Open prospective study of ziprasidone in patients with schizophrenia with depressive symptoms: A multicenter study
Bibliographic record
Abstract
AIMS: The goal of this study was to examine the efficacy and safety of ziprasidone to treat depressive symptoms in Korean patients with schizophrenia who showed stable symptoms. METHODS: In this 8-week, open-label, prospective, non-randomized, multicenter study, 34 patients with schizophrenia who showed a stable response to previous medications, maintained a stable dose, and who had depressive symptoms, were recruited. Ziprasidone was the only antipsychotic agent allowed for 8 weeks after a 2-7-week washout period. RESULTS: Steady decreases were observed on the Montgomery-Asberg Depression Rating Scale, the Calgary Depression Scale for Schizophrenia, the Positive and Negative Syndrome Scale, and the Clinical Global Impression-Severity Scale scores. The Montgomery-Asberg Depression Rating Scale score was 20.26 ± 4.77 at baseline and 12.21 ± 7.94 at the end-point (P < 0.01). The Calgary Depression Scale for Schizophrenia score was 9.76 ± 4.11 at baseline and 5.00 ± 3.94 at the end-point (P < 0.01). The Positive and Negative Syndrome Scale total score was 75.24 ± 22.63 at baseline and 66.53 ± 24.28 at the end-point (P < 0.01). The Clinical Global Impression-Severity Scale score was 3.44 ± 0.66 at baseline and 3.15 ± 0.86 at the end-point (P < 0.05). No significant differences were observed for total scores on the Simpson and Angus Rating Scale, the Barnes Akathisia Rating Scale, or the Abnormal Involuntary Movement Scale between the baseline and end-point. CONCLUSIONS: Ziprasidone was effective for improving depressive symptom scores and was well tolerated. Switching to ziprasidone is a good strategy in patients with schizophrenia who are experiencing depressive symptoms.
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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 | 0.000 |
| 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) | 0.000 | 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".