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PUBMED FOR HANDHELDS

Journal Abstract Search


1929 related items for PubMed ID: 20138414

  • 1. 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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  • 2. Clinical risk implications of the CKD Epidemiology Collaboration (CKD-EPI) equation compared with the Modification of Diet in Renal Disease (MDRD) Study equation for estimated GFR.
    Matsushita K, Tonelli M, Lloyd A, Levey AS, Coresh J, Hemmelgarn BR, Alberta Kidney Disease Network.
    Am J Kidney Dis; 2012 Aug; 60(2):241-9. PubMed ID: 22560843
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  • 3. [Assessment of the new CKD-EPI equation to estimate the glomerular filtration rate].
    Montañés Bermúdez R, Bover Sanjuán J, Oliver Samper A, Ballarín Castán JA, Gràcia García S.
    Nefrologia; 2010 Aug; 30(2):185-94. PubMed ID: 20038962
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  • 4. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation is less accurate in patients with Type 2 diabetes when compared with healthy individuals.
    Camargo EG, Soares AA, Detanico AB, Weinert LS, Veronese FV, Gomes EC, Silveiro SP.
    Diabet Med; 2011 Jan; 28(1):90-5. PubMed ID: 21166850
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  • 5. Estimating glomerular filtration rate in hypertensive subjects: comparison of the chronic kidney disease epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) study equations.
    Korhonen PE, Kivelä SL, Aarnio PT, Kautiainen H, Järvenpää S, Kantola IM.
    Ann Med; 2012 Aug; 44(5):487-93. PubMed ID: 22149718
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  • 6. 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, China National Stroke Registry Investigators.
    Am J Kidney Dis; 2014 Jan; 63(1):59-67. PubMed ID: 24100127
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  • 9. The practical implications of using standardized estimation equations in calculating the prevalence of chronic kidney disease.
    Quinn MP, Rainey A, Cairns KJ, Marshall AH, Savage G, Kee F, Peter Maxwell A, Reaney E, Fogarty DG.
    Nephrol Dial Transplant; 2008 Feb; 23(2):542-8. PubMed ID: 17890743
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  • 11. Estimating glomerular filtration rate: comparison of the CKD-EPI and MDRD equations in a large UK cohort with particular emphasis on the effect of age.
    Carter JL, Stevens PE, Irving JE, Lamb EJ.
    QJM; 2011 Oct; 104(10):839-47. PubMed ID: 21652537
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  • 12. 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; 20(9):1799-807. PubMed ID: 15928100
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  • 13. Discrepancies between creatinine-based and cystatin C-based equations in estimating prevalence of stage 3 chronic kidney disease in an elderly population.
    Delanaye P, Cavalier E, Saint-Remy A, Lutteri L, Krzesinski JM.
    Scand J Clin Lab Invest; 2009 Sep; 69(3):344-9. PubMed ID: 19051098
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  • 14. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey.
    Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS.
    Am J Kidney Dis; 2003 Jan; 41(1):1-12. PubMed ID: 12500213
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  • 19. 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 Jan; 31(6):677-82. PubMed ID: 22130283
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