The influence of postscreening follow-up time and participant characteristics on estimates of overdiagnosis from lung cancer screening trials.

ABSTRACT: We aimed to explore the underlying reasons that estimates of overdiagnosis vary across and within low-dose computed tomography (LDCT) lung cancer screening trials. We conducted a systematic review to identify estimates of overdiagnosis from randomised controlled trials of LDCT screening. We then analysed the association of Ps (the excess incidence of lung cancer as a proportion of screen-detected cases) with postscreening follow-up time using a linear random effects meta-regression model. Separately, we analysed annual Ps estimates from the US National Lung Screening Trial (NLST) and German Lung Cancer Screening Intervention Trial (LUSI) using exponential decay models with asymptotes. We conducted stratified analyses to investigate participant characteristics associated with Ps using the e

SUBMITTER: Li M 

PROVIDER: S-EPMC10157369 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature