ArticleMedicine2017
Development and validation of a prediction score system in lupus nephritis.
Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Towards the best kidney failure prediction tool: a systematic review and selection aid.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020Pooled it
- Pooled it
- Kidney Biopsy and Prognosis in Lupus Nephritis: Histological Predictors of Renal Outcome-A Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Predictors of renal and patient survival in lupus nephritis: a 28-year single-center cohort study.Frontiers in nephrology · 2026Article
- Article
- Urinary levels of ceruloplasmin and monocyte chemoattractant protein-1 correlate with extra-capillary proliferation and chronic damage in patients with lupus nephritis.Clinical rheumatology · 2021Article
- Effectiveness and safety of common therapeutic drugs for refractory lupus nephritis: A network meta-analysis.Experimental and therapeutic medicine · 2020Article
- Clinicopathological study of male and female patients with lupus nephritis: a retrospective study.International urology and nephrology · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The risk assessment for developing end-stage renal disease (ESRD) remains unclear in patients with lupus nephritis (LN). The purpose of this study was to develop and validate a prediction rule for estimating the individual risk of ESRD in patients with LN using clinical and pathological data.A total of 599 patients with LN diagnosed by renal biopsy between June 2009 and June 2014 in West China Hospital of Sichuan University were retrospectively followed. Patients were randomly divided into derivation cohort (n = 379) and validation cohort (n = 220). The SLEDAI score was used to evaluate the clinical disease activity. Pathological lesions according to the International Society of Nephrology and the Renal Pathology Society (ISN/RPS) systems were meticulously evaluated. The risk factors for developing ESRD were evaluated using a Cox proportional hazard model with a stepwise backward elimination method.In the derivation cohort, 100 patients (26.5%) developed ESRD during the average 46.0 ± 21.1 months' follow-up. The final prediction model included cellular crescents, active index >20, glomerular sclerosis, fibrous crescents, interstitial fibrosis, chronic index >5, nephrotic syndrome, and eGFR <45 mL/min as independent risk factors for developing ESRD. To create a prediction rule, the score for each variable was weighted by the regression coefficients calculated using the relevant Cox model. The prediction rule was validated in the validation cohort. During the follow-up period, 45 patients (21.5%) in validation cohort progressed to ESRD.This study developed and validated a new prediction rule using clinical measures and pathological changes for developing ESRD in patients with LN.
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