[HTML][HTML] A Dynamic Prediction Model for Renal Progression in Primary Membranous Nephropathy

Y Liang, Q Li, Z Zou, B Huang, N Zhong… - … Journal of Medical …, 2024 - ncbi.nlm.nih.gov
Objective: This study aimed to build and validate a practical web-based dynamic prediction
model for predicting renal progression in patients with primary membranous nephropathy …

A nomogram prediction model for treatment failure in primary membranous nephropathy

C Geng, L Huang, Q Li, G Li, Y Li, P Zhang, Y Feng - Renal Failure, 2023 - Taylor & Francis
Background Primary membranous nephropathy (PMN) has a heterogeneous natural course.
Immunosuppressive therapy is recommended for PMN patients at moderate or high risk of …

A Nomogram Prediction Model for Treatment Failure in Primary Membranous Nephropathy: TH-PO634

C Geng, Y Feng - Journal of the American Society of Nephrology, 2023 - journals.lww.com
Background: The natural course of primary membranous nephropathy (PMN) is
heterogeneous. Immunosuppressive therapy is recommended to PMN patients at risk for …

A preliminary nomogram model for predicting relapse of patients with primary membranous nephropathy

M Li, H Wang, X Lai, D Guo, C Jiang, Z Fu, X Liu - Renal Failure, 2023 - Taylor & Francis
Objective To explore the predictive factors and establish a nomogram model for predicting
relapse risk in primary membranous nephropathy (PMN). Methods The clinical, laboratory …

New risk score for predicting progression of membranous nephropathy

H Xiaofan, X Jing, G Chenni, W Yifan, Y Xialian… - Journal of translational …, 2019 - Springer
Abstract Background Patients with Idiopathic membranous nephropathy (IMN) have various
outcomes. The aim of this study is to construct a tool for clinicians to precisely predict …

Prediction models of primary membranous nephropathy: a systematic review and Meta-Analysis

C Geng, L Huang, Y Li, AY Wang, G Li… - Journal of Clinical …, 2023 - mdpi.com
Background: Several statistical models for predicting prognosis of primary membranous
nephropathy (PMN) have been proposed, most of which have not been as widely accepted …

A dynamic online nomogram for predicting renal outcomes of idiopathic membranous nephropathy

F Wang, J Xu, F Wang, X Yang, Y Xia, H Zhou… - BMC Medical Informatics …, 2024 - Springer
Background Because spontaneous remission is common in IMN, and there are adverse
effects of immunosuppressive therapy, it is important to assess the risk of progressive loss of …

Prediction model for treatment response of primary membranous nephropathy with nephrotic syndrome

M Li, X Lai, J Liu, Y Yu, X Li, X Liu - Clinical and Experimental Nephrology, 2024 - Springer
Objective To investigate the predictors and establish a nomogram model for the prediction of
the response to treatment in primary membranous nephropathy (PMN) with nephrotic …

Machine learning model to estimate probability of remission in patients with idiopathic membranous nephropathy

L Duo, L Chen, Y Zuo, J Guo, M He, H Zhao… - International …, 2023 - Elsevier
Background Idiopathic membranous nephropathy (IMN) is a type of nephrotic syndrome and
the leading cause of chronic kidney disease. As far as we know, no predictive model for …

Nomogram to predict the progression of patients with primary membranous nephropathy and nephrotic syndrome

L Liu, H Wang, B Zhao, X Liu, Y Sun, Y Mao - International urology and …, 2022 - Springer
Background The outcome of patients with primary membranous nephropathy (pMN) who
present with nephrotic syndrome (NS) is variable and difficult to predict. The goal of this …