Prediction Model for Gastric Cancer Incidence in Korean Population.

ABSTRACT:

Background

Predicting high risk groups for gastric cancer and motivating these groups to receive regular checkups is required for the early detection of gastric cancer. The aim of this study is was to develop a prediction model for gastric cancer incidence based on a large population-based cohort in Korea.

Method

Based on the National Health Insurance Corporation data, we analyzed 10 major risk factors for gastric cancer. The Cox proportional hazards model was used to develop gender specific prediction models for gastric cancer development, and the performance of the developed model in terms of discrimination and calibration was also validated using an independent cohort. Discrimination ability was evaluated using Harrell's C-statistics, and the calibration was evaluated usi

SUBMITTER: Eom BW 

PROVIDER: S-EPMC4506054 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature