Assessment of depressive symptoms in hospitalized patients with schizophrenia
Bibliographic record
Abstract
Introduction The prevalence of depressive disorders in patients with schizophrenia is estimated at 25%. Nevertheless, depressive symptoms occurring during the acute decompensation of schizophrenia have rarely been studied. Objectives The aim of our study was to assess depressive symptoms in hospitalized patients suffering from schizophrenia. Methods We conducted a cross-sectional, descriptive and analytical study, including 30 schizophrenic patients, hospitalized in the psychiatry B “department of the Hedi Chaker university hospital in Sfax. The assessment of clinical severity of schizophrenia was performed by the Positive and Negative Syndrome Scale (PANSS), that of depressive symptoms by the “Calgary Depression Scale for Schizophrenia” (CDSS). Results The mean age of patients was 41.2. Most of patients were male (86.7%) and unemployed (83.3%). Only 13.3% of them were married. Patients were hospitalized 8.83 times in average. A personal history of suicide attempts was found in 16.70% of cases. The mean score in the CDSS scale was 5.12. According to the CDSS score, a depressive state was diagnosed in 36.7% % of patients. Depression was associated with significantly more frequent history of suicide attempts (p=0.028), as well as significantly higher scores in the positive dimension of the PANSS (p=0.03). Conclusions Our results show that depressive symptoms are common during the acute decompensation phase of schizophrenia. They are associated with impaired functioning of patients, as well as a higher risk of suicide. Screening for depressive symptoms in patients hospitalized for schizophrenia is therefore essential in order to ensure better management. Disclosure No significant relationships.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".