Testosterone patch for the treatment of hypoactive sexual desire disorder in naturally menopausal women
Bibliographic record
Abstract
OBJECTIVE: To evaluate the efficacy and safety of a testosterone patch for the treatment of women with hypoactive sexual desire disorder after natural menopause. DESIGN: A multicenter, randomized, double-blind, placebo-controlled, parallel-group trial was conducted in naturally menopausal women with hypoactive sexual desire disorder receiving a stable dose of oral estrogen with or without progestin (N = 549). Women were randomized to receive testosterone 300 microg/day or placebo patches twice weekly for 24 weeks. The primary efficacy measure was change from baseline in frequency of total satisfying sexual activity over a 4-week period (weeks 21-24). RESULTS: A total of 483 women (88%) were included in the primary analysis population (those with baseline sex hormone binding globulin levels < or = 160 nmol/L). The change from baseline in number of total satisfying sexual episodes was significantly greater for testosterone compared with placebo (participants with baseline sex hormone binding globulin levels < or = 160 nmol/L, mean change of 2.1 +/- 0.28 versus 0.5 +/- 0.23 episodes/4 weeks; P < 0.0001; intent-to-treat population, mean change from baseline of 1.9 +/- 0.26 versus 0.5 +/- 0.21 episodes/4 weeks, P < 0.0001). Testosterone also produced statistically significant improvements compared with placebo in all secondary efficacy measures, including sexual desire and personal distress. The testosterone patch was well tolerated. CONCLUSIONS: Testosterone patch treatment increased the frequency of satisfying sexual activity and sexual desire, decreased personal distress, and was well tolerated in naturally menopausal women with hypoactive sexual desire disorder.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".