5-Alpha Reductase Inhibitor Use and Prostate Cancer Prevention: A Victim of the Times?
Bibliographic record
Abstract
Vaselkiv and colleagues present strong evidence of the long-term safety of 5-alpha reductase inhibitor (5-ARI) use. They demonstrated no association with developing advanced prostate cancer, nor dying of prostate cancer. This commentary covers the strengths and weaknesses of the article, and highlights the long and vacillating journey 5-ARIs and prostate cancer prevention have traveled. As 5-ARIs preferentially prevent low-grade prostate cancer, a fact confirmed in the study by Vaselkiv and colleagues, this commentary highlights how 5-ARI chemoprevention may be irrelevant now. With increasing use of active surveillance for low-grade prostate cancers found, and prebiopsy MRI and biomarkers shifting focus to only find those clinically significant cancers, it maybe that 5-ARIs are a victim of the times in their chemoprevention role. See related article by Vaselkiv et al., p. 1460.
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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 | 0.005 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.039 | 0.031 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".