Asenapine for the Treatment of Psychotic Disorders
Bibliographic record
Abstract
OBJECTIVE: A systematic review was conducted to examine the efficacy, tolerability, and acceptability of asenapine compared with other antipsychotics in the treatment of psychotic disorders. METHODS: Four databases, 8 trial registries, and conference presentations were searched for randomized clinical trials of asenapine versus any comparator for the treatment of any psychotic illness. Primary outcome measures were changes in the Positive and Negative Syndrome Scale (PANSS) total score and the incidence of withdrawal due to adverse effects. RESULTS: Eight randomized clinical trials, encompassing 3765 patients, that compared asenapine with placebo ( n = 5) and olanzapine ( n = 3) were included. No differences were found between asenapine and olanzapine in terms of changes to PANSS total or PANSS negative subscale scores. Patients taking asenapine were more likely to experience worsening schizophrenia and/or psychosis than were those taking olanzapine. No differences were found between asenapine and olanzapine in rates of discontinuation due to adverse drug reactions or lack of efficacy, but those taking asenapine had higher rates of withdrawal for any reason than those taking olanzapine. Asenapine caused less clinically significant weight gain or increases in triglycerides than olanzapine and was more likely to cause extrapyramidal symptoms than olanzapine. In comparison to placebo, either no difference or superiority was demonstrated in favour of asenapine on all efficacy measures. CONCLUSION: The current evidence is limited, as asenapine has been compared only with placebo or olanzapine. In the randomized clinical trials analysed, asenapine was similar or superior to placebo and similar or inferior to olanzapine on most efficacy outcomes. While asenapine demonstrated fewer adverse metabolic outcomes than olanzapine, rates of extrapyramidal symptom-related adverse effects were higher.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".