The typology and clinical features of depressions during a period of remission in paroxysmal schizophrenia
Bibliographic record
Abstract
Depressions in patients with schizophrenia in remission are quite common; however, their genesis and clinical features have been insufficiently studied. Objective: to assess the clinical features of depressions occurring in patients with paroxysmal schizophrenia in remission. Patients and methods. 88 patients with nonpsychotic depression who were diagnosed with paroxysmal schizophrenia in drug remission were examined. A total of 200 depressive episodes were analyzed. The patients' status was assessed according to the diagnostic criteria in the ICD-10 Classification of Depressive Disorders. For quantitative evaluation, the investigators used psychometric scales, such as the Calgary Depression Schizophrenia Scale and the PANSS Negative Subscale. Results. There were two types of post-schizophrenic depressions: endogenous and reactive. Endogenous depressions are divided into postpsychotic depressions developing in remission and delayed depressive episodes; reactive depressions are divided into nosogenic and psychogenic. Endogenous depressions represent a stage of the schizophrenic process; reactive ones are a schizophrenic patient's depressive reaction to a stressful situation. The latter occur in patients with a less severe schizophrenic defect, a higher critical attitude toward illness, and a better social and labor adaptation. Endogenous depressions have averagely a longer duration and a greater severity and besides anxiety symptoms, they include asthenic and apathetic symptoms; reactive depressions comprise only anxious and dreary manifestations. Conclusion. Knowledge about the characteristics of depressions in schizophrenia will ensure their more accurate diagnosis and prescribe adequate therapy.
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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 | 0.001 |
| 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".