Forms of antipsychotic therapy: improved individual outcomes under personalised treatment of schizophrenia focused on depression
Bibliographic record
Abstract
Depressive symptoms are common in schizophrenia and they can occur during any phase of the disorder. Early diagnosis, adequate differential diagnosis and promptly initiated interventions have been shown to reduce further deterioration of illness and to improve patients' quality of life. Common psychiatric rating scales for early detection of depressive symptoms in schizophrenia are Calgary Depression Scale for Schizophrenia and Hamilton Depression Rating Scale, but the most appropriate assessment instrument today regarding this topic is Calgary Depression Scale for Schizophrenia. Treatment of depression in schizophrenia consists of a combination of pharmacologic and psychosocial approach. Atypical antipsychotics have advantages over typical in reducing depressive symptoms in the context of schizophrenia. Most of the studies referred that clozapine, olanzapine, quetiapine and risperidone have an antidepressant spectrum of activity in patients with schizophrenia. Antidepressant augmentation of antipsychotic treatment in schizophrenic patients with depressive symptoms improves depressive symptomatology, particularly SSRI and SNRI augmentation.
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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 | 0.001 |
| 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 | 0.000 |
| 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".