The Case for Cautious Interpretation and Replication: Lead-Time Bias as a Potential Explanation for the Link Between Duration of Untreated Psychosis and Outcome
Bibliographic record
Abstract
issue of the Journal, seeks to explain the important but poorly understood association between duration of untreated psychosis (DUP) and outcomes (1).We commend the authors for advancing the field by testing a novel theory using sophisticated analytic techniques.However, several issues warrant critical examination, lest the article's findings be construed as negating the need for reducing treatment delay.First, the DUPs in this study are extremely long (mean days, 726, SD=94.89;mean weeks, 103.7; median days, 346; median weeks, 49.43) and may surpass a threshold beyond which longer-term outcomes may be uniformly low.Although the observed values may be "shorter" than those noted in the United States, as the authors state, they stand well above many estimates
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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 | 0.121 | 0.420 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.011 | 0.004 |
| Research integrity | 0.044 | 0.047 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".