An Open‐Label Phase 2a Study to Evaluate the Safety and Tolerability of Perampanel in Cervical Dystonia
Bibliographic record
Abstract
BACKGROUND: Cervical dystonia (CD) is the most common focal isolated dystonia. Preclinical studies report that AMPA-selective glutamate receptor antagonists improve dystonia. Perampanel is a clinically available, AMPA receptor antagonist that has shown efficacy and safety in epilepsy. OBJECTIVES: To determine safety and tolerability of perampanel in CD. METHODS: We performed a phase 2a, open-label, multicenter study to evaluate tolerability and safety of perampanel in CD. Included subjects had primary CD; those on botulinum toxin were 8 weeks post last injection. All subjects received perampanel 2 mg/day, titrated 2 mg weekly over 6 weeks, to maximum 12 mg/day; maintenance phase was 4 weeks, ending at week 10. Primary endpoints included tolerability, defined as ability to remain on perampanel for the maintenance period, at any dose level and safety, determined from adverse events (AEs) collected at each visit. Secondary exploratory endpoints included Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS), quality of life (cervical dystonia impact profile [CIDP]-58) and Clinical Global Impression of change (CGI). RESULTS: CD participants (n = 25) were recruited. Eight subjects withdrew; 4 because of AEs, 3 for other reasons and 1 lost to follow up. One subject tolerated 12 mg/day. Eight subjects (30.8%) tolerated 2 mg, whereas 19.2% tolerated 4 mg/day, and 15.4% tolerated 6 mg or 8 mg/day. All subjects experienced AEs. The most common AEs were dizziness, imbalance, and irritability. Exploratory endpoints of TWSTRS showed some improved pain scores and CIDP-58 improved sleep. CONCLUSIONS: Tolerability to perampanel was variable in CD subjects. Lower doses would be considered for future studies in this population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.007 | 0.001 |
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".