Efficacy and Safety of Sildenafil Citrate in Women with Sexual Dysfunction Associated with Female Sexual Arousal Disorder
Bibliographic record
Abstract
OBJECTIVE: Sildenafil citrate (Viagra Pfizer, New York, NY) is indicated for the treatment of erectile dysfunction in men. The nitric oxide-cyclic guanosine monophosphate pathway (NO-cGMP) involved in penile erection and enhanced by sildenafil may also play a role in some components of the female sexual arousal response. The efficacy and safety of sildenafil were evaluated in estrogenized and estrogen-deficient women with sexual dysfunction that included female sexual arousal disorder (FSAD). METHODS: Patients were randomized to receive 10-100 mg sildenafil or matching placebo. To assess efficacy, patients completed two global efficacy questions (GEQ), the Life Satisfaction Checklist (LSC), an event log of sexual activity, and a 31-item sexual function questionnaire (SFQ). To assess safety, adverse event (AE) data were recorded. RESULTS: A total of 577 estrogenized and 204 estrogen-deficient women were randomized to treatment. All were diagnosed with FSAD, but it was the primary presenting symptom in only 46% and 50% of women, respectively. Differences in efficacy between sildenafil and placebo were not significant for any patient or partner end points (e.g., the two GEQ, the sexual event logs, the LSC, and the SFQ). The main AE were headache, flushing, rhinitis, nausea, visual disturbances, and dyspepsia, which were generally mild to moderate in nature. CONCLUSIONS: Any genital physiological effect of sildenafil was not perceived as improving the sexual response in estrogenized or estrogen-deficient women with a broad spectrum of sexual dysfunction that included FSAD. Whether more specific subgroups of women with FSAD could potentially benefit from treatment with sildenafil is an area for future research.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| 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".