First Onset Functional Brief Psychoses in the Elderly
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The origin and nosological status of psychotic states first arising in late life remain uncertain. We aimed to evaluate the diagnostic stability of brief psychoses with late-life onset. METHODS: A 10-year retrospective analysis of all records of elderly patients with a first-ever episode of psychosis was undertaken. RESULTS: Of 2,072 admissions of elderly patients, 604 had their first brief psychotic disorder (International Classification of Diseases diagnoses). All "organic" psychoses were excluded. The study sample comprised 83 individuals (36 male, 47 female) with a mean ± SD age of 75.4±9.3 years (range: 65-92). Mean follow-up duration was 27.7 months (range: 6-120). Distribution of diagnoses was as follows: unspecified nonorganic psychosis (n = 71); persistent delusional disorder (n = 10); other nonorganic psychosis (n = 1); and acute and transient psychotic disorder (n = 1). At follow-up, diagnosis of very late-onset schizophrenia-like psychosis and switch to another brief psychotic disorder were the most frequent outcomes. CONCLUSIONS: The diagnosis of a nonorganic psychosis first manifesting in the elderly is not rare in tertiary care. Diagnostic shift at follow-up of these patients is more common than conceptualized, requiring flexibility on the part of treating physicians.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".