A multicenter, double-blind, placebo-controlled study of sildenafil citrate in Canadian men with erectile dysfunction and untreated symptoms of depression, in the absence of major depressive disorder
Bibliographic record
Abstract
Depression and erectile dysfunction (ED) often co-occur. Phosphodiesterase type 5 inhibitors are effective in men with ED and untreated depression, or ED secondary to antidepressants. This study evaluated sildenafil treatment in Canadian men with clinically diagnosed ED (Sexual Health Inventory for Men score ≤ 21) and mild-to-moderate untreated depressive symptoms [Beck Depression Inventory II (BDI-II) score 14-28], but excluding major depressive disorder. Pretreatment screening using the Sexual Health Inventory for Men and BDI-II showed that men with ED were more likely to have depression than men without ED, and ED severity was a predictor of depression (P=0.0226). Two hundred and two men were randomized to 6 weeks of double-blind treatment with placebo (n=98) or sildenafil (n=104), initial dose of 50 mg, adjustable to 25 or 100 mg. The men were evaluated on all domains of the International Index of Erectile Function and the Sex Effects Questionnaire, Global Efficacy Questions, and Event-log data. Compared with placebo, patients treated with sildenafil had significantly greater changes from baseline in BDI-II scores (P<0.001). All International Index of Erectile Function domains and the Sex Effects Questionnaire components were also significantly improved in sildenafil group (P<0.01). The most common adverse events included headache, dyspepsia, vasodilatation, and respiratory tract infections and were generally mild in intensity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".