Comparison of the Predictive Performance of eGFR Formulae for Mortality and Graft Failure in Renal Transplant Recipients-Reference-Cited by-同舟云学术

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Comparison of the Predictive Performance of eGFR Formulae for Mortality and Graft Failure in Renal Transplant Recipients

Published:2009-02-15 Issue:3 Volume:87 Page:384-392
ISSN:0041-1337
Container-title:Transplantation
language:en
Short-container-title:

Author:

He Xiang,Moore Jason,Shabir Shazia,Little Mark A.,Cockwell Paul,Ball Simon,Liu Xiang,Johnston Atholl,Borrows Richard

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Transplantation

Reference30 articles.

1. Evaluation of renal function in transplantation.;Poggio;Transplantation,2007

2. An epidemic of chronic kidney disease: Fact or fiction?;Glassock;Nephrol Dial Transplant,2008

3. Renal dysfunction is a strong and independent risk factor for mortality and cardiovascular complications in renal transplantation.;Fellström;Am J Transplant,2005

4. Post-transplant renal function in the first year predicts long-term kidney transplant survival.;Hariharan;Kidney Int,2002

5. Ten-year survival of second kidney transplants: Impact of immunologic factors and renal function at 12 months.;Coupel;Kidney Int,2003

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1. Machine Learning Model to Predict Graft Rejection After Kidney Transplantation;Transplantation Proceedings;2023-11

2. Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction;Kidney International;2023-05

3. Pretransplant characteristics of kidney transplant recipients that predict posttransplant outcome;Frontiers in Immunology;2022-07-25

4. Shifting Clinical Trial Endpoints in Kidney Transplantation: The Rise of Composite Endpoints and Machine Learning to Refine Prognostication;Transplantation;2022-03-23

5. Interactions Between Donor Age and 12-Month Estimated Glomerular Filtration Rate on Allograft and Patient Outcomes After Kidney Transplantation;Transplant International;2022-02-07

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