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Items: 1 to 20 of 101

1.

Differences in estimation of creatinine generation between renal function estimating equations in an Indian population: cross-sectional data from the Hyderabad arm of the Indian migration study.

Bailey PK, Tomson CR, Kinra S, Ebrahim S, Radhakrishna KV, Kuper H, Nitsch D, Ben-Shlomo Y.

BMC Nephrol. 2013 Feb 4;14:30. doi: 10.1186/1471-2369-14-30.

2.

Assessment of GFR by four methods in adults in Ashanti, Ghana: the need for an eGFR equation for lean African populations.

Eastwood JB, Kerry SM, Plange-Rhule J, Micah FB, Antwi S, Boa FG, Banerjee D, Emmett L, Miller MA, Cappuccio FP.

Nephrol Dial Transplant. 2010 Jul;25(7):2178-87. doi: 10.1093/ndt/gfp765. Epub 2010 Jan 25. Erratum in: Nephrol Dial Transplant. 2011 Dec;26(12):4153. Emmett, Lynsey [added]; Miller, Michelle A [added].

3.

Validation of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in advanced chronic renal failure.

Teruel Briones JL, Gomis Couto A, Sabater J, Fernández Lucas M, Rodríguez Mendiola N, Villafruela JJ, Quereda C.

Nefrologia. 2011;31(6):677-82. doi: 10.3265/Nefrologia.pre2011.Sep.11014. English, Spanish.

5.

The Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation does not improve the underestimation of Glomerular Filtration Rate (GFR) in people with diabetes and preserved renal function.

MacIsaac RJ, Ekinci EI, Premaratne E, Lu ZX, Seah JM, Li Y, Boston R, Ward GM, Jerums G.

BMC Nephrol. 2015 Dec 3;16:198. doi: 10.1186/s12882-015-0196-0.

6.

Performance and comparison of the Cockcroft-Gault and simplified Modification of Diet in Renal Disease formulae in estimating glomerular filtration rate in a Chinese Type 2 diabetic population.

Dong X, He M, Song X, Lu B, Yang Y, Zhang S, Zhao N, Zhou L, Li Y, Zhu X, Hu R.

Diabet Med. 2007 Dec;24(12):1482-6. Epub 2007 Oct 29.

PMID:
17971183
7.

Glomerular filtration rate equations overestimate creatinine clearance in older individuals enrolled in the Baltimore Longitudinal Study on Aging: impact on renal drug dosing.

Dowling TC, Wang ES, Ferrucci L, Sorkin JD.

Pharmacotherapy. 2013 Sep;33(9):912-21. doi: 10.1002/phar.1282. Epub 2013 Apr 26.

8.

Diagnostic accuracy of various glomerular filtration rates estimating equations in patients with chronic kidney disease and diabetes.

Li HX, Xu GB, Wang XJ, Zhang XC, Yang JM.

Chin Med J (Engl). 2010 Mar 20;123(6):745-51.

PMID:
20368098
9.

The effect of rural-to-urban migration on renal function in an Indian population: cross-sectional data from the Hyderabad arm of the Indian Migration Study.

Bailey PK, Tomson CR, Kinra S, Ebrahim S, Radhakrishna KV, Kuper H, Nitsch D, Ben-Shlomo Y.

BMC Nephrol. 2013 Oct 31;14:240. doi: 10.1186/1471-2369-14-240.

10.

Creatinine- vs. cystatin C-based equations compared with 99mTcDTPA scintigraphy to assess glomerular filtration rate in chronic kidney disease.

Trimarchi H, Muryan A, Martino D, Toscano A, Iriarte R, Campolo-Girard V, Forrester M, Pomeranz V, Fitzsimons C, Lombi F, Young P, Raña MS, Alonso M.

J Nephrol. 2012 Nov-Dec;25(6):1003-15. doi: 10.5301/jn.5000083.

PMID:
22322818
11.

Performance of the Cockcroft-Gault, MDRD, and new CKD-EPI formulas in relation to GFR, age, and body size.

Michels WM, Grootendorst DC, Verduijn M, Elliott EG, Dekker FW, Krediet RT.

Clin J Am Soc Nephrol. 2010 Jun;5(6):1003-9. doi: 10.2215/CJN.06870909. Epub 2010 Mar 18.

12.

Relative performance of the MDRD and CKD-EPI equations for estimating glomerular filtration rate among patients with varied clinical presentations.

Murata K, Baumann NA, Saenger AK, Larson TS, Rule AD, Lieske JC.

Clin J Am Soc Nephrol. 2011 Aug;6(8):1963-72. doi: 10.2215/CJN.02300311. Epub 2011 Jul 7.

13.

Performance of the Cockcroft-Gault and modification of diet in renal disease equations in estimating GFR in ill hospitalized patients.

Poggio ED, Nef PC, Wang X, Greene T, Van Lente F, Dennis VW, Hall PM.

Am J Kidney Dis. 2005 Aug;46(2):242-52.

PMID:
16112042
14.

Accuracy and precision of the CKD-EPI and MDRD predictive equations compared with glomerular filtration rate measured by inulin clearance in a Saudi population.

Al-Wakeel JS.

Ann Saudi Med. 2016 Mar-Apr;36(2):128-34. doi: 10.5144/0256-4947.2016.28.3.1715. Epub 2016 Mar 28.

15.

A comparison of the predictive performance of different methods of kidney function estimation in a well-characterized HIV-infected population.

Barraclough K, Er L, Ng F, Harris M, Montaner J, Levin A.

Nephron Clin Pract. 2009;111(1):c39-48. doi: 10.1159/000178978. Epub 2008 Dec 3.

17.

Comparison of the MDRD and the CKD-EPI equations to estimate the glomerular filtration rate in the general population.

López-Suárez A, Beltrán-Robles M, Elvira-González J, Fernández-Palacín F, Bascuñana-Quirell A, Benítez-Del-Castillo J, Gómez-Fernández P.

Med Clin (Barc). 2010 May 15;134(14):617-23. doi: 10.1016/j.medcli.2009.07.055. Epub 2010 Mar 11.

PMID:
20226480
18.

Estimation of renal function in subjects with normal serum creatinine levels: influence of age and body mass index.

Verhave JC, Fesler P, Ribstein J, du Cailar G, Mimran A.

Am J Kidney Dis. 2005 Aug;46(2):233-41.

PMID:
16112041
19.

Estimation of glomerular filtration rate by MDRD equation in athletes: role of body surface area.

Milic R, Colombini A, Lombardi G, Lanteri P, Banfi G.

Eur J Appl Physiol. 2012 Jan;112(1):201-6. doi: 10.1007/s00421-011-1969-1. Epub 2011 Apr 26.

PMID:
21519889
20.

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