Ghaderian SB, Hayati F, Shayanpour S, Beladi Mousavi SS. Diabetes and end-stage renal disease; a review article on new concepts. J Renal Inj Prev. 2015;4(2):28–33.
CAS PubMed PubMed Central Google Scholar
Stevens P, Ahmed S, Carrero J, Foster B, Francis A, Hall KDIGO, et al. Clinical practice guideline for the evaluation and management of chronic Kidney disease. Kidney Int. 2024;105(4):S117–314.
Levey AS, Coresh J, Tighiouart H, Greene T, Inker LA. Measured and estimated glomerular filtration rate: current status and future directions. Nat Rev Nephrol. 2020;16(1):51–64.
Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.
Article PubMed PubMed Central Google Scholar
Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, et al. Estimating glomerular filtration rate from serum creatinine and cystatin c. N Engl J Med. 2012;367(1):20–9.
Article CAS PubMed PubMed Central Google Scholar
Inker LA, Eneanya ND, Coresh J, Tighiouart H, Wang D, Sang Y, et al. New creatinine-and cystatin C–based equations to estimate GFR without race. N Engl J Med. 2021;385(19):1737–49.
Article CAS PubMed PubMed Central Google Scholar
Kumpatla S, Soni A, Viswanathan V. Comparison of two creatinine based equations for routine estimation of GFR in a speciality clinic for diabetes. J Assoc Physicians India. 2017;65(8):38–41.
Rani AA, Viswanathan V. Estimated glomerular filtration rate using creatinine-based chronic kidney disease epidemiology collaboration equation. Indian J Nephrol. 2018;28(6):492–3. https://doi.org/10.4103/ijn.IJN_439_17.
Article CAS PubMed PubMed Central Google Scholar
Shen Y, Wu H, Liu X, Zhu J, Shao W, Wang B, et al. Comparison of the 2021 and 2009 chronic kidney disease epidemiology collaboration creatinine equation for estimated glomerular filtration rate in a Chinese population. Clin Biochem. 2023;116:59–64.
Khandpur S, Awasthi A, Behera MR, Purty AJ, Singh NP, Tiwari S. Kidney disease burden in an Asian Indian population: effect of the new 2021 serum creatinine CKD-EPI equation. Diabetes Res Clin Pract. 2022;193:110120. https://doi.org/10.1016/j.diabres.2022.110120.
Article CAS PubMed Google Scholar
Levin A, Stevens PE. Summary of KDIGO 2012 CKD guideline: behind the scenes, need for guidance, and a framework for moving forward. Kidney Int. 2014;85(1):49–61. https://doi.org/10.1038/ki.2013.444.
Mulay AV, Gokhale SM. Comparison of serum creatinine-based estimating equations with Gates protocol for predicting glomerular filtration rate in Indian population. Indian J Nephrol. 2017;27:124–8.
Article CAS PubMed PubMed Central Google Scholar
Fu EL, Coresh J, Grams ME, Clase CM, Elinder CG, Paik J, et al. Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly white European population. Nephrol Dial Transplant. 2022;38:119–28. https://doi.org/10.1093/ndt/gfac197.
Article PubMed Central Google Scholar
Garofolo M, Vitale M, Penno G, Solini A, Orsi E, Grancini V. Prognostic impact of switching to the 2021 chronic kidney disease epidemiology collaboration creatinine-based equation in Caucasian patients with type 2 diabetes: the renal insufficiency and cardiovascular events (RIACE) Italian multicenter study. Cardiovasc Diabetol. 2024;23(1):377. https://doi.org/10.1186/s12933-024-02450-5.
Article PubMed PubMed Central Google Scholar
McArthur E, Smith G, Sood MM, Blake PG, Brimble KS, Muanda FT, et al. Impact of the 2021 CKD-EPI eGFR equation on kidney care referral criteria in Ontario, Canada: a population-based cross-sectional study. Can J Kidney Health Dis. 2024;11:20543581241229256. https://doi.org/10.1177/20543581241229258.
Article PubMed PubMed Central Google Scholar
Atiquzzaman M, Er L, Djurdjev O, Bevilacqua M, Elliott M, Birks PC, et al. Implications of implementing the 2021 CKD-EPI equation without race on managing patients with kidney disease in British Columbia, Canada. Kidney Int Rep. 2024;9(4):830–42. https://doi.org/10.1016/j.ekir.2024.01.039.
Article PubMed PubMed Central Google Scholar
Farah RI, Alhajahjeh A, Al-Farahid O, Abuzaid H, Hiasat D, Rayyan R, et al. Comparison and evaluation of the 2009 and 2021 chronic kidney disease-epidemiological collaboration equations among Jordanian patients with type 2 diabetes mellitus. Acta Diabetol. 2024;61(2):169–80.
Article CAS PubMed Google Scholar
Betzler BK, Sultana R, He F, Tham YC, Lim CC, Wang YX, et al. Impact of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) GFR estimating equations on CKD prevalence and classification among asians. Front Med (Lausanne). 2022;14(9):957437.
Ferreira JP, Zannad F, Solomon SD, Pitt B, Rossignol P. Influence of race in the estimation of glomerular filtration rate in patients with a high cardiovascular and renal risk. Clin Kidney J. 2021;15(4):822–4. https://doi.org/10.1093/ckj/sfab246.
Article PubMed PubMed Central Google Scholar
Delanaye P, Vidal-Petiot E, Bjork J, Ebert N, Eriksen BO, Dubourg L, et al. Performance of creatinine-based equations to estimate glomerular filtration rate in White and Black populations in Europe, Brazil and Africa. Nephrol Dial Transplant. 2023;38(1):106–18. https://doi.org/10.1093/ndt/gfac241.
Article CAS PubMed Google Scholar
Ebert N, Pottel H, Giet MV, Kuhlmann MK, Delanaye P, Schaeffner E. The impact of the new CKD-EPI equation on GFR estimation in the elderly. Dtsch Arztebl Int. 2022;119(41):694–5. https://doi.org/10.3238/arztebl.m2022.0258.
Article PubMed PubMed Central Google Scholar
Jeong TD, Hong J, Lee W, Chun S, Min WK. Accuracy of the new creatinine-based equations for estimating glomerular filtration rate in Koreans. Ann Lab Med. 2023;43(3):244–52. https://doi.org/10.3343/alm.2023.43.3.244.
Article CAS PubMed Google Scholar
Kwok R, Kishore K, Zafari T, Koye DN, Hachem M, de Boer IH, et al. Comparative performance of CKD-EPI equations in people with diabetes: An international pooled analysis of individual participant data. Diabetes Res Clin Pract. 2025May;1(223):112104.
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