Botulinum Toxin for the Treatment of Motor Imbalance in Obstetrical Brachial Plexus Palsy
Bibliographic record
Abstract
BACKGROUND: Residual muscle imbalance is a common problem affecting obstetrical brachial plexus palsy patients. The goal of this study was to examine the efficacy of botulinum toxin type A (Botox) in improving this muscle imbalance. METHODS: The authors retrospectively reviewed obstetrical brachial plexus palsy patients treated with Botox for muscle imbalance as an isolated procedure. Outcomes were the change in Active Movement Scale scores from pre-Botox scores to scores at 1 month after Botox and 1 year after Botox. RESULTS: Twenty-seven patients were included, 19 treated for shoulder imbalance and eight treated for elbow imbalance. Active Movement Scale scores (mean±SD) for shoulder external rotation improved from 0.6±1.0 before Botox to 2.6±2.14 (p<0.01) at 1 month after Botox, and declined to 1.3±1.2 (p<0.01) at 1 year after Botox. Scores for elbow flexion were 3.3±2.1 before Botox, unchanged at 4.4±1.8 (p=0.07) 1 month after Botox, and improved to 5.8±0.5 (p<0.01) at 1 year after Botox. Scores for elbow supination were 2.9±1.7 before Botox and 3.4±1.5 (p=0.2) at 1 month after Botox, and improved to 3.9±2.0 (p<0.01) at 1 year after Botox. CONCLUSIONS: Botox for shoulder movement imbalance produces improvement in external rotation that is not sufficiently sustained over time to be of clinical benefit. However, Botox for elbow movement imbalance produces a sustained and clinically useful improvement. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".