Comparing the association of GFR estimated by the CKD-EPI and MDRD study equations and mortality: the third national health and nutrition examination survey (NHANES III)
Open Access
- 15 June 2012
- journal article
- research article
- Published by Springer Science and Business Media LLC in BMC Nephrology
- Vol. 13 (1), 42
- https://doi.org/10.1186/1471-2369-13-42
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Prognostic assessment of estimated glomerular filtration rate by the new Chronic Kidney Disease Epidemiology Collaboration equation in comparison with the Modification of Diet in Renal Disease Study equationAmerican Heart Journal, 2011
- Estimating GFR Using the CKD Epidemiology Collaboration (CKD-EPI) Creatinine Equation: More Accurate GFR Estimates, Lower CKD Prevalence Estimates, and Better Risk PredictionsAmerican Journal of Kidney Diseases, 2010
- Risk Implications of the New CKD Epidemiology Collaboration (CKD-EPI) Equation Compared With the MDRD Study Equation for Estimated GFR: The Atherosclerosis Risk in Communities (ARIC) StudyAmerican Journal of Kidney Diseases, 2010
- Comparison of the Prevalence and Mortality Risk of CKD in Australia Using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR Estimating Equations: The AusDiab (Australian Diabetes, Obesity and Lifestyle) StudyAmerican Journal of Kidney Diseases, 2010
- Calibration of Serum Creatinine in the National Health and Nutrition Examination Surveys (NHANES) 1988-1994, 1999-2004American Journal of Kidney Diseases, 2007
- Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyondStatistics in Medicine, 2007
- The Limitations of Risk Factors as Prognostic ToolsThe New England Journal of Medicine, 2006
- When Is a New Prediction Marker Useful?Archives of Internal Medicine, 2005
- Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic, Prognostic, or Screening MarkerAmerican Journal of Epidemiology, 2004
- A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction EquationAnnals of Internal Medicine, 1999