Low-dose/high-concentration localized botulinum toxin A improves upper limb movement and function in children with hemiplegic cerebral palsy
Bibliographic record
Abstract
The objective was to determine the effects of low-dose, high-concentration, dual localized botulinum toxin A (BTX-A) injections on upper limb movement quality and function. Study design was an evaluator-blinded, randomized, controlled trial. Forty-two children (31 males, 11 females; range 2-8y, mean 4y [SD 1.6]) with hemiplegic cerebral palsy (Gross Motor Function Classification System level I) participated. All received occupational therapy. The treatment group (n=21) received one injection series (mean muscles injected 6 [SD 1.05]; total dose 82-220 units, mean 139 [SD 37.48]; dilution 100 units/0.5ml). Primary outcome of Quality of Upper Extremity Skills Test (QUEST) at 6 months was not significant (p=0.318). Secondary outcomes were average treatment effects at 1, 3, and 6 months, which favoured the treatment group: QUEST (p<0.001); Canadian Occupational Performance Measure (performance, p=0.002; satisfaction p=0.007); parent Goal Attainment Scaling (GAS; p=0.001), therapist GAS (p<0.001); Pediatric Evaluation of Disability Inventory (PEDI) functional skills (p=0.030); Ashworth (p<0.001). PEDI caregiver assistance was not significant (p=0.140). Therapy alone is effective, but at 1 and 3 months movement quality is better where BTX-A is also used. Moreover, function is better at 1, 3, and 6 months, suggesting BTX-A enhances therapy outcomes beyond the pharmacological effect. One- and 3-month Ashworth and QUEST scores suggest precise needle placement accuracy.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".