Assessing finasteride‐associated sexual dysfunction using the<scp>FAERS</scp>database
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Postmarketing reports suggest that finasteride causes sexual dysfunction despite a low incidence reported in clinical trials. Therefore, the extent of risk remains unknown. OBJECTIVE: To determine whether the risk of sexual dysfunction is higher among individuals treated with finasteride compared to a baseline risk for all other drugs using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database. METHODS: A case by non-case disproportionality approach was used whereby a reporting odds ratio (ROR) with 95% confidence interval (CI) was calculated. The National Ambulatory Medical Care Survey (NAMCS) was used to confirm results. RESULTS: A significant disproportionality in reporting of sexual dysfunction with the use of finasteride was observed whether finasteride was indicated for hair loss (ROR = 138.17, 95% CI: 133.13, 143.4), prostatic hyperplasia (ROR = 93.88, 95% CI: 84.62, 104.16) or any indication (ROR = 173.18, 95% CI: 171.08, 175.31). When these results were stratified by age, disproportionality was strongest at 31-45 years. CONCLUSION: Use of finasteride has led to an increase in reports of sexual dysfunction where it is believed to be the primary suspect.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it