Aripiprazole for the maintenance treatment of bipolar disorder: a review of available evidence
Bibliographic record
Abstract
We aimed to review and synthesize results reporting on the maintenance efficacy of Aripiprazole in adults with bipolar I disorder. Aripiprazole is FDA approved for the acute and maintenance treatment of bipolar I disorder. Aripiprazole's efficacy during the long-term treatment of bipolar disorder is supported by extension of acute phase studies and long-term (ie, 100-week) double-blind placebo controlled recurrence prevention registration trials. Aripiprazole is not established as efficacious in the acute or maintenance treatment of bipolar depression. Moreover, aripiprazole's efficacy during the acute or maintenance phase of bipolar II disorder has not been sufficiently studied. Aripiprazole has a relatively lower hazard for metabolic disruption and change in body composition when compared to other atypical agents (eg, olanzapine, quetiapine). Moreover, aripiprazole has minimal propensity for sedation, somnolence and prolactin elevation. Aripiprazole is associated with extrapyramidal side effects, notably akathisia, which in most cases is not severe or treatment limiting. Future research vistas are to explore aripiprazole's efficacy in bipolar subgroups; recurrence prevention of bipolar depression; and in combination with other mood stabilizing agents.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".