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Journal Abstract Search

135 related items for PubMed ID: 18029370

  • 21. 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. PubMed ID: 22130283
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  • 22. Chronic kidney disease stage in renal transplantation classification using cystatin C and creatinine-based equations.
    White C, Akbari A, Hussain N, Dinh L, Filler G, Lepage N, Knoll GA.
    Nephrol Dial Transplant; 2007 Oct; 22(10):3013-20. PubMed ID: 17556417
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  • 23. Reclassification of Chronic Kidney Disease Stage, Eligibility for Cystatin-C and Its Associated Costs in a UK Primary Care Cohort.
    Major RW, Shepherd D, Brunskill NJ.
    Nephron; 2018 Oct; 139(1):39-46. PubMed ID: 29566373
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  • 24. Utility of estimated glomerular filtration rate equations in Nigerians with stable chronic kidney disease.
    Adebisi SA.
    West Afr J Med; 2011 Oct; 30(6):432-5. PubMed ID: 22786860
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  • 25. 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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  • 26. [The Cockcroft-Gault equation is better than MDRD equation to estimate the glomerular filtration rate in patients with advanced chronic renal failure].
    Teruel JL, Sabater J, Galeano C, Rivera M, Merino JL, Fernández Lucas M, Marcén R, Ortuño J.
    Nefrologia; 2007 Feb; 27(3):313-9. PubMed ID: 17725450
    [Abstract] [Full Text] [Related]

  • 27. 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 Feb; 69(3):344-9. PubMed ID: 19051098
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  • 28. Prevalence and severity of chronic kidney disease and anemia in the nursing home population.
    McClellan WM, Resnick B, Lei L, Bradbury BD, Sciarra A, Kewalramani R, Ouslander JG.
    J Am Med Dir Assoc; 2010 Jan; 11(1):33-41. PubMed ID: 20129213
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  • 31. Chronic kidney disease in older people with intellectual disability: results of the HA-ID study.
    de Winter CF, Echteld MA, Evenhuis HM.
    Res Dev Disabil; 2014 Mar; 35(3):726-32. PubMed ID: 24287320
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  • 32. 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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  • 34. Comparison of cystatin C and creatinine-based equations for GFR estimation after living kidney donation.
    Issa N, Kukla A, Jackson S, Riad SM, Foster MC, Matas AJ, Eckfeldt JH, Ibrahim HN.
    Transplantation; 2014 Oct 27; 98(8):871-7. PubMed ID: 24825515
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  • 36. Prevalence of Impaired Kidney Function in the German Elderly: Results from the Berlin Aging Study II (BASE-II).
    König M, Gollasch M, Demuth I, Steinhagen-Thiessen E.
    Gerontology; 2017 Oct 27; 63(3):201-209. PubMed ID: 28231583
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  • 37. Estimation of glomerular filtration rate: does haemoglobin discriminate between ageing and true CKD?
    Ferrari P, Xiao J, Ukich A, Irish A.
    Nephrol Dial Transplant; 2009 Jun 27; 24(6):1828-33. PubMed ID: 19131346
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  • 40. Estimating the glomerular filtration rate in the general population using different equations: effects on classification and association.
    Pattaro C, Riegler P, Stifter G, Modenese M, Minelli C, Pramstaller PP.
    Nephron Clin Pract; 2013 Jun 27; 123(1-2):102-11. PubMed ID: 23797027
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