Standardized algorithm for muscle selection and dosing of botulinum toxin for Parkinson tremor using kinematic analysis
Bibliographic record
Abstract
BACKGROUND: Inadequate efficacy and significant side effect profile makes pharmacological treatment of Parkinson's disease (PD) tremor challenging. Personalized dosing of botulinum toxin type A (BoNT-A) using tremor analysis has shown efficacy and safety for treating upper limb tremor. This study incorporated a novel, standardized treatment algorithm for determining injection pattern and BoNT-A dosing, customizable by the physician, in PD patients with disabling tremor in one or both arms. METHODS: This open-label study included 47 PD participants (25 "De-novo" and 22 "L-dopa") who received 4 serial BoNT-A treatments with follow-ups at 6 weeks post-treatment over 42 weeks. The treatment algorithm utilized kinematic tremor analysis of each participant's whole arm tremor and determined the physician's injection pattern of BoNT-A. Endpoints included changes in angular tremor amplitude, Fahn-Tolosa-Marin (FTM C) tremor scale, Movement Disorder Society-Unified Parkinson's disease rating scale (MDS-UPDRS) tremor-related score, tremor-related quality of life questionnaire, Likert ratings of perceived weakness, and maximal grip strength. RESULTS: < 0.05) improved tremor amplitude (41.6%), quality of life (23.0%), UPDRS tremor score (29.6%), and arm function (FTM C; 24.6%) for both treatment cohorts from weeks 6 to 42. Maximum grip strength was reduced between 7.4% and 23.0% at follow-up visits and did not impact activities of daily living. Efficacy was obtained with first injection and remained without adjustment over two serial injection in 45% of participants. CONCLUSIONS: This is the first study to use a fully standardized treatment algorithm for personalization of BoNT-A injection patterns for disabling PD tremor over serial treatments. A sustained alleviation of tremor severity and improved arm function and quality of life fulfills an important unmet need for the treatment of PD tremor. This study demonstrated that BoNT-A can be administered as a monotherapy in tremor-dominant PD or as an add-on therapy for refractory PD tremor.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".