ArticleRenal failure2023
A nomogram prediction model for treatment failure in primary membranous nephropathy.
Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Tubulointerstitial inflammation in glomerular diseases: mechanistic pathways, prognostic value, and translational therapeutic targets.Renal failure · 2026Review
- Contemporary review of primary membranous nephropathy.Frontiers in immunology · 2026Review
- Narrative review on decoding the crosstalk between lipid homeostasis and immune pathways in membranous nephropathy.BMC nephrology · 2025Review
- Predicting Remission in Antiphospholipase A2 Receptor Antibody-Associated Membranous Nephropathy: A Secondary Analysis of the GEMRITUX, MENTOR, and STARMEN Trials.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- Urine complement analysis implies complement activation is involved in membranous nephropathy.Frontiers in medicine · 2025Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary membranous nephropathy (PMN) has a heterogeneous natural course. Immunosuppressive therapy is recommended for PMN patients at moderate or high risk of renal function deterioration. Prediction models for the treatment failure of PMN have rarely been reported.
methodsThis study retrospectively studied patients diagnosed as PMN by renal biopsy at Sichuan Provincial People's Hospital from January 2017 to December 2020. Information on clinical characteristics, laboratory test results, pathological examination, and treatment was collected. The outcome was treatment failure, defined as the lack of complete or partial remission at the end of 12 months. Simple logistic regression was used to identify candidate predictive variables. Forced-entry stepwise multivariable logistic regression was used to develop the prediction model, and performance was evaluated using C-statistic, calibration plot, and decision curve analysis. Internal validation was performed by bootstrapping.
resultsIn total, 310 patients were recruited for this study. 116 patients achieved the outcome. Forced-entry stepwise multivariable logistic regression indicated that PLA2Rab titer (OR = 1.002, 95% CI: 1.001-1.004,
conclusionsPLA2R antibody, renal interstitial inflammation infiltration, and C3 deposition on immunofluorescence were the three independent risk factors for treatment failure in PMN. Our prediction model might help identify patients at risk of treatment failure; however, the performance awaits improvement.
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