Lung Cancer Attributable to Environmental Risk Factors

To develop and validate a prediction model for the risk of lung cancer for never- and ever-smokers. The huge database ensured the credibility of the model. Moreover, the covariates selected by the authors were accessible in real-world practice, which augmented the model's functionality. The authors appreciate the valuable contribution of the study that could benefit both never- and ever-smokers. The study demonstrates the possibility of constructing a screening model for lung cancer with an extensive database that considers both accuracy and functionality. The authors also emphasized the growing rate of lung cancer among never-smokers and designed this model to draw the attention of health policymakers. Further analysis and validation through covariates such as air pollution and diet could refine the model and contribute to the health care of people at risk for lung cancer.