Efficacy and Safety of OnabotulinumtoxinA for the Treatment of Pediatric Upper and Lower Limb Spasticity: Results From 2 Open-Label, Long-term Extension Trials
Bibliographic record
Abstract
AimTo evaluate the efficacy and safety of onabotulinumtoxinA for treating upper and lower limb spasticity among pediatric patients in 2 open-label extension trials.MethodsPatients aged <18 years received ≤5 doses of onabotulinumtoxinA (maximum: 8 U/kg [300 U], cycle 1; 10 U/kg [340 U], cycles 2-5) over 60 weeks. Week 6 efficacy endpoints included mean change from baseline in Modified Ashworth Scale-Bohannon and Modified Tardieu Scale scores, and mean Clinical Global Impression of Overall Change score. Adverse events and laboratory assessments of bone health were monitored.ResultsA total of 580 patients received onabotulinumtoxinA. Modified Ashworth Scale-Bohannon change from baseline ranged from -1.01 to -1.9. Modified Tardieu Scale change from baseline was 13.6 to 18.1 (ankle), 25.8 to 44.1 (elbow), and -5.0 to -26.3 (wrist). Clinical Global Impression of Overall Change scores were 1.5 to 2.2. The most common treatment-emergent adverse events were upper respiratory tract infection (16.9%) and nasopharyngitis (15.7%).InterpretationRepeat administration of onabotulinumtoxinA was safe and efficacious for treating upper and lower limb spasticity in children.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".