Cumulative effects of long-term treatment with abobotulinumtoxinA in cervical dystonia: Findings from a prospective, observational study
Bibliographic record
Abstract
OBJECTIVE: Patients with cervical dystonia (CD) require regular injections of botulinum neurotoxin type A (BoNT-A) to maintain treatment effectiveness. In this secondary analysis of a large routine-practice study, we assessed the response to abobotulinumtoxinA over repeated cycles and compared the responses of patients previously naïve to BoNT treatment to those already treated with BoNT-A. METHODS: INTEREST IN CD2 was a prospective, 3-year, observational study following CD patients treated with BoNT-A. Patients were assessed at each injection visit using the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) and Tsui scale; patient satisfaction with symptom control (previous cycle) was recorded. RESULTS: This analysis included 466 patients treated with abobotulinumtoxinA over 3 years. TWSTRS-Total scores continually decreased; the mean ± SD reduction from baseline to 36 months was -7.4 ± 11.9. BoNT-naïve patients tended to show greater reductions in TWSTRS scores than already treated patients, particularly in the first 6 months. Incremental improvements were also seen in Tsui-tremor scores. Overall levels of patient satisfaction at peak effect (84.1-91.2%) were consistently higher than at the end of cycle (47.2-53.2%). The most frequently reported adverse events were dysphagia (6.8%) and muscular weakness (3.7%). CONCLUSIONS: These data support the long-term effectiveness and safety of abobotulinumtoxinA in a real-world setting.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".