The role of treatment delay in predicting 5-year outcomes in an early intervention program
Bibliographic record
Abstract
BACKGROUND: Past research on the relationship between treatment delay and outcomes for first-episode psychosis has primarily focused on the role of duration of untreated psychosis (DUP) in predicting symptomatic outcomes up to 2 years. In the current study we examine the influence of both DUP and duration of untreated illness (DUI) on symptoms and functioning at 5 years follow-up while controlling for other early characteristics. METHOD: A total of 132 patients with first-episode psychosis and treated in an early intervention program were prospectively followed up for 5 years. Outcomes assessed included positive and negative symptoms, overall functioning, weeks on disability pension and weeks of full-time competitive employment. RESULTS: While DUP showed a significant correlation with level of positive symptoms at follow-up, this was not independent of pre-morbid social adjustment. DUI emerged as a more robust independent predictor of negative symptoms, social and occupational functioning and use of a disability pension. CONCLUSIONS: Delay between onset of non-specific symptoms and treatment may be a more important influence on long-term functioning for first-episode patients than DUP. This suggests the possible value of treating such signs and symptoms as early as possible regardless of the effectiveness of such interventions in reducing likelihood or severity of psychotic symptoms.
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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) | 0.000 | 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) | 0.000 | 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".