2234 Perampanel for the treatment of paediatric patients in clinical practice by age category
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<h3>Objectives</h3> To assess perampanel (PER) in everyday clinical practice in paediatric patients. <h3>Methods</h3> Paediatric patients treated with PER were identified from a pooled analysis of 44 global studies. Retention was assessed after 3, 6 and 12 months. Responder rate (≥50% seizure frequency reduction), seizure freedom rate (no seizures since at least prior visit) and adverse events (AEs) were evaluated. Data were analysed by age category. <h3>Results</h3> 56 patients were identified (<4 years, n=5; 4–<7 years; n=12; 7–<12 years, n=39). Mean PER doses at baseline and last visit (last observation carried forward) were 1.8 and 2.3 mg/day; 1.8 and 4.1 mg/day; and 2.1 and 4.9 mg/day, in the three respective groups. Retention rates at 3, 6 and 12 months in patients aged <4 years were 50.0% at all timepoints; corresponding rates for patients aged 4–<7 and 7–<12 years were 90.0%, 70.0% and 0%, and 89.7%, 76.9% and 63.6%. At last visit, responder and seizure freedom rates in patients aged <4 years were 66.7% and 33.3%; corresponding rates for patients aged 4–<7 and 7–<12 years were 36.4% and 9.1%, and 58.3% and 27.8%. AEs were reported for 0%, 40.0% and 38.2% in the three groups. Most frequently reported were irritability (<4 years, 0%; 4–<7 years, 10%; 7–<12 years, 14.7%) and dizziness/vertigo (<4 years, 0%; 4–<7 years, 0%; 7–<12 years, 8.8%). <h3>Conclusions</h3> PER was effective and generally well tolerated in this small population of paediatric patients treated in clinical practice. Supported by Eisai
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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 | 0.001 | 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 it