Ontology highlight
ABSTRACT: Background
The authors aimed to create a novel model to predict lymphatic metastasis in thymic epithelial tumors.Methods
Data of 1018 patients were collected from the Surveillance, Epidemiology, and End Results database from 2004 to 2015. To construct a nomogram, the least absolute shrinkage and selection operator (LASSO) regression model was used to select candidate features of the training cohort from 2004 to 2013. A simple model called the Lymphatic Node Metastasis Risk Scoring System (LNMRS) was constructed to predict lymphatic metastasis. Using patients from 2014 to 2015 as the validation cohort, the predictive performance of the model was determined by receiver operating characteristic (ROC) curves.Results
The LASSO regression model showed that age, extension,
SUBMITTER: Cheng X
PROVIDER: S-EPMC8677650 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature