The use of five-alpha reductase inhibitors and their association with reclassification and pathologic outcomes in the Canary Prostate Active Surveillance Study (PASS).
Bibliographic record
Abstract
22 Background: The outcomes of patients who enroll in active surveillance (AS) programs for prostate cancer (PCa) while currently taking five-alpha reductase inhibitors (5-ARIs) have not been well defined. Previous studies suggest that the initiation of 5-ARIs after enrolling in AS decreases the rate of reclassification and/or treatment for PCa, but there is still an FDA black box warning about the risk of grade risk prostate cancer while on 5-ARI. The objective of this study was to evaluate the safety of remaining on a 5-ARI after initiating AS for PCa. Methods: All men were enrolled in PASS. Inclusion criteria were current or never 5-ARI user, Gleason 3+3 or 3+4 PCa at diagnosis, ≤ 34% core ratio at diagnosis and ≥ 1 surveillance biopsy. Reclassification was defined as an increase in Gleason score and/or ratio of biopsy cores positive for cancer to ≥ 34%. Results: 1045 men were included in this study, 938 who had never used a 5-ARI and 107 5-ARI users. 5-ARI users had larger prostate volume (51 cc vs 40 cc, p < 0.01), a higher rate of BPH (77% vs 29%, p < 0.01) and older age (65 vs 62 years, p < 0.01). All other clinical parameters, including serum PSA, were statistically similar. Kaplan Meier analysis of any reclassification is shown in the figure. There was no significant difference in any reclassification (p = 0.12). The use of 5-ARI at diagnosis was significantly protective for reclassification in a proportional hazards model (HR 0.68, p = 0.03); this difference was not significant after accounting for serum PSA, BMI, prostate size and positive cores ratio at diagnosis (HR 0.78, p = 0.18). There was no significant effect on adjusted analysis when evaluating for disease upgrading. 171 patients underwent radical prostatectomy (RP), 158 never 5-ARI users and 13 5-ARI users. There were no statistically significant differences when evaluating for Gleason grade or adverse pathology. 5-ARI users had a longer median time to RP (3.6 vs 2.1 years, p = 0.045). Conclusions: There is no association between 5-ARI use at diagnosis and reclassification on AS for men in the Canary PASS cohort. 5-ARI users have a longer median time to RP and do not have more severe PCa at RP.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".