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For: Cheuiche AV, Queiroz M, Azeredo-da-Silva ALF, Silveiro SP. Performance of Cystatin C-Based Equations for Estimation of Glomerular Filtration Rate in Diabetes Patients: A Prisma-Compliant Systematic Review and Meta-Analysis. Sci Rep 2019;9:1418. [PMID: 30723243 DOI: 10.1038/s41598-018-38286-9] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Kolwelter J, Striepe K, Bosch A, Kannenkeril D, Ott C, Schiffer M, Schmieder RE. Change of renal function after short-term use of cardioprotective agents in patients with type 2 diabetes is not accurately assessed by the change of estimated glomerular filtration rate: an observational study. Diabetol Metab Syndr 2022;14:102. [PMID: 35864523 DOI: 10.1186/s13098-022-00874-1] [Reference Citation Analysis]
2 Ikeda H. The Effect of Mild Renal Dysfunction on the Assessment of Plasma Amino Acid Concentration and Insulin Resistance in Patients with Type 2 Diabetes Mellitus. J Diabetes Res 2022;2022:2048300. [PMID: 35734236 DOI: 10.1155/2022/2048300] [Reference Citation Analysis]
3 Mickelsson M, Söderström E, Stefansson K, Andersson J, Söderberg S, Hultdin J. Smoking tobacco is associated with renal hyperfiltration. Scand J Clin Lab Invest 2021;:1-7. [PMID: 34669529 DOI: 10.1080/00365513.2021.1989713] [Reference Citation Analysis]
4 Akpınar K, Aslan D, Fenkçi SM. Assessment of estimated glomerular filtration rate based on cystatin C in diabetic nephropathy. J Bras Nefrol 2021;43:340-8. [PMID: 33599678 DOI: 10.1590/2175-8239-JBN-2020-0145] [Reference Citation Analysis]
5 Zhu X, Zhou Y, Hong S, Xue Y, Cui Y. Correlation between Serum Bone Turnover Markers and Estimated Glomerular Filtration Rate in Chinese Patients with Diabetes. Dis Markers 2021;2021:6731218. [PMID: 33505536 DOI: 10.1155/2021/6731218] [Reference Citation Analysis]
6 Rothenbacher D, Rehm M, Iacoviello L, Costanzo S, Tunstall-Pedoe H, Belch JJF, Söderberg S, Hultdin J, Salomaa V, Jousilahti P, Linneberg A, Sans S, Padró T, Thorand B, Meisinger C, Kee F, McKnight AJ, Palosaari T, Kuulasmaa K, Waldeyer C, Zeller T, Blankenberg S, Koenig W; BiomarCaRE consortium. Contribution of cystatin C- and creatinine-based definitions of chronic kidney disease to cardiovascular risk assessment in 20 population-based and 3 disease cohorts: the BiomarCaRE project. BMC Med 2020;18:300. [PMID: 33161898 DOI: 10.1186/s12916-020-01776-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
7 Ayoola OO, Bolarinwa RA, Onwuka CC, Idowu BM, Aderibigbe AS. Association between Endothelial Dysfunction, Biomarkers of Renal Function, and Disease Severity in Sickle Cell Disease. Kidney360 2020;1:79-85. [PMID: 35372907 DOI: 10.34067/KID.0000142019] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Zhou H, Yang M, He X, Xu N. eGFR, cystatin C and creatinine in shrunken pore syndrome. Clinica Chimica Acta 2019;498:1-5. [DOI: 10.1016/j.cca.2019.08.001] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.7] [Reference Citation Analysis]