Prevalence and clinical correlates of depression in the acute phase of first episode schizophrenia
Bibliographic record
Abstract
BACKGROUND: Reported rates of depression in schizophrenia vary considerably. OBJECTIVE: To measure the prevalence of depression in a first episode sample of people with schizophrenia. METHODS: All referrals with a first episode of schizophrenia diagnosed using SCID interviews were assessed pre-discharge and again six months later. We used the Calgary Depression Scale for Schizophrenia (CDSS) and Positive and Negative Syndrome Scale (PANSS) to assess the severity of symptoms. RESULTS: Pre-discharge, 10.4% of the sample met CDSS criteria for depression. According to the PANSS depression (PANSS -D) subscale, 3% of patients were depressed, with a mean score of 7.48 (SD = 2.97). Only 3% of patients pre-discharge were found to be depressed on both the CDSS and the PANSS-D. Six months later 6.5% were depressed according to the CDSS. However none reached depression criteria according to the PANSS-D. The CDSS correlated with PANSS-D both pre-discharge and at follow-up. Feelings of depression and self-deprecation were the most common symptoms at baseline and follow-up. The CDSS was unrelated to negative symptoms at both stages. A lifetime history of alcohol abuse increased the risk for depression. CONCLUSION: Rates of depression in this sample were low. The CDSS appears to discriminate between depression and negative symptoms. Like the general population, alcohol misuse is a risk factor for depression in first episode schizophrenia.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".