Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease.

By E. Poggio, Xuelei Wang, Tom Greene, F. van Lente, P. Hall. Journal of the American Society of Nephrology, 2005

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Estimating GFR Using the CKD Epidemiology Collaboration (CKD-EPI) Creatinine Equation: More Accurate GFR Estimates, Lower CKD Prevalence Estimates, and Better Risk Predictions (2010, unknown): “J Am Soc Nephrol 2006;17(10):2937–2944.”
Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program. (2006, background): “73 m(2)) (1)” rather than as a discrete numeric value (3, 18).”
A New Equation to Estimate Glomerular Filtration Rate (2009, result): “The spline accounts for a weaker relationship between creatinine and GFR at lower creatinine levels than at higher levels, which is consistent with reports from studies primarily comprising patients with higher measured GFR, such as kidney donors and young people with type 1 diabetes without microal”
Performance of the Cockcroft-Gault, MDRD, and new CKD-EPI formulas in relation to GFR, age, and body size. (2010, result): “The relatively small number of patients in the subgroups in our study as well as in some of the aforementioned studies (7,19) could be an explanation for this difference; however, studying the accuracies over the subgroups, all formulas showed a pattern in which the accuracies became smaller per GFR”