Brief episodes of non-specific psychosis later diagnosed as periodic catatonia
Bibliographic record
Abstract
A 73-year-old woman was known to have discrete episodes of psychosis not otherwise specified that would require a brief admission to hospital and total remission following a short course of benzodiazepine or antipsychotic treatment. She had no underlying schizophrenic or affective disorder and was completely unimpaired in between episodes, which could last several years. She presented to us with psychotic symptoms but also noted to have many catatonic features, which were also present on previous presentations. Following failure with antipsychotic trials on this index presentation, she completely remitted with a short course of electroconvulsive therapy. We discuss the importance of identifying and treating catatonia and the lesser-known variant of periodic catatonia. Current presentations should always take into account the lifetime context of psychiatric illness. Rarely do patients with primary psychotic disorders not have any impairment or treatment in between episodes.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".