Baseline prostate inflammation is associated with a reduced risk of prostate cancer in men undergoing repeat prostate biopsy: Results from the REDUCE study
Bibliographic record
Abstract
BACKGROUND: The current study was performed to evaluate whether baseline acute and chronic prostate inflammation among men with an initial negative biopsy for prostate cancer (PCa) increased the risk of subsequent PCa detection in a clinical trial with systematic biopsies. METHODS: A retrospective analysis was performed of 6238 men aged 50 years to 75 years with prostate-specific antigen levels between 2.5 ng/mL and 10 ng/mL and a prior negative biopsy in the REduction by DUtasteride of PCa Events study who completed a 2-year biopsy. PCa, acute prostate inflammation, and chronic prostate inflammation were assessed by central review. The association between inflammation in baseline prostate biopsies and positive 2-year and 4-year repeat biopsies was evaluated with the chi-square test and logistic regression analysis adjusting for baseline covariates. RESULTS: Acute and chronic inflammation and both were detected in 46 baseline biopsies (1%), 3931 baseline biopsies (63%), and 892 baseline biopsies (14%), respectively. Acute and chronic inflammation were found to be significantly associated with each other (P<.001). Acute inflammation at baseline biopsy was associated with younger age, lower prostate-specific antigen levels, and a smaller prostate (all P<.01), whereas chronic inflammation was associated with older age and larger prostate glands (all P<0.01). At the 2-year biopsy, the prevalence of PCa was 14% (N=900 patients). On univariable and multivariable analysis, both acute and chronic inflammation were found to be significantly associated with a lower PCa risk (acute univariable: odds ratio [OR], 0.65 [P<.001] and multivariable: OR, 0.75 [P=.012] and chronic univariable: OR, 0.61 [P<.001] and multivariable: OR, 0.65 [P<.001]). At the time of 4-year biopsy, only acute inflammation was found to be associated with a lower PCa risk. CONCLUSIONS: Baseline acute and chronic inflammation were both found to be independently associated with a lower PCa risk. From a clinical standpoint, inflammation in negative biopsies for PCa may lower the risk of subsequent PCa detection.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".