Validation of creatinine-based estimates of GFR when evaluating risk factors in longitudinal studies of kidney disease.
暂无分享,去创建一个
Lawrence Appel | Tom Greene | Janice Lea | L. Appel | J. Lewis | T. Greene | H. Feldman | R. Toto | Xuelei Wang | J. Lea | J. Gassman | J. Kopple | M. Faulkner | Robert Toto | Julia Lewis | Xuelei Wang | G. Contreras | D. Cheek | Mohammed Sika | DeAnna Cheek | Gabriel Contreras | Marquetta Faulkner | Harold Feldman | Jennifer Gassman | Joel Kopple | M. Sika
[1] B. Brenner,et al. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy , 2002 .
[2] Hai‐yan Wang,et al. Application of GFR-estimating equations in Chinese patients with chronic kidney disease. , 2005, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[3] R. Schrier. Diseases of the Kidney and Urinary Tract , 2001 .
[4] J. Ware,et al. Random-effects models for longitudinal data. , 1982, Biometrics.
[5] E. Lewis,et al. Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes. , 2001, The New England journal of medicine.
[6] N. Madias,et al. Serum creatinine as an index of renal function: new insights into old concepts. , 1992, Clinical chemistry.
[7] Geert Molenberghs,et al. Evaluation of Surrogate Endpoints , 2006, Handbook of Statistical Methods for Randomized Controlled Trials.
[8] G. Navis,et al. Creatinine-based estimation of rate of long term renal function loss in lung transplant recipients. Which method is preferable? , 2000, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.
[9] M. H. Gault,et al. Prediction of creatinine clearance from serum creatinine. , 1975, Nephron.
[10] Tom Greene,et al. Effect of blood pressure lowering and antihypertensive drug class on progression of hypertensive kidney disease: results from the AASK trial. , 2002, JAMA.
[11] David Roth,et al. A simplified equation to predict glomerular filtration rate from serum creatinine , 2000 .
[12] Keith C. Norris,et al. The rationale and design of the AASK cohort study. , 2003, Journal of the American Society of Nephrology : JASN.
[13] D. Riley,et al. Prediction of GFR in liver transplant candidates. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[14] P. Grambsch,et al. Multiple Events per Subject , 2000 .
[15] Homer W. Smith. The Kidney: Structure and Function in Health and Disease , 1952 .
[16] T. Larson,et al. Using Serum Creatinine To Estimate Glomerular Filtration Rate: Accuracy in Good Health and in Chronic Kidney Disease , 2004, Annals of Internal Medicine.
[17] F. Kronenberg,et al. Predictive performance of renal function equations for patients with chronic kidney disease and normal serum creatinine levels. , 2002, Journal of the American Society of Nephrology : JASN.
[18] C. Perlemoine,et al. Estimation of glomerular filtration rate in diabetic subjects: Cockcroft formula or modification of Diet in Renal Disease study equation? , 2005, Diabetes care.
[19] A. Levey,et al. Measurement of renal function in chronic renal disease. , 1990, Kidney international.
[20] N. Perico,et al. Performance of Different Prediction Equations for Estimating Renal Function in Kidney Transplantation , 2004, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.
[21] A. Levey,et al. A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation , 1999, Annals of Internal Medicine.
[22] J. Wetzels,et al. Assessment of glomerular filtration rate in healthy subjects and normoalbuminuric diabetic patients: validity of a new (MDRD) prediction equation. , 2002, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[23] B. Brenner,et al. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. , 2001, The New England journal of medicine.
[24] V De Gruttola,et al. Estimating the proportion of treatment effect explained by a surrogate marker. , 1997, Statistics in medicine.
[25] T. Greene,et al. 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. , 2005, Journal of the American Society of Nephrology : JASN.
[26] C. Edelmann,et al. Diseases of the kidney and urinary tract , 1992 .
[27] Ana Ivelisse Avilés,et al. Linear Mixed Models for Longitudinal Data , 2001, Technometrics.
[28] S. Hallan,et al. Validation of the Modification of Diet in Renal Disease formula for estimating GFR with special emphasis on calibration of the serum creatinine assay. , 2004, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[29] Keith C. Norris,et al. Effect of ramipril vs amlodipine on renal outcomes in hypertensive nephrosclerosis: a randomized controlled trial. , 2001, JAMA.
[30] G. Dunea. Immunologic Renal Disease , 1997 .
[31] G. Bakris,et al. The relationship between magnitude of proteinuria reduction and risk of end-stage renal disease: results of the African American study of kidney disease and hypertension. , 2005, Archives of internal medicine.
[32] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[33] G. Molenberghs,et al. The validation of surrogate endpoints in meta-analyses of randomized experiments. , 2000, Biostatistics.
[34] L. Appel,et al. A comparison of iothalamate-GFR and serum creatinine-based outcomes: acceleration in the rate of GFR decline in the African American Study of Kidney Disease and Hypertension. , 2004, Journal of the American Society of Nephrology : JASN.
[35] L. J. Wei,et al. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions , 1989 .
[36] L. Niskanen,et al. Effect of angiotensin-converting-enzyme inhibition compared with conventional therapy on cardiovascular morbidity and mortality in hypertension: the Captopril Prevention Project (CAPPP) randomised trial , 1999, The Lancet.
[37] J. Lewis,et al. Comparison of cross-sectional renal function measurements in African Americans with hypertensive nephrosclerosis and of primary formulas to estimate glomerular filtration rate. , 2001, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[38] Geert Molenberghs,et al. A Meta-analytic Validation Framework for Continuous Outcomes , 2005 .
[39] P. Houillier,et al. Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function. , 2005, Journal of the American Society of Nephrology : JASN.
[40] M J Daniels,et al. Meta-analysis for the evaluation of potential surrogate markers. , 1997, Statistics in medicine.
[41] R. Nelson,et al. Detection of renal function decline in patients with diabetes and normal or elevated GFR by serial measurements of serum cystatin C concentration: results of a 4-year follow-up study. , 2005, Journal of the American Society of Nephrology : JASN.
[42] L. Lin,et al. A concordance correlation coefficient to evaluate reproducibility. , 1989, Biometrics.
[43] Keith C. Norris,et al. Baseline predictors of renal disease progression in the African American Study of Hypertension and Kidney Disease. , 2006, Journal of the American Society of Nephrology : JASN.
[44] M. Kutner,et al. Design and statistical aspects of the African American Study of Kidney Disease and Hypertension (AASK). , 2003, Journal of the American Society of Nephrology : JASN.
[45] Ajay K. Singh,et al. A comparison of prediction equations for estimating glomerular filtration rate in adults without kidney disease. , 2003, Journal of the American Society of Nephrology : JASN.