Depressive symptoms in patients with schizofrenia or schizoaffective disorder, prevalence and importance in subjective evaluation. 4D study
Bibliographic record
Abstract
Introduction Depressive symptoms in patients with schizophrenia has been associated with overall worse outcomes. Objective Assess the prevalence and evolution of depressive symptoms, measured with the Calgary Depression Scale for Schizophrenia (CDSS), and its importance in subjective evaluation. Methods Non-interventional, prospective (6 moths of follow-up) study of a cohort of patients with schizophrenia of schizoaffective disorders who have had a clinical relapse that required a change in the therapeutic strategy. Results 305 patients were included, 288 (94.4%) was the population analyzed and 272 (89.1%) completed the follow-up. 226 (78.5%) of patients have a diagnosis of schizophrenia, the rest were diagnosed of schizoaffective disorder. CDSS (unlike SWN-K, PANSS, DAI-10, ICG-G nor PSP) at baseline was correlated (r = −0.18497, p = 0.0016) with Patient Global Impression (PGI) in month_6. Depressive symptoms were the only ones at baseline with statistically significant association to positive response in SWN-K and PGI in the multivariate analysis. Conclusions Over 50% of patients had depression in relapse time, with a good progress of those symptoms in the follow-up period. Depressive symptoms were the unique at baseline associated with a good subjective evaluation from the patient.
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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 | 0.000 |
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".