Complex Surgery and Perioperative Systemic Therapy for Genitourinary Cancer of the Retroperitoneum
Bibliographic record
Abstract
Objective: The purpose of the present guideline is to recommend surgical or systemic treatment for metastatic testicular cancer; T3b or T4, or node-positive, and metastatic renal cell cancer (rcc); and T3, T4, or node-positive upper tract urothelial (utuc) cancer. Methods: Draft recommendations were formulated based on evidence obtained through a systematic review of randomized controlled trials, comparative retrospective studies, and guideline endorsement. The draft recommendations underwent an internal review by clinical and methodology experts, and an external review by clinical practitioners. Results: The primary literature search yielded eight guidelines, five systematic reviews, and twenty-seven primary studies that met the eligibility criteria. Conclusions: Cytoreductive nephrectomy should no longer be considered the standard of care in patients with T3b or T4, or node-positive, and metastatic rcc. Eligible patients should be treated with systemic therapy and have their primary tumour removed only after review at a multidisciplinary case conference (mcc). Adjuvant sunitinib after surgery is not recommended. Patients with venous tumour thrombus should be considered for surgical intervention. Patients with T3, T4, or node-positive utuc should have their tumour removed without delay. Decisions concerning lymph node dissection should be done at a mcc and be based on stage, expertise, and imaging. Adjuvant systemic treatment is recommended for resected high-risk utuc. Patients with metastasis-positive testicular cancer with residual tumour after systemic treatment should be treated at specialized centres. For all complex retroperitoneal surgeries, the evidence shows that higher-volume centres are associated with lower rates of procedure-related mortality, and patients should be referred to higher-volume centres for surgical resection.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".