Lung Cancer Risk Prediction Models for Asian Ever-Smokers.

ABSTRACT:

Introduction

Although lung cancer prediction models are widely used to support risk-based screening, their performance outside Western populations remains uncertain. This study aims to evaluate the performance of 11 existing risk prediction models in multiple Asian populations and to refit prediction models for Asians.

Methods

In a pooled analysis of 186,458 Asian ever-smokers from 19 prospective cohorts, we assessed calibration (expected-to-observed ratio) and discrimination (area under the receiver operating characteristic curve [AUC]) for each model. In addition, we developed the "Shanghai models" to better refine risk models for Asians on the basis of two well-characterized population-based prospective cohorts and externally validated them in other Asian cohorts.

Resu

SUBMITTER: Yang JJ 

PROVIDER: S-EPMC11126207 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature