Technique of laparoscopic nephrectomy in a patient with previous urinary diversion.
Bibliographic record
Abstract
Laparoscopic nephrectomy is quickly becoming accepted as the standard treatment for small renal neoplasms and benign renal disease. The presence of an ileal conduit has been termed a relative contraindication to laparoscopic surgery. A 58-year old female presented with recurrent pyelonephritis and hydronephrosis of her left kidney. Surgical removal was necessary and we considered a transperitoneal laparoscopic nephrectomy for her. The patient had an ileal conduit and it was because of this reason that only after careful consideration was it decided to attempt the surgery using the laparoscopic approach. We present our technique of transperitoneal laparoscopic nephrectomy in this patient with an ileal conduit and include technical suggestions that will help predict a successful outcome. The success of this case demonstrates that in certain circumstances, patients with urinary diversions can be offered laparoscopic nephrectomy and its benefits.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".