Evaluating eight smoking metrics for modelling survival in non-small cell lung cancer - PubMed
5 hours ago
- #smoking metrics
- #survival analysis
- #lung cancer
- Study evaluates eight smoking metrics for modeling survival in non-small cell lung cancer (NSCLC).
- Metrics include cigarettes-per-day, smoking duration, pack-years, square-root pack-years, logcig-years, comprehensive smoking index, age-of-initiation, and years-since-quit.
- Retrospective pooled analysis of 25 studies with 28,702 lung cancer patients (median age 64, 53% male).
- Logcig-years showed the highest adjusted hazard ratio (aHR 1.11) and best linear goodness-of-fit for overall survival (OS).
- Square-root pack-years had a similar effect size (aHR 1.11) and strong linear relationship.
- Logcig-years also performed best for lung cancer-specific survival (LCSS) (aHR 1.09).
- Results were consistent across subgroups (age, sex, stage, histology).
- Logcig-years recommended for clinical and research applications in quantifying smoking exposure for lung cancer.