Outcomes of kidney transplantation in children with nephronophthisis: An analysis of the North American Pediatric Renal Trials and Collaborative Studies (NAPRTCS) Registry
Bibliographic record
Abstract
NPHP is an autosomal recessive chronic tubulointerstitial nephropathy that progresses to ESRD. In the 2006 NAPRTCS report, NPHP was the primary diagnosis in 2.8% of all renal transplant patients. At our pediatric center, that covers a population in which the NPHP1 gene is prevalent, 24% of transplant recipients had a primary diagnosis of NPHP. Since no previous literature reports have documented kidney transplant outcomes in patients with NPHP, a review of the 2006 NAPRTCS database was performed. The results of this review illustrate that patients with NPHP as their underlying kidney disease have a significantly better overall graft survival when compared with all other patients registered in the NAPRTCS database. Sub-analysis demonstrated that this benefit is statistically significant only for LD kidney transplant recipients. CrCl was better in NPHP at all time points from transplant up to five-yr follow-up. Moreover, in NPHP LD transplant recipients the decline of CrCl over five yr was slower compared with non-NPHP LD transplant recipients. Rates of thrombosis, acute, and chronic rejection as well as causes of graft failure were similar in NPHP patients and all other patients. This review demonstrates that NPHP transplant recipients have excellent outcomes that are shown to be better compared with the general pediatric transplant population.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".