The association of the type and number of D’Amico high-risk criteria with rates of pathologically non-organ-confined prostate cancer
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Bibliographic record
Abstract
Introduction: The aim of this study was to assess the association between the type and number of D'Amico high-risk criteria (DHRCs) with rates of pathologically non-organ-confined (NOC) prostate cancer in patients treated with radical prostatectomy (RP) and pelvic lymphadenectomy (PLND). Material and methods: In the Surveillance, Epidemiology, and End Results database (2004-2016), we identified 12961 RP and PLDN patients with at least one DHRC. We relied on descriptive statistics and multivariable logistic regression models. Results: Of 12 961 patients, 6135 (47%) exclusively harboured biopsy Gleason score (GS) 8-10, 3526 (27%) had clinical stage ≥T2c, and 1234 (9.5%) had prostate-specific antigen (PSA) >20 ng/mL. Only 1886 (15%) harboured any combination of 2 DHRCs. Finally, all 3 DHRCs were present in 180 (1.4%) patients. NOC rates increased from 32% for clinical T stage ≥T2c to 49% for either GS 8-10 only or PSA >20 ng/mL only and to 66-68% for any combination of 2 DHRCs, and to 84% for respectively all 3 DHRCs, which resulted in a multivariable logistic regression OR of 1.00, 2.01 (95% CI 1.85-2.19; p <0.001), 4.16 (95% CI 3.69-4.68; p <0.001), and 10.83 (95% CI 7.35-16.52; p <0.001), respectively. Conclusions: Our study indicates a stimulus-response effect according to the type and number of DHRCs. Hence, a formal risk-stratification within high-risk prostate cancer patients should be considered in clinical decision-making.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 it