Bibliographic record
Abstract
OBJECTIVES: To review the published literature on aripiprazole once monthly, a second generation antipsychotic (SGA) recently developed as a long-acting injection (LAI), in the form of a suspension of lyophilized aripiprazole reconstituted with an aqueous diluent, for intramuscular administration. METHODS: An electronic database search was conducted using the key words; relevant articles were then hand searched and websites (FDA, EMA, Otsuka, Lundbeck, NIH) reviewed. RESULTS: Efficacy has been demonstrated in preventing relapse in a 52 week study versus placebo, and non-inferiority to oral aripiprazole in a 38 week study, as well as in the treatment of hospitalized adult patients with acutely relapsed schizophrenia. Aripiprazole LAI appears cost-effective versus other SGA-LAIs, with improved health-related quality of life and functioning in a head-to-head study with paliperidone LAI. A 6 month (pre and post), mirror-image switch study demonstrated a reduction in hospitalization and associated costs compared with previous antipsychotic treatment. Safety and tolerability are comparable to oral aripiprazole with no new safety signals. CONCLUSIONS: Experience with oral aripiprazole and the current availability of the long-acting formulation suggest a potential benefit in a variety of clinical scenarios and therefore consideration as a treatment option in the treatment of schizophrenia.
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 | 0.002 |
| 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) | 0.006 | 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".