Bibliographic record
Abstract
INTRODUCTION: Erectile dysfunction (ED) affects over 150 million men worldwide. Oral phosphodiesterase-5 (PDE5) inhibitors are currently used as a first-line therapy and a second-line therapy with either intracavernosal (Caverject) or intraurethral (MUSE) alprostadil is required for a few men who show poor response or intolerance to PDE5 inhibitors. AREAS COVERED: This article reviews the pharmacology, pharmacokinetics, medical applications, efficacy and safety of alprostadil in the treatment of men with ED. The goal of this article is to review the currently published clinical data of alprostadil to establish its potential role in managing men, in particular, those who fail to respond to traditional PDE5 inhibitors. Relevant articles and abstracts were reviewed from PUBMED and conference proceedings. EXPERT OPINION: Alprostadil, a synthetic form of prostaglandin E1, is used as second-line therapy in managing men with ED. It has a unique role in men with ED secondary to diabetes and ED secondary to radical pelvic surgery (e.g., radical prostatectomy). In view of these new indications, the role of alprostadil is being redefined. Both intracavernosal and intraurethral alprostadil are approved for use in all countries, and following positive results from recent Phase III trials, topical alprostadil has gained approval in Canada.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".