Depression in the structure of schizophrenia: clinical and biochemical characteristics
Bibliographic record
Abstract
THE AIM OF THE STUDY: Was to investigate clinical and biochemical correlates of depression in the structure of schizophrenia to improve its diagnosis and differential diagnosis and to deepen understanding of mechanisms of schizophrenia development. Material and Methods. Forty-two inpatients at the stabilization stage of paranoid schizophrenia, aged 29.5±5.9 years, of whom 64.3% were women, were examined. The duration of the disease was 5.6±6.3 years. We used clinical and psychopathological methods, clinical scales (PANSS, SANS, BACS, Calgary Scale), catamnestic and clinic-laboratory methods (determination of brain-derived neurotrophic factor BDNF, proinflammatory cytokine interleukin-6, C-reactive protein). Results. At the stabilization stage, depression in patients with paranoid schizophrenia occurred in 19% of cases, more frequently in women. Female patients were more severely depressed, which was associated with an increased concentration of C-reactive protein, while negative symptoms predominated in male patients as compared to females. The presence of depression correlates with a lower severity of psychopathological, primarily positive symptoms and with a greater severity of neurocognitive deficit in schizophrenic patients. BDNF level directly correlates with the severity of positive and negative symptoms, and the level of interleukin 6 at the stage of remission formation does not differ from that in healthy individuals. C-reactive protein levels are associated with the characteristics of the course of 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 | 0.000 | 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 | 0.001 |
| 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".