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Annals of Vascular Surgery|September 20, 2019
To Ligate or Not to Ligate: A Meta-analysis of Cardiac Effects and Allograft Function following Arteriovenous Fistula Closure in Renal Transplant RecipientsHuanhuan Zheng, Shuangshan Bu, Yan Song, et al.Renal Failure|August 31, 2025
Lower absolute numbers of CD4+ naïve and CD8+ effector memory cells in peripheral blood are potential predictive indicators of renal endpoint events in patients with chronic kidney diseaseXuya Chen, Haoyang Guo, Danxia Jin, et al.Renal Failure|May 5, 2022
A risk prediction model for contrast-induced nephropathy associated with gadolinium-based contrast agentsHuanhuan Zheng, Guolang Wang, Qianqian Cao, et al.Renal Failure|May 26, 2025
The value of triglyceride glucose-body mass index, fasting blood glucose to HDL-C ratio, and platelet to HDL-C ratio in predicting abdominal aortic calcification in maintenance hemodialysis patientsShanshan Chen, Qianqian Cao, Shuangshan Bu, et al.Computers in Biology and Medicine|September 6, 2023
An optimized machine learning model for predicting hospitalization for COVID-19 infection in the maintenance dialysis populationShuangshan Bu, HuanHuan Zheng, Shanshan Chen, et al.Renal Failure|July 26, 2023
Acute kidney injury in patients with cancer receiving anti-PD-1/PD-L1 antibodies: incidence, risk factors, and prognosisQianqian Lou, Jianguang Gong, Binxian Ye, et al.Peerj|September 2, 2025
A closer look at severe acute kidney injury: risk factors and outcomes in PD-1/PD-L1 antibody treatment from a retrospective studyYuemeng Wu, Lingfan Luo, Xin Sun, et al.Scientific Reports|September 26, 2025
Predictive nomogram for severe acute kidney injury in patients with cancer receiving anti-PD-1/PD-L1 antibodies: a multicenter retrospective studyQianqian Lou, Lingfan Luo, Xiaolan Ye, et al.BMC Nephrology|June 23, 2025
Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy predictionZhengbiao Hu, Shuangshan Bu, Kai Wang, et al.Pageof 1