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For: Zafari N, Lotfaliany M, O'Keefe GJ, Kishore K, Torkamani N, MacIsaac RJ, Churilov L, Ekinci EI. Performance of 4 Creatinine-based Equations in Assessing Glomerular Filtration Rate in Adults with Diabetes. J Clin Endocrinol Metab 2021;106:e61-73. [PMID: 33090207 DOI: 10.1210/clinem/dgaa722] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Carolina Fagundes Silva L, Martins Rocha B, Monteiro Escott G, Franciele Porgere I, Afonso Tochetto L, de Almeida Brondani L, Pinho Silveiro S. Accuracy Evaluation of 2021 Chronic Kidney Disease Epidemiology Collaboration, Full Age Spectrum and European Kidney Function Consortium Equations for Estimating Glomerular Filtration Rate in Type 2 Diabetes Mellitus and Healthy Adults. Clinica Chimica Acta 2022. [DOI: 10.1016/j.cca.2022.06.025] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Lv L, Chen X, Hu J, Wu J, Luo W, Shen Y, Lan R, Li X, Wang Y, Luo T, Yang S, Li Q, Wang Z. Effect of Glomerular Filtration Rate by Different Equations on Prediction Models for End-Stage Renal Disease in Diabetes. Front Endocrinol 2022;13:873318. [DOI: 10.3389/fendo.2022.873318] [Reference Citation Analysis]
3 Xia F, Hao W, Liang J, Wu Y, Yu F, Hu W, Zhao Z, Liu W. Applicability of Creatinine-based equations for estimating glomerular filtration rate in elderly Chinese patients. BMC Geriatr 2021;21:481. [PMID: 34481470 DOI: 10.1186/s12877-021-02428-y] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]