Nomogram-Based New Recurrence Predicting System in Early-Stage Papillary Thyroid Cancer.

ABSTRACT:

Background and objectives

The clinicopathological risk factors to predict recurrence of papillary thyroid cancer (PTC) patients remain controversial.

Methods

PTC patients treated with thyroidectomy between January 1997 and December 2011 at the First Affiliated Hospital of Zhejiang University (Zhejiang cohort) were included. Multivariate Cox regression analysis was conducted to identify independent recurrence predictors. Then, the nomogram model for predicting probability of recurrence was built.

Results

According to Zhejiang cohort (N = 1,697), we found that the 10-year event-free survival (EFS) rates of PTC patients with early-stage (TNM stages I, II, and III) were not well discriminated (91.6%, 89.0%, and 90.7%; P=0.768). The multivariate Cox model ide

SUBMITTER: Ding Y 

PROVIDER: S-EPMC6754965 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature