Development and validation of web-based risk score predicting prognostic nomograms for elderly patients with primary colorectal lymphoma: A population-based study

作者：Kui Wang, Lingying Zhao, Tianyi Che, Chunhua Zhou, Xianzheng Qin, Hong Yu, Weitong Gao, Ling Zhang, Yubei Gu, Duowu Zou · 发表于：Journal of Translational Internal Medicine · 年份：2024 · DOI：10.1515/jtim-2023-0133 · 被引用次数：19 · 研究领域：Lymphoma Diagnosis and Treatment、Inflammatory Biomarkers in Disease Prognosis、Multiple and Secondary Primary Cancers

Background and Objectives: Primary colorectal lymphoma (PCL) is an infrequently occurring form of cancer, with the elderly population exhibiting an increasing prevalence of the disease. Furthermore, advanced age is associated with a poorer prognosis. Accurate prognostication is essential for the treatment of individuals diagnosed with PCL. However, no reliable predictive survival model exists for elderly patients with PCL. Therefore, this study aimed to develop an individualized survival prediction model for elderly patients with PCL and stratify its risk to aid in the treatment and monitoring of patients. Methods: = 207) were used for external validation. The research team utilized both Cox regression and the least absolute shrinkage and selection operator (LASSO) regression to analyze potential predictors, in order to identify the most suitable model for constructing an OS-nomogram and an associated network version. The risk stratification is constructed on the basis of this model. The performance of the model was evaluated based on the consistency index (C-index), calibration curve, and decision curve analysis (DCA) to determine its resolving power and calibration capability. Results: Age, gender, marital status, Ann Arbor staging, primary site, surgery, histological type, and chemotherapy were independent predictors of Overall Survival (OS) and were therefore included in our nomogram. The Area Under the Curve (AUC) of the 1, 3, and 5-year OS in the training, validation, a...