Oncologic impact of delaying radical prostatectomy in men with intermediate- and high-risk prostate cancer: a systematic review
Bibliographic record
Abstract
PURPOSE: To summarize the available evidence on the survival and pathologic outcomes after deferred radical prostatectomy (RP) in men with intermediate- and high-risk prostate cancer (PCa). METHODS: The PubMed database and Web of Science were searched in November 2020 according to the PRISMA statement. Studies were deemed eligible if they reported the survival and pathologic outcomes of patients treated with deferred RP for intermediate- and high-risk PCa compared to the control group including those patients treated with RP without delay. RESULTS: Overall, nineteen studies met our eligibility criteria. We found a significant heterogeneity across the studies in terms of definitions for delay and outcomes, as well as in patients' baseline clinicopathologic features. According to the currently available literature, deferred RP does not seem to affect oncological survival outcomes, such as prostate cancer-specific mortality and metastasis-free survival, in patients with intermediate- or high-risk PCa. However, the impact of deferred RP on biochemical recurrence rates remains controversial. There is no clear association of deferring RP with any of the features of aggressive disease such as pathologic upgrading, upstaging, positive surgical margins, extracapsular extension, seminal vesicle invasion, and lymph node invasion. Deferred RP was not associated with the need for secondary treatments. CONCLUSIONS: Owing to the different definitions of a delayed RP, it is hard to make a consensus regarding the safe delay time. However, the current data suggest that deferring RP in patients with intermediate- and high-risk PCa for at least around 3 months is generally safe, as it does not lead to adverse pathologic outcomes, biochemical recurrence, the need for secondary therapy, or worse oncological survival outcomes.
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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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".