Population impact of lung cancer screening in the United States: Projections from a microsimulation model.

ABSTRACT:

Background

Previous simulation studies estimating the impacts of lung cancer screening have ignored the changes in smoking prevalence over time in the United States. Our primary rationale was to perform, to our knowledge, the first simulation study that estimates the health outcomes of lung cancer screening with explicit modeling of smoking trends for the whole US population.

Methods/findings

Utilizing a well-validated microsimulation model, we estimated the benefits and harms of an annual low-dose computed tomography screening scenario with a realistic screening adherence rate versus a no-screening scenario for the US population from 2016-2030. The Centers for Medicare and Medicaid Services (CMS) eligibility criteria were applied: age 55-77 years at time of screening, histo

SUBMITTER: Criss SD 

PROVIDER: S-EPMC5802442 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature