A visualized dynamic prediction model for survival of patients with geriatric thyroid cancer: A population-based study.

ABSTRACT:

Objective

Thyroid cancer (TC) is a common malignancy with a poor prognosis with aging. However, no accurate predictive survival model exists for patients with geriatric TC.We aimed to establish prediction models of prognosis in elderly TC.

Methods

We retrospectively reviewed the clinicopathology characteristics of patients with geriatric TC in the Surveillance, Epidemiology, and End Results database (SEER) from 2004 to 2018. The risk predictors used to build the nomograms were derived from the Cox proportional risk regression. These nomograms were used to predict 1-, 3-, and 5-year overall survival and cancer-specific survival in elderly patients with TC. The accuracy and discriminability of the new model were evaluated by the consistency index (C-index) and calibration curv

SUBMITTER: Zhang TT 

PROVIDER: S-EPMC9780441 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature