Ex-vivo ureteroscopy of deceased donor kidneys
Bibliographic record
Abstract
INTRODUCTION: When encountered, the ideal management of lithiasis in deceased donor kidneys is not well-defined. With advances in endourological techniques, minimally invasive treatments are becoming an increasingly viable option. We set out to describe our experience performing ex-vivo ureteroscopy on cadaveric donor kidneys, including one in which the procedure was completed on-pump. METHODS: A retrospective chart review was undertaken to identify patients who had undergone ex-vivo ureteroscopy prior to cadaveric renal transplant. Four patients were identified, including one in which the procedure was done with the kidney remaining on-pump. The surgical technique and subsequent data were reviewed. RESULTS: Ex-vivo ureteroscopy was successfully completed in all four instances without intraoperative complication. All kidneys were endoscopically stone-free. Creatinine nadirs ranged from 0.8-1.4. All four patients remained stone-free at a mean followup of 13 months. CONCLUSIONS: Our series provides further evidence as to the safety and efficacy of ex-vivo ureteroscopy prior to transplantation in cadaveric renal transplants and describes a novel technique in the form of on-pump ex-vivo ureteroscopy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".