A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies.

ABSTRACT:

Background

Risk-prediction models have been proposed to select individuals for lung cancer screening. However, their long-term effects are uncertain. This study evaluates long-term benefits and harms of risk-based screening compared with current United States Preventive Services Task Force (USPSTF) recommendations.

Methods

Four independent natural history models were used to perform a comparative modeling study evaluating long-term benefits and harms of selecting individuals for lung cancer screening through risk-prediction models. In total, 363 risk-based screening strategies varying by screening starting and stopping age, risk-prediction model used for eligibility (Bach, PLCOm2012, or Lung Cancer Death Risk Assessment Tool [LCDRAT]), and risk threshold were evaluated for a

SUBMITTER: Ten Haaf K 

PROVIDER: S-EPMC7225672 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature