Using Serum Creatinine To Estimate Glomerular Filtration Rate: Accuracy in Good Health and in Chronic Kidney Disease

By A. Rule, T. Larson, E. Bergstralh, J. Slezak, Steven Jacobsen, F. Cosio. Annals of Internal Medicine, 2004

1,126 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/68f58a4c1ce49062c3f714e2f1d946a64a9a6ec7

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In Nephrology

Citations in the corpus

Two Novel Equations to Estimate Kidney Function in Persons Aged 70 Years or Older (2012, background): “Elderly persons have generally been underrepresented—even in large cross-sectional data sets of equation development for GFR (12, 13, 17, 18)—and the need for an ageadapted equation has been stated repeatedly (19-22).”
A robust coefficient of determination for regression (2010, neutral): “Several models have been proposed to explain the logarithm of the GFR by means of the CR and possibly other explanatory variables such as AGE and SEX (see e.g. Rule et al., 2004).”
Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). (2005, background): “However, concerns have been expressed about the definition and classification, methods to estimate GFR, and ascertainment of proteinuria [14–21].”
Prevalence of chronic kidney disease in the United States. (2007, background): “In addition, systematic differences between the measured and estimated GFR may be influenced by the population in which the equation is applied.(31,32) Such a bias might contribute to racial/ethnic differences in prevalence estimates, but any systematic difference would apply to all of the NHANES su”
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”