The effect of surgical volume on the rate of secondary therapy after radical prostatectomy
Bibliographic record
Abstract
15620 Introduction and Objective: Some argue that prostate cancer (PCa) detection and treatment at a younger age may translate into higher rate of clinically insignificant PCa. We assessed the effect of patients age at diagnosis on the pathological stage at radical prostatectomy (RP). Methods: Clinical and pathological data were available for 11975 patients from 3 European and 3 North American tertiary care centers. All RPs were performed between 1987 and 2006. Univariable and multivariable logistic regression analyses addressed the effect of age at RP on the rate of extracapsular extension (ECE), seminal vesicle invasion (SVI) and lymph node invasion (LNI), after controlling for PSA, clinical stage, biopsy Gleason sum and year of surgery. Age at RP was coded as cubic spline to allow non-linear effects. Results: Mean age was 61.6 years (range 32–85) and mean PSA was 8.7 ng/mL (range 0.1–50.0). Biopsy Gleason sum was 2–6, 7 or 8–10 in 7510 (62.7%), 3656 (30.5%) and 809 (6.8%) patients, respectively. At RP, ECE, SVI and LNI were identified in 3383 (28.3%), 1309 (10.9%) and 469 (3.9%), respectively. In multivariable analyses, age was only an independent predictor of SVI (p<0.001). Older men had a higher rate of SVI. Conclusions: Pathological age only affects the rate of SVI. However, only one in ten men harbored SVI and this percentage may decrease even further with ongoing stage migration. Nonetheless, these data suggest that the removal of seminal vesicles should not be omitted in older men. No significant financial relationships to disclose.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".