A comparison of post‐transplant renal function in pre‐emptive and post‐dialysis pediatric kidney transplant recipients
Bibliographic record
Abstract
PURPOSE: Little is known regarding post-transplant renal function following pediatric pre-emptive KT. Therefore, this study aims to determine whether there is a difference in 1 year post-transplant renal function outcomes between pre-emptive and post-dialysis KT in pediatric transplant recipients. METHODS: ), acute rejection episodes within 1 year, and hospitalization within 1 year were compared to between groups in their respective donor types (pre-DD vs post-DD; pre-LD vs post-LD). RESULTS: The 324 patients were identified (21 pre-DD, 151 post-DD, 54 pre-LD, and 98 post-LD). Post-DD group had more females (P = 0.018) and post-operative complications (P = 0.023), although there was no difference in complications requiring intervention (P = 0.129). Post-LD patients were more likely to be females (P = 0.017) and those with intrinsic renal (non-urological/structural) ESRD etiology (P = 0.003). The 1-year eGFR was similar between pre-DD and post-DD groups (70.3 [IQR 53.5-88.5] vs 74.3 [IQR 62.3-90.5], P = 0.613), as well as pre-LD and post-LD groups (66.6 [IQR 47.8-73.7] vs 63.9 [IQR 55.0-77.1], P = 0.600). There were no significant differences in rates of acute rejection episodes or hospitalization within 1 year of transplantation for in LD/DD groups. CONCLUSION: There is no significant difference in renal function at 1 year post-transplant in pediatric patients receiving pre-emptive or post-dialysis kidney transplants.
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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 | 0.001 | 0.001 |
| 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".