriented Arm Strength training in children with Cerebral Palsy (TOAST-CP), using Progressive Resistance Exercise principles with manual skill learning in improving the performance of manual daily activities in children with spastic Cerebral Palsy. Methods/Design: This multicenter randomized controlled trial investigates the effectiveness of TOAST-CP in children with spastic Cerebral Palsy, involving 50 participants aged 8-18 years. Participants are recruited from rehabilitation centers. Eligible participants are randomly allocated to either TOAST-CP or usual care related to manual skill learning. Intervention: The participants of the intervention group performed a TOAST-CP program, based on individual goals and guided by a progressive resistance exercise algorithm. The control group receives the usual care related to the manual skill learning program. TOAST-CP consists of an individual-based 30-minute session, three times a week over 16 weeks. A specific exercise program is developed. Outcome: Outcome is measured at baseline at eight weeks, 16 weeks (end of training), three, and six months after training. As a primary outcome, the Assisting Hand Assessment is used. Secondary outcomes are task-oriented strength measures and muscle strength measures of the upper limb. The Observation and Scoring of Arm Hand Skills (performance and amount of use of both hands), the ABILHAND (-Kids), and the Jebsen Taylor Hand Function test (speed of hand use) are measured. The most important needs and goals for the child and his/her parents are scored by Canadian Occupational Performance Measure and Goal Attainment Scaling.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".