Bibliographic record
Abstract
Objectives: The purpose of this study is to assess the subjective quality of life in stable but symptomatic patients with schizophrenia switched from risperidone or olanzapine to ziprasidone. And we investigated how the subjective quality of life is related with depression, drug attitude, drug satisfaction and psychopathology of schizophrenia. Methods: Twenty-three schizophrenic patients in 3 hospitals were switched to an 8-week, open label, flexible dose(80-160㎎/day) of ziprasidone. Psychiatric status was evaluated by Korean version of 4th Revision of Schizophrenia Quality of Life Scale(SQLS-R4K), Korean version of Calgary Depression Scale for Schizophrenia(KCDSS), Korean version of Drug Attitude Inventory(KDAI-10), Drug Satisfaction Questionaire(DSQ), Positive and Negative Syndrome Scale(PANSS), and Clinical Global Impression scale(CGI) at baseline, day 1, week 4 and week 8. Results: Subjective quality of life and depressive symptom were not improved significantly after switching to ziprasidone. Subjective quality of life was related significantly with depressive symptoms and drug attitude, but not drug satisfaction. Subjective quality of life correlated significantly with total scores and positive symptom scores in PANSS and CGI-S. Conclusion: This study suggests that the subjective quality of life of schizophrenia, who had treated by prior atypical antipsychotics, is not influenced significantly by switching to ziprasidone. Active management for depressive and positive symptoms, and drug side effect is recommended to improve patients' quality of life.
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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".