Low-volume grade group 2 prostate cancer candidates for active surveillance: a radical prostatectomy retrospective analysis
Bibliographic record
Abstract
Objective Guidelines support considering selected men with ISUP grade group (GG) 2 prostate cancer for active surveillance (AS). We assessed the association of clinical variables with unfavorable pathology at radical prostatectomy in low-volume GG 2 prostate cancer on biopsy in a retrospective cohort.Materials and methods This was a retrospective analysis of 378 men with low-volume (≤ 2 cores) GG 2 localized prostate cancer who underwent prostatectomy at a single tertiary cancer center. Multivariable logistic regression of unfavorable pathology, upgrading to ≥ T3, or GG ≥ 3 was performed in relation to clinical factors, common variables used in AS in GG 1 and percentage Gleason 4 at biopsy. We compared the performance of potential variables with commonly used combined AS restrictions in GG 1 prostate cancer.Results In total, 128/378 (34%) men had unfavorable pathology at radical prostatectomy. On multivariable analysis, > 5% Gleason pattern 4 was independently associated with an increased risk of GG ≥ 3. A maximum percentage core involvement > 50% was independently associated with an increased risk of pT-stage ≥ 3 and unfavorable pathology. Restriction to patients with ≤ 5% Gleason 4 decreased the upgrading of both unfavorable pathology (OR = 0.62, p = 0.041) and GG ≥ 3 (OR = 0.17, p = 0.0007) compared to the full cohort, while restriction to those with ≤ 50% of max core involvement did not.Conclusion In low-volume GG 2, the percentage of Gleason 4 of ≤ 5% was the strongest predictor in reducing upgrading at final pathology. This easily available pathological descriptor could be used to guide urologists and patients when considering AS in this setting.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".