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Journal Abstract Search

699 related items for PubMed ID: 19220921

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  • 2. The Chinese version of the modification of diet in renal disease (MDRD) equation is a superior screening tool for chronic kidney disease among middle-aged Taiwanese than the original MDRD and Cockcroft-Gault equations.
    Kuo CF, Yu KH, Shen YM, See LC.
    Biomed J; 2014; 37(6):398-405. PubMed ID: 25179704
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  • 8. Identification and Stratification of Diabetic Kidney Disease Using Serum Cystatin C and Serum Creatinine Based Estimating Equations in Type 2 Diabetes: A Comparative Analysis.
    Avinash S, Singh VP, Agarwal AK, Chatterjee S, Araya V.
    J Assoc Physicians India; 2015 Nov; 63(11):28-35. PubMed ID: 29900708
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  • 10. Evaluation of GFR estimating equations in the general community: implications for screening.
    Clark WF, Macnab JJ, Chen SJ, Suri R, Moist L, Garg AX.
    Clin J Am Soc Nephrol; 2006 Jul; 1(4):787-95. PubMed ID: 17699288
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  • 11. Comparison of the prevalence and mortality risk of CKD in Australia using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR estimating equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) Study.
    White SL, Polkinghorne KR, Atkins RC, Chadban SJ.
    Am J Kidney Dis; 2010 Apr; 55(4):660-70. PubMed ID: 20138414
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  • 12. 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. PubMed ID: 20100724
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  • 13. Assessing glomerular filtration rate in healthy Indian adults: a comparison of various prediction equations.
    Mahajan S, Mukhiya GK, Singh R, Tiwari SC, Kalra V, Bhowmik DM, Gupta S, Agarwal SK, Dash SC.
    J Nephrol; 2005 Jul; 18(3):257-61. PubMed ID: 16013012
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  • 15. Chronic kidney disease among high school students of Kinshasa.
    Bukabau JB, Makulo JR, Pakasa NM, Cohen EP, Lepira FB, Kayembe PK, Nseka NM, Sumaili EK.
    BMC Nephrol; 2012 May 04; 13():24. PubMed ID: 22559052
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  • 16. 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 May 04; 31(6):677-82. PubMed ID: 22130283
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  • 17. Comparison of various predictive equations for glomerular filtration rate in healthy individuals and chronic kidney disease patients from North India.
    Janjirala SV, Gupta M, Cruz SD.
    Saudi J Kidney Dis Transpl; 2021 May 04; 32(2):398-414. PubMed ID: 35017334
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  • 18. 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 04; 33(9):912-21. PubMed ID: 23625813
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  • 19. 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 04; 46(2):233-41. PubMed ID: 16112041
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  • 20. Serum cystatin C-based equation compared to serum creatinine-based equations for estimation of glomerular filtration rate in patients with chronic kidney disease.
    Hojs R, Bevc S, Ekart R, Gorenjak M, Puklavec L.
    Clin Nephrol; 2008 Jul 04; 70(1):10-7. PubMed ID: 18793543
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