Expanding the indications for laparoscopic radical nephrectomy
Bibliographic record
Abstract
PURPOSE OF REVIEW: Laparoscopic radical nephrectomy is an established treatment for patients with clinical T1 renal cell carcinoma who are unsuitable for nephron-sparing surgery. In this review we summarize the expanding indications for laparoscopic nephrectomy, including large tumors, locally advanced disease, venous thrombi and cytoreductive surgery. RECENT FINDINGS: Laparoscopic nephrectomy remains the foremost conventional laparoscopic procedure in urologic surgery. Multiple studies have demonstrated the feasibility of laparoscopic radical nephrectomy for stage T2 tumors, showing less morbidity and earlier return to activity compared to the open approach. Confirmation of durable oncologic control requires randomized prospective trials with longer follow-up. With growing experience, laparoscopic surgery has been extended to patients with renal cell carcinoma associated with limited local invasion and lymph node metastases. Experimental studies demonstrate the technical feasibility of laparoscopic radical nephrectomy in the presence of renal vein and inferior vena cava thrombi. In well-selected patients with metastatic renal cell carcinoma, laparoscopic cytoreductive nephrectomy can be performed safely, with less morbidity than open nephrectomy. SUMMARY: Minimally invasive surgery results in significantly less postoperative morbidity than does open surgery. The intermediate oncologic outcomes of laparoscopic radical nephrectomy for advanced renal cell carcinoma are comparable to those historically achieved with open radical nephrectomy. Longer follow-up is needed to confirm survival equivalence.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".