Is a Treatment Delay in Radical Prostatectomy Safe in Individuals with Low-Risk Prostate Cancer?
Bibliographic record
Abstract
INTRODUCTION: Many patients diagnosed with localized prostate cancer (PCa) are presented with several treatment modalities, which may require time to understand these options before making an informed decision regarding treatment. AIM: The aim of this study was to compare the effect of radical prostatectomy (RP) delay on postoperative functional outcomes and mortality in a North American population-based cohort. METHODS: Overall, 17,153 men treated with RP for non-metastatic clinical stage T1-2, low-grade PCa between years 1995 and 2005 within the U.S. Surveillance, Epidemiology, and End Results Medicare-linked database were abstracted. MAIN OUTCOME MEASURES: The effect of treatment delay (from PCa diagnosis to RP of >3 months) on pathological upstaging at surgery (≥pT3) and postoperative functional outcomes (urinary incontinence and erectile dysfunction) was examined using logistic regression analyses. The 10-year PCa mortality rates were computed using cumulative incidence rates. RESULTS: Overall, 2,576 (15%) patients underwent RP > 3 months after diagnosis. A treatment delay of >3 months was associated with a 24% and 33% higher rate of erectile dysfunction diagnosis and procedure, respectively (both P ≤ 0.001). Treatment delay was also associated with 6% higher rate of urinary incontinence procedure (P = 0.01). Furthermore, a dose-response effect was detected with respect to increasing durations of RP delay (≤3 vs. 3-5 vs. 5-9 vs. ≥9 months) the rates of erectile dysfunction and urinary incontinence diagnoses/procedures. Treatment delay was not associated with pathological upstaging and PCa mortality. CONCLUSIONS: Customarily, the timing of RP following biopsy is dictated by tumor aggressiveness. In general, patients with more unfavorable characteristics are operated sooner. This may obliterate the potential detriments of delayed RP. The treatment delay between biopsy and RP may result in more extensive periprostatic tissue resection and may adversely affect postoperative continence and erectile function.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".