ArticleRespiratory research2023
Clinical nomogram assisting in discrimination of juvenile dermatomyositis-associated interstitial lung disease.
Article in Respiratory research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Interferon-γ as a predictive biomarker for macrophage activation syndrome in systemic JIA: a chinese multicenter study.Clinical rheumatology · 2026Article
- Prediction nomogram of serum interferon-γ enable early identification of macrophage activation syndrome in children with Kawasaki disease.Clinical rheumatology · 2026Article
- Article
- Rituximab for Early-Onset Juvenile Dermatomyositis Complicated by Interstitial Lung Disease.Case reports in pediatrics · 2025Article
- The emerging paradigm in pediatric rheumatology: harnessing the power of artificial intelligence.Rheumatology international · 2024Review
- Undercover lung damage in pediatrics - a hot spot in morbidity caused by collagenoses.Frontiers in immunology · 2024Review
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo establish a prediction model using non-invasive clinical features for early discrimination of DM-ILD in clinical practice.
methodClinical data of pediatric patients with JDM were retrospectively analyzed using machine learning techniques. The early discrimination model for JDM-ILD was established within a patient cohort diagnosed with JDM at a children's hospital between June 2015 and October 2022.
resultsA total of 93 children were included in the study, with the cohort divided into a discovery cohort (n = 58) and a validation cohort (n = 35). Univariate and multivariate analyses identified factors associated with JDM-ILD, including higher ESR (OR, 3.58; 95% CI 1.21-11.19, P = 0.023), higher IL-10 levels (OR, 1.19; 95% CI, 1.02-1.41, P = 0.038), positivity for MDA-5 antibodies (OR, 5.47; 95% CI, 1.11-33.43, P = 0.045). A nomogram was developed for risk prediction, demonstrating favorable discrimination in both the discovery cohort (AUC, 0.736; 95% CI, 0.582-0.868) and the validation cohort (AUC, 0.792; 95% CI, 0.585-0.930). Higher nomogram scores were significantly associated with an elevated risk of disease progression in both the discovery cohort (P = 0.045) and the validation cohort (P = 0.017).
conclusionThe nomogram based on the ESIM predictive model provides valuable guidance for the clinical evaluation and long-term prognosis prediction of JDM-ILD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.