Immunity, inflammation and disease
Identification of Discriminatory Factors and Construction of a Nomogram for Differentiating IgG4-RD and DLBCL
Von Chen Y, Li W, Zhou Z und 2 weiteren.
Inhalt auf Englisch
Abstract
Objective
To determine clinically useful indicators that distinguish IgG4-related disease (IgG4-RD) from diffuse large B-cell lymphoma (DLBCL) and to construct a predictive model that may assist early identification.
Methods
We retrospectively analyzed 19 patients with IgG4-RD and 37 with DLBCL who presented with lymphadenopathy and received treatment at the Affiliated Hospital of Xuzhou Medical University between January 2012 and October 2025. The distribution of continuous variables was checked before group comparisons. Data with an approximately normal distribution are expressed as mean ± standard deviation (mean ± SD) and were compared by independent-samples t-tests; skewed data are reported as median (interquartile range [IQR]) and were compared by the Mann-Whitney U test. Categorical variables are presented as counts and percentages (%) and were compared using the χ2 test or Fisher's exact test, as appropriate. Variables significant in univariate analyses were taken forward into multivariable logistic regression. Predictive performance was evaluated by receiver operating characteristic (ROC) analysis, calibration analysis, and decision curve analysis (DCA).