Showing results (2621-2630 of 5,709) with videos related to

Sort By:
Pageof 571
BMC Nephrology|April 1, 2025
Prevalence and patterns of renal vascular variations among potential kidney donors: a Computed Tomography Angiography (CTA) study in SudanSara Osman, Eltayeb AbdAlla, Ladin Ali, et al.
BMC Nephrology|June 15, 2023
Risk of de novo proteinuria following hospitalization with acute kidney injurySaniya S Bonde, Warda Zaman, Raphael Cuomo, et al.
BMC Nephrology|June 15, 2023
Comparison between hydroxychloroquine and systemic corticosteroids in IgA nephropathy: a two-year follow-up studyFeng-Lei Si, Chen Tang, Ji-Cheng Lv, et al.
BMC Nephrology|June 12, 2023
Predicting hyperkalemia in patients with advanced chronic kidney disease using the XGBoost modelHsin-Hsiung Chang, Jung-Hsien Chiang, Chun-Chieh Tsai, et al.
BMC Nephrology|March 6, 2026
Differential associations of transient hyperuricemia and transient hypouricemia with annual changes in estimated glomerular filtration rate in healthy participants: an observational studyNaoyuki Otani, Katsuyuki Tomita, Tomoaki Takata, et al.
BMC Nephrology|February 24, 2026
Voclosporin ameliorates proteinuria in a model of non-inflammatory glomerular diseaseYu Kamigaki, Julie A Dougherty, Amanda P Waller, et al.
BMC Nephrology|March 17, 2026
Comparative efficacy and safety of rituximab versus cyclophosphamide with steroids in primary membranous nephropathy: a systematic review and meta-analysisFangjiao Huang, Chenxin Fu, Maorong Liu, et al.
BMC Nephrology|February 21, 2026
Refractory peritoneal dialysis-associated peritonitis caused by Mycobacterium tuberculosis identified by mNGS: a case reportLichun Wang, Junjie Xu, Peihua He, et al.
BMC Nephrology|June 27, 2023
Clinical features of COVID-19 among patients with end-stage renal disease on hemodialysis in the context of high vaccination coverage during the omicron surge period: a retrospective cohort studyNam-Seon Beck, Soomin Song, Taesung Park, et al.
BMC Nephrology|June 29, 2023
Predicting dry weight change in Hemodialysis patients using machine learningHiroko Inoue, Megumi Oya, Masashi Aizawa, et al.
Pageof 571