Ontology highlight
ABSTRACT: Background
Although patients with idiopathic inflammatory myopathy (IIM) have a higher cancer risk than the general population, this risk varies among IIM patients based on clinical factors such as IIM subtype, clinical features, and autoantibody profiles. This study aimed to establish a risk-stratification system to identify those with high-risk for cancer in patients with IIM.Methods
This study included 481 patients with IIMs from four independent cohorts in South Korea. The primary outcome was myositis-associated cancer, defined as cancers occurring within 3 years before or after the diagnosis of IIM. Logistic regression with Least Absolute Shrinkage and Selection Operator (LASSO) regularization was used to select predictors from 24 prespecified factors for the multivari
SUBMITTER: Kim YK
PROVIDER: S-EPMC12584220 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature