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The CASTL trial evaluated efficient combinations of tobacco cessation interventions for smokers undergoing lung cancer screening, identifying loss-framed messaging with nicotine replacement therapy as the most cost-effective strategy.
This review evaluates the impact of integrating risk-prediction models into shared decision-making for lung cancer screening, focusing on clinical implementation strategies that prioritize high-benefit populations.
This review analyzes the MyLungHealth trial, demonstrating how EHR-integrated, patient-facing tools significantly improve lung cancer screening eligibility identification and CT ordering rates compared to clinician-facing support alone.
In HANSE, PLCOm2012 (6‑year risk ≥1.58%) selected more lung cancers and yielded a lower number needed to screen than NELSON criteria, supporting risk-model selection for CT screening programs, with caveats on generalisability and mortality
Lung cancer screening reduces mortality but varies by risk factors, sex, and cancer histology. Analysis of NELSON and NLST trials highlights histology-driven heterogeneity and suggests broader screening criteria may improve outcomes.