Transsyndromic trajectories from pre-onset self-harm and subthreshold psychosis to the first episode of psychosis: A longitudinal study.
Bibliographic record
Abstract
Across subthreshold psychotic and nonpsychotic syndromes, symptoms experienced before the onset of a first episode of psychosis (FEP) may index distinct illness trajectories. We aimed to examine the associations between three types of pre-onset symptoms (self-harm, suicide attempts, and subthreshold psychotic) and outcome trajectories during FEP. Participants with FEP were recruited from PEPP-Montreal, a catchment-based early intervention service. Pre-onset symptoms were systematically assessed through interviews with participants (and their relatives) and reviews of health and social records. Over 2 years of follow-up at PEPP-Montreal, 3-8 repeated measures were collected for positive, negative, depressive, and anxiety symptoms, as well as functioning. We applied linear mixed models to examine associations between pre-onset symptoms and outcome trajectories. We found that on average over follow-up, participants with pre-onset self-harm had more severe positive, depressive, and anxiety symptoms compared with other participants (standardized mean differences: 0.32-0.76), while differences in negative symptoms and functioning were not significant. Associations did not differ by gender and remained similar after adjusting for the duration of untreated psychosis, substance use disorder, or baseline diagnosis of affective psychosis. Over time, depressive and anxiety symptoms improved among individuals with pre-onset self-harm, such that they converged with other individuals by the end of the follow-up. Similarly, pre-onset suicide attempts were associated with elevated depressive symptoms that improved over time. Pre-onset subthreshold psychotic symptoms were not associated with outcomes, except for a slightly different trajectory of functioning. Individuals with pre-onset self-harm or suicide attempts may benefit from early interventions that target their transsyndromic trajectories. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".