Is Retroperitoneoscopy the Gold Standard for Endoscopic Nephrectomy in Children on Peritoneal Dialysis?
Bibliographic record
Abstract
PURPOSE: The literature on minimally invasive nephrectomy in adults and children on peritoneal dialysis is sparse. Case reports suggest that the transperitoneal approach is effective. We present our experience with retroperitoneoscopic nephrectomy in children on peritoneal dialysis. MATERIALS AND METHODS: At 11 consecutive retroperitoneoscopic nephrectomies a total of 14 kidneys were removed from 10 children with a mean age of 12 years. We used a 3-port lateral retroperitoneoscopic nephrectomy technique with active trainee participation. Preoperative and postoperative biochemistry results within 3 months of surgery were compared with the Wilcoxon signed rank test. RESULTS: Three bilateral synchronous, 1 bilateral staged and 6 unilateral retroperitoneoscopic nephrectomies were done. Mean operative time was 174 minutes for unilateral and 458 minutes for bilateral nephrectomy, including 1 simultaneous peritoneal dialysis insertion and 1 umbilical hernia repair. No open conversion, blood transfusion or postoperative surgical complication was noted. Peritoneal dialysis was initiated at a median of 9 hours postoperatively and dialysate volume was titrated to target within a median of 60 hours. One patient with a small peritoneotomy needed temporary hemodialysis despite intraoperative airtight repair. After surgery median serum albumin increased from 30.0 to 34.3 gm/l. CONCLUSIONS: Retroperitoneoscopic nephrectomy for end stage renal disease is a safe, effective technique that preserves peritoneal integrity in children who require immediate postoperative peritoneal dialysis. Avoiding post-nephrectomy hemodialysis decreases patient morbidity, preserving vessels for future vascular access. Compared to the literature on laparoscopy in this setting, retroperitoneoscopic nephrectomy can be considered the ideal approach for minimally invasive nephrectomy in patients on peritoneal dialysis.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".