Clozapine Safety and Efficacy for Interictal Psychotic Disorder in Pharmacoresistant Epilepsy
Bibliographic record
Abstract
Since the middle of the 19th century, both neurologists and psychiatrists have linked psychosis and epilepsy. Clozapine, the most effective antipsychotic drug, alters electroencephalographic activity and carries a significant risk of causing seizures. Unfortunately, this risk limits the drug's potential use in treating pharmacoresistant psychosis in patients with epilepsy. We present a unique case in which we used clozapine successfully as a last resort treatment for chronic interictal psychosis in a 43-year-old woman with severe pharmacoresistant epilepsy and recurrent status epilepticus. Her psychotic symptoms improved markedly without an increase in the frequency of seizures despite gradual titration of the clozapine dose up to 300 mg daily. Her response demonstrates that, properly monitored, clozapine can be an effective treatment for psychosis even in patients with daily seizures.
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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 | 0.001 |
| 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) | 0.001 | 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".