Ontology highlight
ABSTRACT: Background
Several guidelines recommend posttreatment surveillance for non-small cell lung cancer (NSCLC). However, studies evaluating surveillance patterns often cannot distinguish between imaging ordered for surveillance versus for symptoms suggestive of recurrence. Moreover, early recurrences and other competing events hamper efforts to determine true surveillance rates because of wide variability in reported guideline adherence in clinical practice. Leveraging comprehensive Veterans Health Administration data, we developed a novel competing risks framework to describe the patterns and predictors of NSCLC imaging surveillance.Objective
This study aims to examine posttreatment surveillance to estimate the true surveillance rates and predictors of guideline-concordant care
SUBMITTER: Randle RJ
PROVIDER: S-EPMC12488033 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature