ArticleAmerican journal of translational research2024
Clinical prediction model for progression from henoch-schönlein purpura to nephritis in pediatric patients.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- New epidemiological characteristics of childhood IgA vasculitis in the post-COVID-19 era: a single-center retrospective cohort study.Pediatric rheumatology online journal · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify independent risk factors for Henoch-Schönlein purpura nephritis (HSPN) in pediatric patients.
methodsThis study enrolled 180 pediatric patients (90 with HSP, 90 with HSPN) hospitalized at the 940th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army from December 2022 to October 2023, with a follow-up of at least six months. Clinical data were collected at the time of the first onset of HSP. Logistic regression analysis identified risk factors, which were subsequently evaluated using Receiver Operating Characteristic (ROC) curve analysis, a calibration plot, a nomogram, and decision curve analysis.
resultsA predictive model was constructed based on serum cystatin C, serum creatinine, immunoglobulin M, and estimated glomerular filtration rate (eGFR). ROC curve analysis showed high predictive accuracy, with an AUC of 0.9444, sensitivity of 0.82, and specificity of 0.98 at the optimal cutoff point. The calibration curve indicated strong agreement between predicted and actual outcomes. Decision curve analysis suggested that the model provides significant net benefits across different risk thresholds.
conclusionThis model effectively predicts the risk of HSPN, facilitating early intervention and improved patient outcomes.
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Registered trials
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