These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

208 related articles for article (PubMed ID: 24609482)

  • 41. 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; 134(14):617-23. PubMed ID: 20226480
    [TBL] [Abstract][Full Text] [Related]  

  • 42. The modification of diet in renal disease and chronic kidney disease epidemiology collaboration formulas versus measured or estimated creatinine clearance in kidney transplant recipients.
    Chrobak L; Dębska-Ślizień A; Jankowska M; Sledziński Z; Rutkowski B
    Transplant Proc; 2014 Oct; 46(8):2664-7. PubMed ID: 25380890
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Clinical implications of the CKD epidemiology collaboration (CKD-EPI) equation compared with the modification of diet in renal disease (MDRD) study equation for the estimation of renal dysfunction in patients with cardiovascular disease.
    Tarantini L; Barbati G; Cioffi G; McAlister FA; Ezekowitz JA; Mazzone C; Faganello G; Russo G; Franceschini Grisolia E; Di Lenarda A
    Intern Emerg Med; 2015 Dec; 10(8):955-63. PubMed ID: 26123617
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Long-term prognostic value for patients with chronic heart failure of estimated glomerular filtration rate calculated with the new CKD-EPI equations containing cystatin C.
    Zamora E; Lupón J; de Antonio M; Vila J; Peñafiel J; Galán A; Urrutia A; Domingo M; Bayes-Genis A
    Clin Chem; 2014 Mar; 60(3):481-9. PubMed ID: 24255081
    [TBL] [Abstract][Full Text] [Related]  

  • 45. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Comparison of the MDRD Study and the CKD-EPI Study equations in evaluating trends of estimated kidney function at population level: findings from the National FINRISK Study.
    Juutilainen A; Kastarinen H; Antikainen R; Peltonen M; Salomaa V; Tuomilehto J; Jousilahti P; Sundvall J; Laatikainen T; Kastarinen M
    Nephrol Dial Transplant; 2012 Aug; 27(8):3210-7. PubMed ID: 22492828
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Renal function in heart failure: a disparity between estimating function and predicting mortality risk.
    Plischke M; Neuhold S; Kohl M; Heinze G; Sunder-Plassmann G; Pacher R; Hülsmann M
    Eur J Heart Fail; 2013 Jul; 15(7):763-70. PubMed ID: 23429976
    [TBL] [Abstract][Full Text] [Related]  

  • 48. The predictive value of five glomerular filtration rate formulas for long-term mortality in patients undergoing coronary artery bypass grafting.
    Ram E; Peled Y; Karni E; Mazor Dray E; Cohen H; Raanani E; Sternik L
    J Card Surg; 2022 Sep; 37(9):2663-2670. PubMed ID: 35914027
    [TBL] [Abstract][Full Text] [Related]  

  • 49. 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; 16():198. PubMed ID: 26630928
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Performance of the MDRD, CKD-EPI, and Cockcroft-Gault Formulas in Relation to Nutritional Status in Stable Renal Transplant Recipients.
    Czyżewski Ł; Wyzgał J; Czyżewska E; Kurowski A; Sierdziński J; Łabuś A; Truszewski Z; Szarpak Ł
    Transplant Proc; 2016 Jun; 48(5):1494-7. PubMed ID: 27496434
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Comparison of Estimated Glomerular Filtration Rate with Both Serum Creatinine and Cystatin C (eGFRcr-cys) versus Single Analyte (eGFRcr or eGFRcys) Using CKD-EPI and MDRD Equations in Tertiary Care Hospital Settings.
    Khalid UB; Haroon ZH; Aamir M; Ain QU; Mansoor K; Jaffar SR
    J Coll Physicians Surg Pak; 2020 Jul; 30(7):701-706. PubMed ID: 32811598
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Difference between CKD-EPI and MDRD equations in calculating glomerular filtration rate in patients with cirrhosis.
    Chen YW; Chen HH; Wang TE; Chang CW; Chang CW; Wu CJ
    World J Gastroenterol; 2011 Oct; 17(40):4532-8. PubMed ID: 22110285
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Modification of Diet in Renal Disease versus Chronic Kidney Disease Epidemiology Collaboration equation to estimate glomerular filtration rate in obese patients.
    Bouquegneau A; Vidal-Petiot E; Vrtovsnik F; Cavalier E; Rorive M; Krzesinski JM; Delanaye P; Flamant M
    Nephrol Dial Transplant; 2013 Nov; 28 Suppl 4():iv122-30. PubMed ID: 24026245
    [TBL] [Abstract][Full Text] [Related]  

  • 54. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation provides a better definition of cardiovascular burden associated with CKD than the Modification of Diet in Renal Disease (MDRD) Study formula in subjects with type 2 diabetes.
    Pugliese G; Solini A; Bonora E; Orsi E; Zerbini G; Giorgino F; Cavalot F; Pontiroli AE; Baroni MG; Morano S; Nicolucci A; Penno G
    Atherosclerosis; 2011 Sep; 218(1):194-9. PubMed ID: 21612781
    [TBL] [Abstract][Full Text] [Related]  

  • 55. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Left Main Revascularization With PCI or CABG in Patients With Chronic Kidney Disease: EXCEL Trial.
    Giustino G; Mehran R; Serruys PW; Sabik JF; Milojevic M; Simonton CA; Puskas JD; Kandzari DE; Morice MC; Taggart DP; Gershlick AH; Généreux P; Zhang Z; McAndrew T; Redfors B; Ragosta M; Kron IL; Dressler O; Leon MB; Pocock SJ; Ben-Yehuda O; Kappetein AP; Stone GW
    J Am Coll Cardiol; 2018 Aug; 72(7):754-765. PubMed ID: 30092952
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Relationship between Arterial Stiffness and Renal Function Determined by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Equations in a Chinese Cohort Undergoing Health Examination.
    Tang B; Tu W; Zhao J; Deng X; Tan I; Butlin M; Avolio A; Zuo J
    Biomed Res Int; 2022; 2022():8218053. PubMed ID: 35321070
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Performance of creatinine-based equations for estimating glomerular filtration rate changes over time.
    van Rijn MHC; Metzger M; Flamant M; Houillier P; Haymann JP; van den Brand JAJG; Froissart M; Stengel B
    Nephrol Dial Transplant; 2020 May; 35(5):819-827. PubMed ID: 30184233
    [TBL] [Abstract][Full Text] [Related]  

  • 59. [Comparison between two equations to estimated glomerular filtration rate].
    Esteve Poblador S; Gorriz Pintado S; Ortuño Alonso M
    Rev Clin Esp; 2012 Feb; 212(2):75-80. PubMed ID: 22119342
    [TBL] [Abstract][Full Text] [Related]  

  • 60. [Concordance between the equations "Chronic Kidney Disease Epidemiological Collaboration" and "Modification of Diet in Renal Disease" with the "Berlin Initiative Study" to estimate renal function in the elderly].
    Escribano-Serrano J; Casto-Jarillo C; Berruguilla-Pérez E; González-Borrachero M; Santotoribio JD; Cañavate-Solano C; Calero-Ruiz MM; Michán-Doña A
    Semergen; 2019 Oct; 45(7):441-448. PubMed ID: 31151863
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.