Suicidality prior to presentation in first‐episode psychosis
Bibliographic record
Abstract
INTRODUCTION: Suicide and attempted suicide contribute significantly to the increased mortality and morbidity associated with psychotic illness. The period of highest risk is reportedly in the early years of illness. While the literature concentrates on completed suicide in chronic psychosis, less is understood about attempted suicide in first-episode psychosis (FEP). AIM: We aimed to examine rates and correlates of suicide attempts in individuals with FEP. METHOD: Individuals in this study were all those, both in- and outpatients, diagnosed with FEP over a 2-year period, from a defined catchment area. Assessment included Structured Clinical Interview for DSM-IV, Schedule for Assessment of Positive Symptoms, Schedule for Assessment of Negative Symptoms, Calgary Scale, Beiser Scale and Birchwood Insight Scale. RESULTS: Of 107 patients with FEP, 50 (47%) individuals reported suicidal ideation: 41 (38%) in the month prior to first presentation. Ten individuals (9%) made a suicide attempt. The only factor significantly associated with previous suicide attempt was higher insight scores at first presentation (P = 0.04). CONCLUSION: Individuals with a history of suicide attempt tend to have higher insight into having a mental illness at first presentation.
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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 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".