Poster 289 Patient Registry of Spasticity Care World Data Analysis Based on Physician Experience
Bibliographic record
Abstract
Alberto Esquenazi: Research Grants - Allergan, Research Grants - IPSEN To report real-world treatment patterns in stroke and traumatic brain injury (TBI) patients treated with OnabotulinumtoxinA (onaBoNt), AbobotulinumtoxinA (aboBoNt), IncobotulinumtoxinA (incoBoNt) and phenol based on physician experience. Prospective, multicenter, observational registry design. Twenty-nine sites from: United States, Italy, Germany, Spain, Australia, Israel, Canada, Argentina and Mexico. 759 subjects with stroke or TBI, 17 More Experienced Physicians (MEP) and 12 Less Experienced Physicians (LEP). onaBoNt, aboBoNt, incoBoNt or phenol injection based on clinical need. Treatment administration characteristics during routine care, Ashworth, pain and goal attainment scale (GAS). 627 stroke and 132 TBI participants. Age, gender and body mass index (BMI) significantly differed per physician experience (P = <.0001; .03; .002, respectively). Mean botulinum toxin doses were statistically different with larger mean doses injected by MEP in the upper limb (UL) (59.9 ± 39.0, P = .0009). Mean doses injected by MEP in the lower limb (LL) were statistically larger (101.8 ± 69.2, P < .0001). Treated deformities significantly differed based on physician experience for UL and LL (P <.0001). Ashworth scores improved in both physician groups, however they were not significantly different across groups with the exception of the adducted thighs; equinovarus/equinus foot and thumb-in palm (P = .0395; P <.0001 and P =.0006, respectively). There was a statistically significant larger change in hand pain scores at follow up for LEP compared to MEP (P = .0102). Physician experience produced statistical significant differences on patients reported satisfaction towards their secondary goal with higher results for MEP (P = .0416). PROS World with its robust sample size, its international nature and the stratification based on physician experience provides clinical nuances of treatment that are not generally obtainable from other study designs. Level III
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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) | 0.000 | 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".