A 12‐month outcome study of insight and symptom change in first‐episode psychosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: We first aimed to evaluate the progression of insight and psychopathology over the first year of treatment for a psychosis. We hypothesized that improvement in insight would associate with improvement in positive and negative symptoms, and depressive and anxious symptom exacerbation. Secondly, in an exploratory analysis, we aimed to identify quantitatively distinct insight trajectory groups, and to describe the impact of psychopathology over time on the different trajectory groups. METHODS: One-hundred and sixty-five patients were administered a comprehensive clinical evaluation, and insight was rated on the Scale for Assessment for Unawareness of Mental Disorder, item 1 (awareness of mental disorder), at admission and after 1, 2, 3, 6, 9 and 12 months. RESULTS: In a generalized estimating equation (GEE) model of change, insight improved concurrently with positive, negative and anxious symptoms between baseline and month 1 in the entire cohort. Latent group-based trajectory analysis revealed five insight groups: good, increasing, decreasing, moderate poor and very poor. GEE modelling revealed that the very poor and moderate poor insight groups displayed greater overall negative symptoms than patients with good and increasing insight trajectories. The good insight group showed significantly greater overall depressive symptoms than the diminished and very poor insight groups. CONCLUSIONS: The results suggest that specific longitudinal insight trajectories were driving the observed associations between insight and negative and depressive symptoms in the entire first-episode psychosis cohort. Persistently poor insight may be an important factor in negative symptom maintenance. Good or increasing course of insight may be early clinical indicators of a liability to depression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it