A High-Quality Nomogram for Predicting Lung Metastasis in Newly Diagnosed Stage IV Thyroid Cancer: A Population-Based Study.

ABSTRACT: Introduction: Lung metastasis (LM) implies a very dismal event in patients with thyroid cancer. We aimed to construct a nomogram to predict LM for newly diagnosed stage IV thyroid cancer. Methods: A total of 1407 stage IV thyroid cancer patients were gathered from the surveillance, epidemiology, and end results (SEER) database. Pearson's Chi-squared test or Fisher's exact test was used to identify LM-related factors, and logistic regression analysis was employed to identify independent risk parameters of LM, which were included to establish a nomogram model by R software. The discriminative ability and predictive accuracy of the nomogram were assessed using the area under the curve (AUC) and calibration plots. Cox regression analysis and Kaplan-Meier analysis were applied to

SUBMITTER: Wang W 

PROVIDER: S-EPMC10103255 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature