Changes in symptom content from a clinical high‐risk state to conversion to psychosis
Bibliographic record
Abstract
AIM: There is an interest in the transition to psychosis for those at clinical high risk of developing psychosis. This transition is typically determined by a change in severity of the attenuated symptoms as they reach a psychotic level. However, any concomitant change in the content of such symptoms has not been examined. The current study aimed to examine potential qualitative changes in the symptom content from a clinical high-risk state to a first episode of psychosis. METHODS: Sixty-seven individuals, who had been identified as meeting the attenuated psychotic syndrome based on the Structured Interview of Psychosis-Risk Syndromes and who later developed a full-blown psychosis were included in the study. Comprehensive clinical vignettes were written and raters were trained using the Content of Attenuated Psychotic Symptoms codebook to code for the presence of specific symptom content found within the attenuated psychotic symptoms of unusual thought content, suspicious ideas, grandiose ideas and perceptual abnormalities. RESULTS: Two main changes in symptom content from baseline to conversion were observed. First, content that was vague and lacked intensity progressed to being more specific, concrete and severe. Second, new symptoms appeared whose onset occurred for the first time at conversion. CONCLUSION: A change in symptom content should be monitored by clinicians, as changes in content may be indications of a possible transition to psychosis.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".