Vaginal oxytocin: an under- or overrated therapy for GSM?
Bibliographic record
Abstract
Genitourinary syndrome of menopause (GSM) is a common cause of genital discomfort and dyspareunia in postmenopausal women, being comprised by a constellation of signs and symptoms directly related to hormonal deficiency.1,2 Externally, there can be atrophy of the labia and clitoris, introital stenosis, phimosis of the prepuce, loss of subcutaneous fat of the labia and mons, and vulvar thinning and loss of elasticity due to reduced elastin and collagen in the tissue. Vaginally, GSM manifests as dryness with an increase in pH and a decrease in superficial cells and vaginal maturation index, resulting in the mucosa lacking rugae and becoming friable, hypopigmented, ulcerated, and erythematous with tears and petechiae.1–3 Oxytocin is a neuropeptide consisting of 9 amino acids that is synthesized in the supraoptic and paraventricular nuclei of the hypothalamus and then stored and secreted by the posterior pituitary into the bloodstream.4 However, oxytocin has also been found to be expressed in peripheral organs such as the ovaries and testicles, and in the gastrointestinal and cardiovascular systems.4 It plays various roles in the body including orgasm, breast milk ejection, and induction of labor by facilitating uterine contractions.4 Oxytocin is recognized by a G protein–coupled receptor that is expressed in vaginal mucosa and interacts with caveolin scaffolding proteins to induce pro- or antiproliferative signaling pathways.5
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".