Modern-day prostate cancer is not meaningfully associated with lower urinary tract symptoms: Analysis of a propensity scorematched cohort
Bibliographic record
Abstract
INTRODUCTION: We sought to determine if prostate cancer (PCa) is associated with worse lower urinary tract symptoms (LUTS) than matched benign prostates, with attention to cancer characteristics, in a contemporary cohort. METHODS: Using a single-institution database (January 1, 2009-June 30, 2013), men diagnosed with PCa on biopsy and controls with negative biopsies were matched 1:1 on age, prostate volume, and a propensity score predicting the probability of PCa diagnosis. International Prostate Symptom Score (IPSS) was compared between PCa cases and controls using paired statistics, stratifying on grade, cancer volume, stage, and D'Amico risk group. Sensitivity analyses were performed separately, repeating the match for high-grade, high-volume, and high-stage cancers only, and excluding users of benign prostatic hyperplasia medications. RESULTS: In our cohort of 1330 men (665 with PCa), there were 284 (42.7%) Gleason 6 cancers (Grade Group 1), 315 (47.4%) Gleason 7 cancers (Grade Group 2-3), and 66 (9.9%) Gleason 8-10 cancers (Grade Group 4-5). There was no difference in IPSS between PCa cases (median 6.5, interquartile range [IQR] 3-12) and benign controls (median 7, IQR 3-13; p=0.34). Subgroup analyses based on cancer grade, volume, or stage, showed no significant differences in IPSS between men with and without PCa, except among men with cT2b-cT4 PC (median 9, IQR 5-16) vs. matched benign counterparts (median 8, IQR 3-12; p=0.03). Sensitivity analyses supported these findings. CONCLUSIONS: Modern PCa does not appear to be associated with worse LUTS compared to benign prostates of the same size. Outlet obstruction is likely a late event in the natural history of PCa. This has implications for timely PCa detection, which should ideally be prior to the onset of LUTS.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".