<p>The effect of time from biopsy to radical prostatectomy on adverse pathologic outcomes</p>
Bibliographic record
Abstract
OBJECTIVE: To assess the impact of time between prostate cancer diagnosis on biopsy and definitive intervention with radical prostatectomy (RP) in regard to adverse pathologic outcomes using a large multi-surgeon database. MATERIALS AND METHODS: We retrospectively reviewed 2,728 patients who underwent RP between 2005 and 2014. Patients were stratified according to biopsy Grade Group (GG). Pathologic outcomes were evaluated for patients with <2 months between biopsy and surgery and then at monthly intervals of up to 6 months. Adverse pathological outcomes were defined as Gleason upgrading from biopsy, the presence of extraprostatic extension (EPE, pT3a) or seminal vesicle invasion (SVI, pT3b), positive surgical margins, and lymph node positivity. The chi-squared test was used for statistical analysis. RESULTS: In total 2,310 patients met the inclusion criteria. Median time from biopsy to surgery was 83 days (range: 61-109 days). No difference was observed for patients in any risk category regarding the adverse pathologic outcomes, including GG upgrade from biopsy to prostatectomy, presence of EPE, SVI, positive surgical margins, and positive lymph node involvement, with delays of up to 6 months between biopsy and RP. Surgical margins were positive in 25% of cases with pT2 disease and 50.2% of cases with pT3 and greater disease. EPE and SVI were present in 24.5% and 7.5% of specimens, respectively. CONCLUSION: Surgical delays of up to 6 months following prostate biopsy were not associated with an increased risk of GG upgrading, EPE, SVI, positive surgical margins, or lymph node involvement.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".