Testosterone treatment of HSDD in naturally menopausal women: the ADORE study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the efficacy and safety of a transdermal testosterone patch (TTP, 300 microg/day) in naturally menopausal women with hypoactive sexual desire disorder (HSDD). METHODS: A total of 272 naturally menopausal women, predominantly not using hormone therapy, were randomized in this 6-month, placebo-controlled, double-blind, multicenter study to receive twice weekly either TTP or an identical placebo. Efficacy endpoints measured were the 4-week frequency of satisfying sexual episodes (SSE) using the Sexual Activity Log, the sexual desire domain of the Profile of Female Sexual Function and distress by the Personal Distress Scale. Safety was assessed by adverse events, laboratory parameters and hormone levels. RESULTS: The TTP group demonstrated significant improvements in SSE (p = 0.0089) as well as in sexual desire (p = 0.0007) and reduced personal distress (p = 0.0024) versus placebo at 6 months (intent-to-treat analysis, n = 247). The results were significant for all three endpoints in the subgroup (n = 199) not using hormone therapy. Similar numbers of women treated with placebo and TTP discontinued (n = 39, 27.5% vs. n = 26, 20%), reported adverse events (including application site reactions) (n = 101, 71.1% vs. n = 81, 62.3%) and withdrew due to adverse events (n = 20, 14.1% vs. n = 9, 6.9%). No clinically relevant changes were noted in laboratory parameters. Serum free and total testosterone levels increased from baseline in the TTP group (geometric means 5.65 pg/ml and 67.8 ng/dl, respectively, at week 24) within the physiological range; no changes were seen in estradiol and sex hormone binding globulin levels. CONCLUSIONS: TTP was effective in treating HSDD and improving sexual function in this study of naturally menopausal women with and without concurrent hormone therapy.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".