Literature DB >> 20053344

A software upgrade: CKD testing in 2010.

Bryan N Becker1, Joseph A Vassalotti.   

Abstract

Mesh：

Year:  2010        PMID： 20053344     DOI： 10.1053/j.ajkd.2009.11.005

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN： 0272-6386            Impact factor:   8.860


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  10 in total

1.  Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: more accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions.

Authors:  Andrew S Levey; Lesley A Stevens
Journal:  Am J Kidney Dis       Date:  2010-04       Impact factor: 8.860

2.  Evaluation and comparison of Abbott Jaffe and enzymatic creatinine methods: Could the old method meet the new requirements?

Authors:  Tuncay Küme; Barıs Sağlam; Cem Ergon; Ali Rıza Sisman
Journal:  J Clin Lab Anal       Date:  2017-02-15       Impact factor: 2.352

3.  Implications of the CKD-EPI GFR estimation equation in clinical practice.

Authors:  Jesse D Schold; Sankar D Navaneethan; Stacey E Jolly; Emilio D Poggio; Susana Arrigain; Welf Saupe; Anil Jain; John W Sharp; James F Simon; Martin J Schreiber; Joseph V Nally
Journal:  Clin J Am Soc Nephrol       Date:  2010-11-29       Impact factor: 8.237

4.  Comparison of the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) study equations: risk factors for and complications of CKD and mortality in the Kidney Early Evaluation Program (KEEP).

Authors:  Lesley A Stevens; Suying Li; Manjula Kurella Tamura; Shu-Cheng Chen; Joseph A Vassalotti; Keith C Norris; Adam T Whaley-Connell; George L Bakris; Peter A McCullough
Journal:  Am J Kidney Dis       Date:  2011-03       Impact factor: 8.860

5.  Performance of creatinine and cystatin C GFR estimating equations in an HIV-positive population on antiretrovirals.

Authors:  Lesley A Inker; Christina Wyatt; Rebecca Creamer; James Hellinger; Matthew Hotta; Maia Leppo; Andrew S Levey; Aghogho Okparavero; Hiba Graham; Karen Savage; Christopher H Schmid; Hocine Tighiouart; Fran Wallach; Zipporah Krishnasami
Journal:  J Acquir Immune Defic Syndr       Date:  2012-11-01       Impact factor: 3.731

6.  Estimating glomerular filtration rate using the chronic kidney disease-epidemiology collaboration creatinine equation: better risk predictions.

Authors:  Lesley A Inker; Kamran Shaffi; Andrew S Levey
Journal:  Circ Heart Fail       Date:  2012-05-01       Impact factor: 8.790

7.  Chronic kidney disease: a large-scale population-based study of the effects of introducing the CKD-EPI formula for eGFR reporting.

Authors:  Christopher A O'Callaghan; Brian Shine; Daniel S Lasserson
Journal:  BMJ Open       Date:  2011-12-19       Impact factor: 2.692

8.  Impact on cardiovascular risk follow-up from a shift to the CKD-EPI formula for eGFR reporting: a cross-sectional population-based primary care study.

Authors:  Vincent A van Gelder; Nynke D Scherpbier-de Haan; Wim J C de Grauw; Christopher A O'Callaghan; Jack F M Wetzels; Daniel S Lasserson
Journal:  BMJ Open       Date:  2013-09-25       Impact factor: 2.692

9.  Performance of Cockcroft-Gault, MDRD, and CKD-EPI in estimating prevalence of renal function and predicting survival in the oldest old.

Authors:  Jorien M Willems; Tom Vlasveld; Wendy P J den Elzen; Rudi G J Westendorp; Ton J Rabelink; Anton J M de Craen; Gerard J Blauw
Journal:  BMC Geriatr       Date:  2013-10-25       Impact factor: 3.921

Review 10.  Class effects of SGLT2 inhibitors on cardiorenal outcomes.

Authors:  Aaron Y Kluger; Kristen M Tecson; Andy Y Lee; Edgar V Lerma; Janani Rangaswami; Norman E Lepor; Michael E Cobble; Peter A McCullough
Journal:  Cardiovasc Diabetol       Date:  2019-08-05       Impact factor: 9.951
  10 in total

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