P.003 Outcome of psychogenic nonepileptic seizures following diagnosis in the epilepsy monitoring unit
Bibliographic record
Abstract
Background: study patients with PNES’ outcome after their diagnosis in the EMU. Methods: Comparative analyses were carried out on several variables before and after diagnosis: number of participants with daily PNES, number of visits to the emergency department, number of participants who took ASMs or psychotropic drugs, and employment status. Results: 61/103 patients (79% female) participated. The median age at PNES onset was 35 years. 62% were receiving ASMs and 40% psychotropic drugs. The mean stay at the EMU was five days. PNES diagnosis was explained to almost all patients (97%) by the end of their EMU stay and was well accepted by most (89%). When contacted, 46% of participants no longer had PNES; 32% mentioned that their PNES had ceased immediately upon communication of the diagnosis. Fewer patients had daily seizures after the diagnosis. Similarly, the median number of emergency department visits was significantly lower. Only 17 patients consulted their general practitioner and 20 a neurologist after a PNES attack. The use of ASMs was also significantly reduced from 70% to 33%, with only one still taking an ASM for its antiseizure properties. Conclusions: significant reductions in PNES frequency, health care utilization and ASM use.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".