Bibliographic record
Abstract
INTRODUCTION: Olanzapine long-acting injection (OLAI), or olanzapine pamoate , is one of three second generation (SGA) antipsychotics now available in a long-acting formulation. OLAI is a microcrystalline salt of pamoic acid and olanzapine suspended in an aqueous solution that slowly dissociates into the separate components once injected intramuscularly (im) into gluteal muscle. AREAS COVERED: A systematic search of databases including PubMed, PsychInfo, and Embase was conducted using the keywords. Relevant articles were then hand searched and relevant websites (FDA, EMA, Eli Lilly, and NIH) were also reviewed. EXPERT OPINION: Efficacy has been demonstrated in the short term and maintenance treatment of schizophrenia with OLAI at doses of 150 - 300 mg every two weeks or 405 mg every four weeks. The overall side effect profile is similar to oral olanzapine. While injection site complications are mild, there is an incidence rate per injection of 0.07 % (incidence rate per patient of 1.4%) of post-injection delirium sedation syndrome (PDSS). This manifests as overdose-like symptoms which necessitates mandatory administration and continuous monitoring of OLAI by health care professionals for the first three hours in a suitable clinical facility. As a consequence, final regulatory approval was delayed and market release and clinical use have been limited.
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) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 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) | 0.007 | 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".