Development and application of a dynamic prediction model for esophageal cancer.

ABSTRACT:

Background

Current prediction models of esophageal cancer (EC) are limited to predicting at a specific time point, and ignore changes in hazard ratios of predictive variables, known as time-varying effects. Our study aimed to investigate variables with time-varying effects in EC and to develop a prediction model that can update the 5-year predicted dynamic overall survival (DOS) probability during the follow-up period.

Methods

Firstly, the clinicopathological information and survival data of 4,541 patients with EC was obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2007 and 2011 for modeling. Secondly, the time-varying effect of variables was assessed and the dynamic prediction model was developed based on the proportional baselines land

SUBMITTER: Du K 

PROVIDER: S-EPMC8576729 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature