Renal cell carcinoma in renal allograft: Case series and review of literature
Bibliographic record
Abstract
Renal cell carcinoma (RCC) in transplanted kidneys has been reported sporadically with incidence of about 0.5%. There are currently no standard guidelines on the management of allograft RCC in renal transplant recipients. Our objective was to study effectiveness of nephron-sparing surgery (NSS) for allograft RCC. We performed a retrospective analysis of patients with RCC in renal allografts managed with NSS in our institution from January 2000 to December 2015. Patient demographics, interval between transplant and RCC diagnosis, operative parameters, perioperative complications, final pathology, and renal function were evaluated. Three females underwent successful NSS for allograft RCC. Cause of end-stage renal disease was IgA nephropathy in all; mean time between renal transplant and diagnosis of RCC was 23 years. We were able to stay extraperitoneal in all the cases. In the final pathology, two had papillary and one had clear cell RCC. One patient developed pyelocutaneous fistula which was managed by stenting. Long-term functional outcomes of NSS are excellent; none of our patients is dialysis dependent.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".