Assessment of perioperative surgical complications in pediatric kidney transplantation: A comparison of pre‐emptive and post‐dialysis recipients
Bibliographic record
Abstract
PURPOSE: To determine whether there is a benefit to pre-emptive kidney transplantation in reducing surgical complications in pediatric population. METHODS: A retrospective review of kidney transplantations in our institution from 2000 to 2015 was performed. Intra- and postoperative complication rates and one-year graft survival were compared in their respective donor type groups (pre-emptive DD vs post-dialysis DD; pre-emptive LD vs post-dialysis LD). RESULTS: A total of 318 patients were identified (pre-emptive DD, n = 21; post-dialysis DD, n = 145; pre-emptive LD, n = 54; post-dialysis LD, n = 98). Between the DD groups, post-dialysis DD group was more likely to be female (P = 0.017). There was no difference in rates of intraoperative complications or graft loss (P = 0.365 and 1.000, respectively). Post-dialysis DD groups were more likely to have postoperative complications (9.5% vs 35.1%, P = 0.023), but no difference in complications with Clavien-Dindo grade 3 or higher was found (P = 0.130). Between the LD groups, post-dialysis LD group was more likely to be females (P = 0.017) and with intrinsic renal (non-urological/structural) ESRD etiology (P = 0.003). There was no difference in rates of intra-and postoperative complications or graft loss (P = 0.353, P = 0.605, and P = 0.616, respectively). CONCLUSIONS: Overall, there are similar perioperative complication rates between pediatric pre-emptive and post-dialysis kidney transplant recipients.
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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) | 0.001 | 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".