Women's Sexual Function Improves When Partners are Administered Vardenafil for Erectile Dysfunction: A Prospective, Randomized, Double-Blind, Placebo-Controlled Trial
Bibliographic record
Abstract
INTRODUCTION: There are limited data concerning the sexual function of women whose male partners receive pharmacological treatment for erectile dysfunction (ED). AIM: One objective of this research was to prospectively compare the efficacy of vardenafil vs. placebo administered to men with ED in improving men's and women partners' sexual function and satisfaction. Another goal was to assess the relationship of erectile function changes in men with ED receiving treatment with sexual function changes in women partners not directly receiving treatment. METHODS: A randomized, double-blind, placebo-controlled, multi-institutional comparison of vardenafil vs. placebo was performed in 229 couples (treated man with ED>6 months and untreated woman partner). Co-primary outcomes for which this research was statistically powered were Sexual Encounter Profile (SEP3) (treated man with ED) and Sexual Life Quality Questionnaire (mSLQQ-QOL) (untreated woman partner). MAIN OUTCOME MEASURES: Erectile function changes in men with ED receiving vardenafil vs. placebo were compared at last observation carried forward (LOCF) in SEP3, International Index of Erectile Function (IIEF-EF) and Erection Quality Scale (EQS). Sexual function at LOCF in women partners was determined by mSLQQ-QOL and Female Sexual Function Index (FSFI). RESULTS: Compared with placebo at LOCF, vardenafil significantly increased least square (LS) mean scores in: (i) overall per-treated male SEP3 success rate, IIEF-EF, and EQS; and (ii) mSLQQ-QOL, total FSFI and sexual desire, subjective arousal, lubrication, orgasm and satisfaction FSFI domains in untreated women partners. Treatment-related improvement in erectile function as assessed by IIEF-EF and EQS was correlated reliably with improvement in women partners' FSFI total and individual domain scores. CONCLUSIONS: Vardenafil is an effective ED treatment in men that also significantly improves sexual function/satisfaction in untreated women partners. Women partners' sexual function improvements relate significantly and consistently to treatment-related improvements in men's erectile function. ED management should emphasize both members of the couple.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".