[Depressions in schizophrenic patients after the management of acute psychosis].
Bibliographic record
Abstract
The study of depressions in 183 schizophrenic patients after the management of acute psychosis included evaluation of depressive symptoms, their relation to other psychopathologic syndromes, and the efficiency of drug therapy. The Calgary scale (CDSS) was used to assess severity of depression in schizophrenia along with other standardized psychometric scales to characterize general psychopathologic, positive, and negative symptoms, locomotor disturbances, other concomitant disorders, and general clinical picture. The predominance of depressive conditions with adynamic symptoms was documented. The majority of depressions occurred after the first attack. Those developing in the early post-attack period differed from depressions within a few months after the reduction of psychosis. Syndromic nature of depressions was evident from the number of psychotic episodes experienced by the patients. Depressive symptoms that developed after the management of the acute psychotic state could be efficiently and safely relieved by additional differential treatment with antidepressants. Depressive symptoms in schizophrenia are not predictors of poor prognosis provided the patient receives adequate therapy. More attention is needed to identification and adequate treatment of depression in schizophrenia. Optimized therapy of affective disorders in schizophrenic patients permits to improve prognosis of the disease.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".