First-Episode Psychosis: Psychopathology, Quality of Life, and Functional Outcome
Bibliographic record
Abstract
The burgeoning interest in investigating the first episode of schizophrenia and related disorders provides an opportunity to examine how this approach has assisted our understanding of the heterogeneity of psychopathology of this disorder and the trajectories of its outcome. We present a review of relevant literature on categorical versus dimensional perspectives on psychopathology, with special reference to early signs, its relationship with other patient- and system-related characteristics, and the status and determinants of functional outcome and quality of life. The findings from longitudinal studies of the dimensional psychopathology of first-episode psychosis suggest continuity of some psychopathological dimensions from premorbid through prodromal to post-onset phases of psychosis and some aspects of longer-term course. Short-term functional outcome improves after treatment of the first episode, but longer-term outcome remains relatively poor for a substantial proportion of patients and is associated with preadolescent onset, poor premorbid adjustment, poor cognitive functioning, cerebral asymmetry, and negative symptoms during prodromal and post-onset phases. Poor quality of life is related to residual psychopathology, long delays in treatment, and poor premorbid adjustment. The potential effects of improved treatment and/or early intervention on functional outcome and quality of life have not been adequately examined, nor have the interrelationships between predictors and the underlying processes involved in determining variations in outcome. Studies of functional outcome still lack the rigor of operational definitions, choice of specific instruments for measurement, and use of large enough samples to generate meaningful results.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".