Diagnoses at the first psychotic episode and cognitive functioning
Bibliographic record
Abstract
Objectives To determine the relationship between diagnosis and cognitive functioning in a first‐episode sample. Methods 175 subjects were diagnosed (SCID) on admission to a comprehensive treatment programme for early psychosis and 1 year later. Symptoms (PANSS), social functioning and cognitive functioning (using a comprehensive cognitive battery) were assessed initially and at 1 year. Subjects were divided into three groups: (1) Stable diagnosis of schizophrenia over 1 year (n=84). (2) Initial diagnosis of schizophreniform, brief psychotic disorder, substance induced psychosis or psychosis NOS but who met criteria for schizophrenia at 1 year (n=49) and (3) Stable diagnosis over 1 year of schizophreniform, brief psychotic disorder, substance induced psychosis or psychosis NOS (n=44). Results There were significant differences amongst the three groups at both assessment periods in positive and negative symptoms and social functioning. There were no differences amongst the groups in cognitive functioning. Conclusions Individuals with psychotic disorders who do not go on to develop schizophrenia do not differ significantly in neurocognition from those who do develop schizophrenia, although they may have advantages in other areas.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".