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

• DOI: 10.1515/jtim-2023-0133
• Publication Date: 2025-01-10T12:47:59Z
• Authors: Kui Wang; Lingying Zhao; Tianyi Che; Chunhua Zhou; Xianzheng Qin; Yu Hong; Weitong Gao; Ling Zhang; Yubei Gu; Duowu Zou
• Keywords: Nomogram; Nephrology; Prognostic model

Primary colorectal lymphoma (PCL) is an infrequently occurring form of cancer, with the elderly population exhibiting increasing prevalence disease. Furthermore, advanced age associated a poorer prognosis. Accurate prognostication essential for treatment individuals diagnosed PCL. However, no reliable predictive survival model exists patients Therefore, this study aimed to develop individualized prediction PCL and stratify its risk aid in monitoring patients. Patients aged 60 or older from 1975 2013 Surveillance, Epidemiology, End Results database were selected randomly divided into training cohort ( Age, gender, marital status, Ann Arbor staging, primary site, surgery, histological type, chemotherapy independent predictors Overall Survival (OS) therefore included our nomogram. The Area Under Curve (AUC) 1, 3, 5-year OS training, validation, external validation sets ranged 0.732 0.829. Receiver Operating Characteristic (ROC) curves showed that nomogram outperformed stage system when predicting prognosis at 5 years set, dataset, cohort. Concordance Index (C-index) also demonstrated had excellent accuracy robustness. calibration strong agreement between observed predicted values. In cohort, C-index (0.769, 95%CI: 0.712-0.826) 1000 bootstrap samples indicated high level concordance nomogram-related DCA exhibited superior clinical utility compared stage. online tool overall has been developed: https://medkuiwang.shinyapps.io/DynNomapp/. This was first construct validate nomograms PCL, which better than It will help clinicians manage more accurately.