Risk of Incident Antidepressant‐Treated Depression Associated with Use of 5α‐Reductase Inhibitors Compared with Use of α‐Blockers in Men with Benign Prostatic Hyperplasia: A Population‐Based Study Using the Clinical Practice Research Datalink
Bibliographic record
Abstract
STUDY OBJECTIVE: To estimate the risk of incident antidepressant-treated depression in men with benign prostatic hyperplasia (BPH) who were prescribed 5α-reductase inhibitors (5-ARIs) compared with those prescribed an active comparator, α-blockers (ABs). DESIGN: Retrospective cohort study with a nested case-control analysis. DATA SOURCE: United Kingdom's Clinical Practice Research Datalink. PATIENTS: A total of 77,732 men with a diagnosis of BPH who received a prescription for a 5-ARI only and/or AB between January 1, 1992, and December 31, 2013. Of these men, 2842 had a first-time (incident) diagnosis of depression and received a prescription for an antidepressant within 90 days of the depression diagnosis date (cases); 11,333 controls without a diagnosis of depression were matched to the cases for the case-control analysis. MEASUREMENTS AND MAIN RESULTS: Exposures were classified as 5-ARI only, 5ARI + AB, or AB only. We calculated incidence rates of antidepressant-treated depression and compared rates among users of 5-ARIs only and 5-ARIs + ABs with rates among users of ABs only (i.e., incidence rate ratios [IRRs]). We also calculated odds ratios (ORs) to estimate the risk of incident depression with use of 5-ARIs only and 5-ARIs + ABs compared with ABs only. In this population of men with BPH, the risk of depression was not increased with use of 5-ARIs only (IRR 0.94, 95% confidence interval [CI] 0.85-1.04) or 5-ARIs + ABs (IRR 1.04, 95% CI 0.89-1.21) compared with use of ABs only. In the case-control analysis, exposure to 5-ARIs only (adjusted OR 0.88, 95% CI 0.78-1.01) or 5-ARIs + ABs (adjusted OR 0.90, 95% CI 0.73-1.10) was not associated with the risk of treated depression compared with exposure to ABs only, and results remained null regardless of number of prescriptions or timing of exposure. The risk of incident antidepressant-treated depression increased with longer duration of BPH, independent of study drug exposure. CONCLUSION: In this population of men with treated BPH, use of 5-ARIs, alone or in combination with ABs, did not increase the risk of incident antidepressant-treated depression compared with use of ABs only. Risk of treated depression increased with longer duration of BPH.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".