Botulinum Toxin Treatment on Upper Limb Function in School Age Children With Bilateral Spastic Cerebral Palsy: One Year Follow-up
Bibliographic record
Abstract
OBJECTIVE: To prospectively investigate the long-term effects of botulinum toxin treatment on the upper limb function and performance of school age children with spastic bilateral cerebral palsy, who have limitations in performing activities of daily living and school activities, due to spasticity of the upper extremities. METHODS: Botulinum type A toxin (BoNT-A) was injected into 24 spastic upper limbs of 15 children. We used a Modified Ashworth Scale and a Modified Tardieu Scale for the evaluation of upper limb spasticity, and Quality of Upper Extremity Skills Test (QUEST), Canadian Occupational Performance Measure (COPM), and Test of Visual-Motor Skills-Revised (TVMS-R) for the evaluation of upper limb function and performance. RESULTS: Upper limb spasticity continuously decreased until the end of the one-year follow-up. Upper limb function on QUEST and COPM showed the best performance at 3 months and deteriorated slightly, but still showed a significantly better performance at 9 and 12 months than at pre-injection. In more functional nine subjects who could perform TVMS-R, the performance enhancement effects remained constant after 12 months, suggesting that the reduced spasticity led to the learning effect acquired by the repeated use of the affected upper limb. CONCLUSION: For school age children with bilateral spastic cerebral palsy whose upper limb functions are important, BoNT-A injections seem to be of help in the performance of school activities and activities of daily living.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".