Insight in early psychosis: a 1 year follow‐up
Bibliographic record
Abstract
Insight is an important prognostic indicator in early psychosis, as its presence can enhance treatment compliance, thus reducing the risk of clinical deterioration. The Calgary Early Psychosis Programme (EPP) is a comprehensive treatment programme for individuals experiencing their first episode of psychosis. Purpose (i) to examine insight on admission and determine if change occurred in the first year of treatment and (ii) to determine if insight was associated with other symptoms. Methods Participants were 180 consecutive admissions to EPP who completed a 1‐year follow‐up. Insight, positive and negative symptoms were measured with the PANSS. Depression was measured with the Calgary Depression Scale. Results There was a significant improvement in insight from initial to 1‐year follow‐up (P < 0.001). Insight was positively correlated with positive and negative symptoms (P < 0.001) over time. Insight was negatively correlated with depression (P < 0.001) at the initial assessment. Conclusions In these first episode patients, there is a significant improvement in insight over time. Insight is significantly related to positive and negative symptoms and to depression in the initial stages of the illness when the presence of depression is notable.
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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) | 0.001 | 0.001 |
| 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) | 0.001 | 0.001 |
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".