A dynamic nomogram and risk stratification system for predicting cancer-specific survival in patients with locally advanced differentiated thyroid cancer: a population-based study.

ABSTRACT:

Background

Locally advanced differentiated thyroid cancer (LADTC) refers to a severe stage of differentiated thyroid cancer (DTC) with a relatively poor prognosis. This study aimed to construct a dynamic nomogram and risk stratification system to predict cancer-specific survival (CSS) in patients with LADTC.

Methods

A total of 4,856 patients diagnosed with LADTC from 2004 to 2020 were included from the Surveillance, Epidemiology, and End Results database. Least absolute shrinkage and selection operator (LASSO) and Cox regression analyses were utilized to identify variables and construct the dynamic nomogram. The performance of the nomogram was assessed using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curve, area under the curve (A

SUBMITTER: Yuan J 

PROVIDER: S-EPMC12432967 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature