Outcomes of laparoscopic donor nephrectomy in the presence of multiple renal arteries
Bibliographic record
Abstract
PURPOSE: Data of laparoscopic donor nephrectomy (LDN) with multiple renal arteries for donor and recipient outcomes were reviewed, with the aim of clarifying whether the laparoscopic approach is safe in the presence of multiple renal arteries. MATERIALS AND METHODS: All donor nephrectomies performed at our institution from 2004 to 2008 were reviewed retrospectively. Results were compared between LDN kidneys with multiple arteries and those with a single renal artery. RESULTS: Out of 171 donor nephrectomies, 21 (12%) were performed for kidneys with multiple renal arteries. All of the 150 (88%) donor nephrectomies in the single vessel group were performed laparoscopically. In the multiple artery group, 9 (43%) underwent an open procedure while 12 (57%) underwent a laparoscopic procedure. The warm ischemia time was longer in the multiple artery group than the single artery group, but the difference was not statistically significant (4.25±0.87 min vs. 4.12±0.95 min, respectively). Regarding transplant recipients, the vascular anastomosis time was similar in both groups (30±4.6 min vs. 29.5±3.7 min). The operative blood loss in the transplant recipients was significantly more in the multiple artery group compared to the single artery group (339±292 ml and 130.7±44.8 ml, respectively; P=0.03). The recipient renal function was similar for both the groups at postoperative day 7, 1 month, and at 1 year. CONCLUSION: The data support the fact that the laparoscopic approach to donor nephrectomy in the presence of multiple renal arteries can be performed safely with adequate laparoscopic experience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".