Association of Cigarette Type With Lung Cancer Incidence and Mortality: Secondary Analysis of the National Lung Screening Trial
Abstract
Association of Cigarette Type With Lung Cancer Incidence and Mortality: Secondary Analysis of the National Lung Screening Trial In response to increasing evidence implicating cigarette smoking as a cause of lung cancer in the 1950s, tobacco manufacturers introduced filtered and “lower-tar” cigarettes to allay consumer concerns, knowing they did not actually reduce health risks. Puncturing ventilation holes of varying sizes and numbers into the filter to dilute inhaled smoke became the optimum way to reduce tar yield.1 Despite these changes, smoking remains responsible for 80% to 90% of lung cancer diagnoses and 5-year survival is 18%, highlighting the importance of prevention.2 Lung cancer screening with low-dose computed tomography has been shown to improve mortality, and tobacco treatment is a required component of effective screening. We investigated the association of filter status, tar level, and menthol flavor with lung cancer outcomes in the National Lung Screening Trial.
How strong is the evidence?
Evidence Hub reads this as a secondary / pooled analysis. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.
Read the paper
Related studies
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
- Toxicity of nanomaterials
- The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies
- Halogen bonding (X‐bonding): A biological perspective
- Biofilm formation at the air–liquid interface by the Pseudomonas fluorescens SBW25 wrinkly spreader requires an acetylated form of cellulose
- Opioid Activation of Toll-Like Receptor 4 Contributes to Drug Reinforcement
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.