Aripiprazole: pharmacology and evidence in bipolar disorder
Bibliographic record
Abstract
Aripiprazole is a psychotropic agent with a novel pharmacologic profile. The purpose of this article is to review the pharmacology, efficacy and safety of aripiprazole in bipolar disorder. The authors conducted a PubMed search of all English-language articles published between January 1995 and February 2007. The key search term was 'aripiprazole' combined with: 'randomized controlled trial', 'pharmacology', 'pharmacokinetics', 'pharmacodynamics', 'depression', 'mania', 'maintenance' and 'bipolar disorder'. Abstracts and proceedings from national and international psychiatric meetings were also reviewed. The search was augmented with a manual review of relevant article reference lists. This review is limited to pivotal registration, as well as acute and maintenance, randomized controlled trials in bipolar disorder. Aripiprazole is established as efficacious in acute mania and in the maintenance treatment of bipolar disorder. Aripiprazole has a favorable safety and tolerability profile, with minimal propensity for clinically significant weight gain and metabolic disruption. Extrapyramidal side effects, such as akathisia, are reported and may be treatment limiting in some cases. The hazard risk for tardive dyskinesia in the bipolar population is unknown. Aripiprazole constitutes an alternative mood-stabilizing pharmacologic avenue in bipolar disorder; its comparative efficacy in long-term recurrence prevention and bipolar depression is a future research vista.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| 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 | 0.002 |
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".