ArticleEClinicalMedicine2021
A nomogram to predict the risk of lupus enteritis in systemic lupus erythematosus patients with gastroinctestinal involvement.
Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Comprehensive analysis of predictive models for disease manifestations and case fatality in systemic lupus erythematosus.NPJ digital medicine · 2026Review
- Belimumab-induced remission in refractory lupus mesenteric vasculitis: a case report with 49-month follow-up.Frontiers in immunology · 2026Article
- An Observational Study on Clinical Insights and Outcome Prediction of Lupus Enteritis in Indian Systemic Lupus Erythematosus Patients.Mediterranean journal of rheumatology · 2025Article
- Article
- Lupus Enteritis in the Absence of a Lupus Flare. A Case Report and Review of Literature.Journal of community hospital internal medicine perspectives · 2022Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLupus enteritis (LE), a main cause of acute abdominal pain in systemic lupus erythematosus (SLE) patients, is a serious and potentially fatal complication. This study aimed to identify clinical serological indicators to establish a nomogram to assess LE in SLE patients with gastrointestinal manifestations.
methodsThe clinical and laboratory data of SLE patients with gastrointestinal manifestations that were hospitalized in the West China Hospital from January 2010 to January 2020 were retrospectively analyzed. The least absolute shrinkage and selection operator logistic regression model was used to select potentially relevant features. Subsequently, a nomogram was developed using multivariable logistic analysis. The performance of the nomogram was evaluated using a receiver operating characteristic curve, a calibration curve, and decision curve analysis (DCA).
findingsWe included a total of 8,505 SLE patients, of which 251 had experienced gastrointestinal manifestations. The patients were randomly divided into training (
interpretationThe LRA model exhibits good predictive ability in assessing LE risk in SLE patients with gastrointestinal manifestations.
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Registered trials
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