Role of Surgery in High-Risk Localized Prostate Cancer
Bibliographic record
Abstract
Men with high-risk localized prostate cancer (PCa) remain a challenge for clinicians. Until recently, surgery was not the preferred approach, in part because risk of subclinical metastatic disease, elevated rates of positive surgical margins, absence of randomized studies, and suboptimal cancer control did not justify the morbidity of surgery. No randomized data comparing surgery with radiation therapy are yet available. Data for and comparisons between treatment options should therefore be analyzed with extreme caution.When selecting the best treatment for patients with clinically localized high-risk PCa, considerations should include the life expectancy of the patient, the natural history of PCa, the curability of the disease, and the morbidity of treatment. High-grade PCa managed with noncurative intent greatly reduces life expectancy, but overall, it must also be remembered that radical prostatectomy (RP) and radiotherapy (RT) appear to have similar effects on quality of life. In this population, RP necessitates an extended pelvic lymph node dissection (PLND), but in selected cases, nerve-sparing is a therapeutic possibility and may offer a significant advantage over rt in terms of local control and-although absolutely not yet proved-maybe even in survival. One clear advantage is the ease of administering adjuvant or salvage external-beam rt (EBRT) after rp; conversely, salvage rp after failed EBRT is an exceedingly difficult surgery, with major complications. Surgery therefore has its place, but must be considered in the context of multimodality treatment and the risk of micrometastatic disease. Awaited trial results will help to further refine management in this group of patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".