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Journal Abstract Search

700 related items for PubMed ID: 19220921

  • 1. Prevalence of low glomerular filtration rate, proteinuria and associated risk factors in North India using Cockcroft-Gault and Modification of Diet in Renal Disease equation: an observational, cross-sectional study.
    Singh NP, Ingle GK, Saini VK, Jami A, Beniwal P, Lal M, Meena GS.
    BMC Nephrol; 2009 Feb 17; 10():4. 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 Feb 17; 37(6):398-405. PubMed ID: 25179704
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  • 3. Estimating glomerular filtration rate in a population-based study.
    Shankar A, Lee KE, Klein BE, Muntner P, Brazy PC, Cruickshanks KJ, Nieto FJ, Danforth LG, Schubert CR, Tsai MY, Klein R.
    Vasc Health Risk Manag; 2010 Aug 09; 6():619-27. PubMed ID: 20730018
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  • 4. Prevalence of chronic kidney disease based on estimated glomerular filtration rate and proteinuria in Icelandic adults.
    Viktorsdottir O, Palsson R, Andresdottir MB, Aspelund T, Gudnason V, Indridason OS.
    Nephrol Dial Transplant; 2005 Sep 09; 20(9):1799-807. PubMed ID: 15928100
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  • 5. 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 09; 46(2):242-52. PubMed ID: 16112042
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  • 7. 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. PubMed ID: 20226480
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  • 9. Comparison of the Modification of Diet in Renal Disease and Cockcroft-Gault equations for dosing antimicrobials.
    Hermsen ED, Maiefski M, Florescu MC, Qiu F, Rupp ME.
    Pharmacotherapy; 2009 Jun 15; 29(6):649-55. PubMed ID: 19476418
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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 15; 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 15; 55(4):660-70. PubMed ID: 20138414
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  • 14. Comparability of serum creatinine-Based glomerular filtration rate equations in West African adult communities.
    Akpan EE, Ekrikpo UE, A Udo AI, Umoh VA, Nkanta AS.
    Niger J Clin Pract; 2021 May 15; 24(5):674-679. PubMed ID: 34018976
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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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