Indicators of treatment of schizophrenia in different stages of psychiatric care
Bibliographic record
Abstract
Objective. To study indicators of treatment of schizophrenia in different stages of psychiatric care, to reveal prognostic factors of the dynamics of psychopathological symptoms in treatment of schizophrenia and to estimate the risk of schizophrenia relapse. Material and methods. Three hundreds of patients, aged 18-65 years, diagnosed with schizophrenia (ICD-10) were included in data analysis. Patients were stratified into 4 groups by the type of psychiatric care: inpatients (n=68), outpatients of day hospital (n=71), outpatients of psychoneurological dispensary rehabilitation department (n=75) and outpatients supervised by psychoneurological dispensary local doctor. Treatment characteristics (use of 1st and 2nd generation antipsychotics) of these groups were compared. Results and conclusion. The positive effect of modern antipsychotics on schizophrenia course, frequency of relapses and hospitalizations was identified. The results can help in improvement of psychiatric care due to wide implementation of 2nd generation antipsychotics.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".