Effectiveness of Switching to Aripiprazole From Atypical Antipsychotics in Patients With Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: To examine changes in cognitive function and clinical features after a switch from atypical antipsychotics to aripiprazole in patients with schizophrenia. METHOD: Sixty-one patients with schizophrenia treated with atypical antipsychotics participated in this open-label, 26-week study. Antipsychotics were switched to aripiprazole, and neurocognitive functions were measured at 12 and 26 weeks using the computerized battery. The secondary outcome measures were the Positive and Negative Syndrome Scale, the Social and Occupational Functioning Assessment Scale, the Calgary Depression Scale for Schizophrenia, the Subjective Well-being Under Neuroleptics Scale, and the Drug Attitude Inventory (DAI). The safety measures included metabolic parameters, the Simpson-Angus Rating Scale, the Barnes Akathisia Scale, and the Abnormal Involuntary Movement Scale. RESULTS: Significant improvements in cognitive function were observed in the Verbal Learning Test, the Wisconsin Card Sorting Test, and the Trail Making Test part A after a switch to aripiprazole. Scores on the Positive and Negative Syndrome Scale, the Social and Occupational Functioning Assessment Scale, the DAI, the Simpson-Angus Rating Scale, and the Abnormal Involuntary Movement Scale were significantly improved. The metabolic parameters, including serum cholesterol levels, were also improved. The changes in cognitive measures were not correlated with the changes in positive symptoms or movements scales. The improvement of the scores on the DAI and the delayed recall of the Verbal Learning Test were significantly greater in the patients treated with antipsychotics for less than 1 year than in those treated for more than 1 year, in whom the improvement in metabolic parameters was significantly greater. CONCLUSIONS: Patients with schizophrenia who switched from their previous antipsychotics to aripiprazole demonstrated improvements in cognitive function, psychotic symptoms, social function, attitude toward medication, and metabolic abnormalities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".