Bibliographic record
Abstract
BACKGROUND: Women's sexual function is known to be strongly influenced by mental health and relationship factors. Biological factors interrupting sexual function that might potentially be remedied by pharmacological agents are less clear. OBJECTIVES: To examine the role of medications for women's sexual dysfunction. METHODS: Searches were done using Medline, Embase, Lilacs and Pubmed databases. CONCLUSIONS: Although drugs designed to boost initial sexual desire have been trialed, amelioration of reduced sexual arousability may be a more appropriate target. There is limited evidence of pharmacological benefit to arousability so far. Local oestrogen therapy benefits reduced genital vasocongestion from vulvar vaginal atrophy. Drugs acting to enhance the actions of nitric oxide or vasoactive intestinal polypeptide can only benefit reduced genital congestion: most women complaining of low arousal have normal genital vasocongestion in response to sexual stimulation. In the context of autonomic neuropathies, phosphodiesterase inhibitors may be indicated. Early results of sexual benefit from local administration of dihydroepiandrosterone allowing intracellular production of oestrogen and testosterone in genital tissues post menopause seem promising.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| 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) | 0.009 | 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".