234 related articles for article (PubMed ID: 23428718)
1. Comparison of predictability of future cardiovascular events between chronic kidney disease (CKD) stage based on CKD epidemiology collaboration equation and that based on modification of diet in renal disease equation in the Japanese general population--Iwate KENCO Study.
Ohsawa M; Tanno K; Itai K; Turin TC; Okamura T; Ogawa A; Ogasawara K; Fujioka T; Onoda T; Yoshida Y; Omama S; Ishibashi Y; Nakamura M; Makita S; Tanaka F; Kuribayashi T; Koyama T; Sakata K; Okayama A
Circ J; 2013; 77(5):1315-25. PubMed ID: 23428718
[TBL] [Abstract][Full Text] [Related]
2. Disparities in the Estimation of Glomerular Filtration Rate According to Cockcroft-Gault, Modification of Diet in Renal Disease-4, and Chronic Kidney Disease Epidemiology Collaboration Equations and Relation With Outcomes in Patients With Acute Coronary Syndrome.
Rivera-Caravaca JM; Ruiz-Nodar JM; Tello-Montoliu A; Esteve-Pastor MA; Quintana-Giner M; Véliz-Martínez A; Orenes-Piñero E; Romero-Aniorte AI; Vicente-Ibarra N; Pernias-Escrig V; Carrillo-Alemán L; Candela-Sánchez E; Hortelano I; Villamía B; Sandín-Rollán M; Nuñez-Martínez L; Valdés M; Marín F
J Am Heart Assoc; 2018 Apr; 7(9):. PubMed ID: 29680822
[TBL] [Abstract][Full Text] [Related]
3. Comparison of Risk Prediction With the CKD-EPI and MDRD Equations in Non-ST-Segment Elevation Acute Coronary Syndrome.
Flores-Blanco PJ; López-Cuenca Á; Januzzi JL; Marín F; Sánchez-Martínez M; Quintana-Giner M; Romero-Aniorte AI; Valdés M; Manzano-Fernández S
Clin Cardiol; 2016 Sep; 39(9):507-15. PubMed ID: 27249221
[TBL] [Abstract][Full Text] [Related]
4. Predicting outcomes after myocardial infarction by using the Chronic Kidney Disease Epidemiology Collaboration equation in comparison with the Modification of Diet in Renal Disease study equation: results from the Korea Acute Myocardial Infarction Registry.
Choi JS; Kim CS; Bae EH; Ma SK; Ahn YK; Jeong MH; Kim YJ; Cho MC; Kim CJ; Kim SW;
Nephrol Dial Transplant; 2012 Oct; 27(10):3868-74. PubMed ID: 22879394
[TBL] [Abstract][Full Text] [Related]
5. Comparison of associations of outcomes after stroke with estimated GFR using Chinese modifications of the MDRD study and CKD-EPI creatinine equations: results from the China National Stroke Registry.
Wang X; Luo Y; Wang Y; Wang C; Zhao X; Wang D; Liu L; Liu G; Wang Y;
Am J Kidney Dis; 2014 Jan; 63(1):59-67. PubMed ID: 24100127
[TBL] [Abstract][Full Text] [Related]
6. Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives.
Ferreira JP; Girerd N; Pellicori P; Duarte K; Girerd S; Pfeffer MA; McMurray JJ; Pitt B; Dickstein K; Jacobs L; Staessen JA; Butler J; Latini R; Masson S; Mebazaa A; Rocca HP; Delles C; Heymans S; Sattar N; Jukema JW; Cleland JG; Zannad F; Rossignol P;
BMC Med; 2016 Nov; 14(1):181. PubMed ID: 27829460
[TBL] [Abstract][Full Text] [Related]
7. Selecting a prognostic renal surrogate for patients with hepatocellular carcinoma undergoing transarterial chemoembolization.
Lee YH; Hsu CY; Huang YH; Su CW; Lin HC; Lee RC; Chiou YY; Huo TI; Lee SD
J Gastroenterol Hepatol; 2012 Oct; 27(10):1581-8. PubMed ID: 22497632
[TBL] [Abstract][Full Text] [Related]
8. Primacy of lowered baseline glomerular filtration rate as a risk for incident chronic kidney disease: A longitudinal study in Japanese subjects.
Miyakoshi T; Nakasone Y; Sato Y; Yamauchi K; Hashikura R; Takayama M; Hirabayashi K; Koike H; Moriya T; Aizawa T
Nephrology (Carlton); 2017 Sep; 22(9):684-689. PubMed ID: 27282755
[TBL] [Abstract][Full Text] [Related]
9. Clinical Implications of Estimating Glomerular Filtration Rate with Different Equations in Heart Failure Patients with Preserved Ejection Fraction.
Zhang B; Liang H; Yu Z; Wei FF; Wu Y
High Blood Press Cardiovasc Prev; 2024 Mar; 31(2):205-213. PubMed ID: 38584212
[TBL] [Abstract][Full Text] [Related]
10. Renal function in heart failure: a disparity between estimating function and predicting mortality risk.
Plischke M; Neuhold S; Kohl M; Heinze G; Sunder-Plassmann G; Pacher R; Hülsmann M
Eur J Heart Fail; 2013 Jul; 15(7):763-70. PubMed ID: 23429976
[TBL] [Abstract][Full Text] [Related]
11. Comparison of the heart failure risk stratification performance of the CKD-EPI equation and the MDRD equation for estimated glomerular filtration rate in patients with Type 2 diabetes.
Wang Y; Katzmarzyk PT; Horswell R; Zhao W; Johnson J; Hu G
Diabet Med; 2016 May; 33(5):609-20. PubMed ID: 26202081
[TBL] [Abstract][Full Text] [Related]
12. Estimated glomerular filtration rate and prognosis in heart failure: value of the Modification of Diet in Renal Disease Study-4, chronic kidney disease epidemiology collaboration, and cockroft-gault formulas.
Zamora E; Lupón J; Vila J; Urrutia A; de Antonio M; Sanz H; Grau M; Ara J; Bayés-Genís A
J Am Coll Cardiol; 2012 May; 59(19):1709-15. PubMed ID: 22554602
[TBL] [Abstract][Full Text] [Related]
13. Which creatinine-based estimated glomerular filtration rate equation best predicts all-cause mortality in Chinese subjects with type 2 diabetes?
Lee CH; Shih AZL; Woo YC; Fong CHY; Yuen MMA; Chow WS; Lam KSL
Diabetes Res Clin Pract; 2017 Apr; 126():25-29. PubMed ID: 28189951
[TBL] [Abstract][Full Text] [Related]
14. Comparison between urine albumin-to-creatinine ratio and urine protein dipstick testing for prevalence and ability to predict the risk for chronic kidney disease in the general population (Iwate-KENCO study): a prospective community-based cohort study.
Koeda Y; Tanaka F; Segawa T; Ohta M; Ohsawa M; Tanno K; Makita S; Ishibashi Y; Itai K; Omama SI; Onoda T; Sakata K; Ogasawara K; Okayama A; Nakamura M
BMC Nephrol; 2016 May; 17(1):46. PubMed ID: 27169575
[TBL] [Abstract][Full Text] [Related]
15. 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 equation.
Skali H; Uno H; Levey AS; Inker LA; Pfeffer MA; Solomon SD
Am Heart J; 2011 Sep; 162(3):548-54. PubMed ID: 21884875
[TBL] [Abstract][Full Text] [Related]
16. Impact of routine reporting of estimated glomerular filtration rate using the CKD-EPI formula in a community population: A cross-sectional cohort study.
Mitchell T; Hadlow N; Chakera A
Nephrology (Carlton); 2014 Sep; 19(9):581-6. PubMed ID: 24888643
[TBL] [Abstract][Full Text] [Related]
17. [Evaluation and application of estimation of glomerular filtration rate based on serum creatinine and cystatin C in renal function staging].
Shen ZX; Liu Y; Liu M; Zheng H; Wu XJ; Shen C
Zhonghua Liu Xing Bing Xue Za Zhi; 2017 Nov; 38(11):1557-1562. PubMed ID: 29141349
[No Abstract] [Full Text] [Related]
18. Chronic kidney disease and prognosis in elderly patients with cardiovascular disease: Comparison between CKD-EPI and Berlin Initiative Study-1 formulas.
Tarantini L; McAlister FA; Barbati G; Ezekowitz JA; Cioffi G; Faggiano P; Pulignano G; Cherubini A; Grisolia Franceschini E; Di Lenarda A
Eur J Prev Cardiol; 2016 Sep; 23(14):1504-13. PubMed ID: 26988974
[TBL] [Abstract][Full Text] [Related]
19. The Chronic Kidney Disease Epidemiology Collaboration cystatin C (CKD-EPI-CysC) equation has an independent prognostic value for overall survival in newly diagnosed patients with symptomatic multiple myeloma; is it time to change from MDRD to CKD-EPI-CysC equations?
Terpos E; Christoulas D; Kastritis E; Katodritou E; Pouli A; Michalis E; Papassotiriou I; Dimopoulos MA;
Eur J Haematol; 2013 Oct; 91(4):347-55. PubMed ID: 23829647
[TBL] [Abstract][Full Text] [Related]
20. Long-term prognostic value for patients with chronic heart failure of estimated glomerular filtration rate calculated with the new CKD-EPI equations containing cystatin C.
Zamora E; Lupón J; de Antonio M; Vila J; Peñafiel J; Galán A; Urrutia A; Domingo M; Bayes-Genis A
Clin Chem; 2014 Mar; 60(3):481-9. PubMed ID: 24255081
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
