Evaluating eight smoking metrics for modelling survival in non-small cell lung cancer

20260 citationsJournal Articlehybrid Open Access

Authors

Andrew CL Lam · University of Toronto

Yao Ting Li · University of Toronto

M.Catherine Brown · University Health Network

Yangqing Deng · University Health Network

Katrina Hueniken · University Health Network

Natasha B. Leighl · University Health Network

Frances A. Shepherd ·

Abstract

Logcig-years best modelled the relationship between smoking exposure and OS as well as LCSS, and had consistent associations across clinicodemographic subgroups. Logcig-years should be considered in clinical and research applications for quantifying smoking exposure in lung cancer.

Topics & Keywords

Lung Cancer Treatments and Mutations Lung Cancer Diagnosis and Treatment Lung Cancer Research Studies

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Cancer Epidemiology

Volume 102, pp. 103052-103052

DOI: 10.1016/j.canep.2026.103052

Field-Weighted Citation Impact: 0.00