Assessing dutasteride‐associated sexual dysfunction using the U.S. Food and Drug Administration Adverse Event Reporting System
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: Incidences of sexual dysfunction due to the use of 5 α-reductase inhibitors have been suggested. Despite low sexual dysfunction reported in clinical trials, an analysis of the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database revealed a significant disproportionality in the reporting of sexual dysfunction with the use of finasteride. Therefore, it is likely that a similar relationship with dutasteride may exist. OBJECTIVE: To determine whether dutasteride use leads to a higher risk of sexual dysfunction compared to a baseline risk for all other drugs using the 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. Cases of dutasteride-associated sexual dysfunction were compared to a reference risk of sexual dysfunction for all other drugs in the database. RESULTS: A significant disproportionality in reporting of sexual dysfunction with the use of dutasteride was observed. The disproportionality was present for all age ranges except for 31-45 years where there were few overall reports of adverse events. LIMITATIONS: Adverse events can be underreported, and selection bias is inherent in the FAERS. CONCLUSION: Dutasteride use is associated with an increase in reports of sexual dysfunction.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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