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For: Liu L, Gao B, Wang J, Yang C, Wu S, Wu Y, Chen S, Li Q, Zhang H, Wang G, Chen M, Zhao MH, Zhang L. Clinical significance of single and persistent elevation of serum high-sensitivity C-reactive protein levels for prediction of kidney outcomes in patients with impaired fasting glucose or diabetes mellitus. J Nephrol 2020;34:1179-1188. [PMID: 32880885 DOI: 10.1007/s40620-020-00848-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 08/18/2020] [Indexed: 10/23/2022]
Number Cited by Other Article(s)
1
Lin X, Liu C, Wang H, Fan X, Li L, Xu J, Li C, Wang Y, Cai X, Peng X. A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital. BMC Med Inform Decis Mak 2025;25:148. [PMID: 40140809 PMCID: PMC11948915 DOI: 10.1186/s12911-025-02977-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 03/17/2025] [Indexed: 03/28/2025]  Open
2
Song H, Liao Y, Hu H, Wan Q. Nonlinear association between proteinuria levels and the risk of cardiovascular disease events and all-cause mortality among chronic kidney disease patients. Ren Fail 2024;46:2310727. [PMID: 38345084 PMCID: PMC10863521 DOI: 10.1080/0886022x.2024.2310727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 01/22/2024] [Indexed: 02/15/2024]  Open
3
Ou SM, Tsai MT, Lee KH, Tseng WC, Yang CY, Chen TH, Bin PJ, Chen TJ, Lin YP, Sheu WHH, Chu YC, Tarng DC. Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms. BioData Min 2023;16:8. [PMID: 36899426 PMCID: PMC10007785 DOI: 10.1186/s13040-023-00324-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 02/17/2023] [Indexed: 03/12/2023]  Open
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