Duration of untreated psychosis: impact on 2-year outcome
Bibliographic record
Abstract
BACKGROUND: The duration of untreated psychosis has been postulated to be a predictor of clinical outcome in schizophrenia. Although several prospective studies support the relationship, some studies do not. These differences may be due to a number of methodological issues. The objectives of this study are: (i) to address many of the methodological limitations of earlier studies such as variations in sample size and selection, type of treatment provided, differences in measurement of DUP and outcome, and length of follow-up; and (ii) to examine the relationship between DUP and outcome in a prospective longitudinal study. METHOD: The DUP of 200 consecutive admissions to a first-episode programme was determined. The sample was followed over 2 years and pre-morbid functioning, symptoms, social and cognitive functioning and substance use were assessed longitudinally. RESULTS: Two years after admission to the programme, longer DUP was significantly associated with high levels of positive symptoms and poor social functioning. Independently of other variables, DUP predicted positive symptoms and social functioning at 1 and 2 years. CONCLUSIONS: There is evidence that long DUP continues to have an influence on outcome up to 2 years. These results support ongoing efforts for early detection and intervention.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".