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Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms.
Ren Fail
December 2024
Division of Nephrology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Context: Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).
Objective: This study explored the most suitable classification algorithm for PMN identification, and to provide data reference for PMN diagnosis research.
Methods: A total of 500 patients were referred to Luo-he Central Hospital from 2019 to 2021.
The Significance of Anti-PLA2R in Diabetic Kidney Disease: Truly a False Positive?
Glomerular Dis
April 2024
Department of Renal Medicine, Northern Care Alliance NHS Foundation Trust, Salford, UK.
False-positive anti-PLA2R ELISA testing in patients with diabetes mellitus.
Kidney Int
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Arkana Laboratories, Little Rock, Arkansas, USA.
Establishment and application of an immunoassay for the simultaneous detection of IgG and its subtype IgG4 autoantibodies against M-type phospholipase A2 receptor.
Clin Biochem
October 2021
The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi Clinical Medical College of Nanjing Medical University, Wuxi, China. Electronic address:
Background: The renal biopsy is an accurate and reliable gold standard for membranous nephropathy (MN) diagnosis. However, it is an invasive procedure involving the risk of hemorrhage or infection. Thus, an alternative approach that can facilitate the effective diagnosis and treatment monitoring of idiopathic membranous nephropathy (IMN) is urgently needed.
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