ArticleKidney international reports2020
External Validation of International Risk-Prediction Models of IgA Nephropathy in an Asian-Caucasian Cohort.
Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Incorporating Pathomics Into IgAN Risk Prediction.Kidney international reports · 2026Article
- Segmental Glomerulosclerosis Subclassification in the Oxford Classification System (MEST-C) Improves the International IgA Nephropathy Prediction Tool.Journal of clinical medicine · 2026Article
- External validation of the international IgA nephropathy prediction tool in a Thai cohort.Frontiers in medicine · 2026Article
- Novel therapies improve prognosis of IgAN and limit the applicability of the International IgA Nephropathy Prediction Tool.Clinical kidney journal · 2025Article
- Effects of Podocyte Foot Process Effacement on Kidney Prognosis and Response to Immunosuppressive Therapy in IgA Nephropathy.Kidney medicine · 2025Article
- Validation of 2 Prognostic Models to Predict Renal Allograft Outcome After IgA Nephropathy Recurrence.Kidney international reports · 2025Article
- The evolving understanding of systemic mechanisms in organ-specific IgA nephropathy: a focus on gut-kidney crosstalk.Theranostics · 2025Review
- External Validation of the International Prognosis Prediction Model of IgA Nephropathy.Renal failure · 2024Article
- The impact of mild and moderate COVID-19 infection on the progression of kidney dysfunction in patients with IgA nephropathy.Clinical kidney journal · 2024Article
- Machine learning-based diagnosis and prognosis of IgAN: A systematic review and meta-analysis.Heliyon · 2024Review
- External validation of the pediatric International IgA Nephropathy Prediction Tool in a central China cohort.Clinical and experimental nephrology · 2024Article
- Contemporary review of IgA nephropathy.Frontiers in immunology · 2024Review
- External Validation of the International IgA Nephropathy Prediction Tool in Older Adult Patients.Clinical interventions in aging · 2024Article
- Evaluating Progression Risk in Patients With Immunoglobulin A Nephropathy.Kidney international reports · 2023Review
- Ethnicity and IgA nephropathy: worldwide differences in epidemiology, timing of diagnosis, clinical manifestations, management and prognosis.Clinical kidney journal · 2023Review
- Validation of two IgA nephropathy risk-prediction tools using a cohort with a long follow-up.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023Article
- Machine learning in predictingFrontiers in immunology · 2023Article
- External validation of the international prediction tool in Korean patients with immunoglobulin A nephropathy.Kidney research and clinical practice · 2022Article
- The International IgA Nephropathy Network Prediction Tool Underestimates Disease Progression in Indian Patients.Kidney international reports · 2022Article
- Validation of the International IgA Nephropathy Prediction Tool in the Greek Registry of IgA Nephropathy.Frontiers in medicine · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTwo prediction models for IgA nephropathy (IgAN) using clinical variables and the Oxford MEST scores were developed and validated in 2 multiethnic cohorts. Additional external validation is required.
methodsBiopsy-proven Chinese and Argentinian patients with IgAN were included. The primary outcome was defined as a 50% decline in estimated glomerular filtration rate (eGFR) or end-stage renal disease. C-statistics and stratified analyses were used for model discrimination, coefficient of determination (R
resultsA total of 1275 patients were enrolled, with a mean age of 34 (interquartile range: 27-42) years, 50% of whom (638 of 1275) were men. Use of renin-angiotensin system blockers was higher than in previously reported cohorts, whereas other variables were comparable. The C-statistic of the models was 0.81, and R
conclusionThe prediction models showed good performance on personalized risk assessment, which may be used as drug-specific, precision-medicine approaches to treatment decisionmaking.
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