Gender Differences in Lung Cancer Screening in NLST Data: A Comparative Analysis
Objective: The objective of this study is to analyze gender differences in lung cancer screening utilization, adherence to screening guidelines, and outcomes in the NLST data.
Methodology: This study will be a secondary data analysis of the NLST data. The study will include individuals aged 55 to 74 years who underwent LDCT screening between 2002 and 2009. The study will collect data on demographic characteristics, smoking history, lung cancer screening utilization, and outcomes. The primary outcomes will be the detection rates of lung cancer and the mortality rates due to lung cancer in men and women.
Data Analysis: Descriptive statistics will be used to summarize the data. Chi-square tests will be used to compare differences in lung cancer screening utilization and adherence to screening guidelines between men and women. Multivariate logistic regression analysis will be used to identify factors associated with the detection of lung cancer and the mortality rates due to lung cancer in men and women.
Expected Outcomes: The study is expected to provide insights into gender differences in lung cancer screening in the NLST data. The findings of the study may inform screening guidelines and policies and improve screening strategies for lung cancer in both men and women.
Conclusion: This study will contribute to the body of knowledge on gender differences in lung cancer screening in the NLST data. The findings of the study may have implications for the implementation of LDCT screening programs for lung cancer and may help reduce lung cancer-related mortality in both men and women.
Objective: The objective of this study is to analyze gender differences in lung cancer screening utilization, adherence to screening guidelines, and outcomes in the NLST data.
Methodology: This study will be a secondary data analysis of the NLST data. The study will include individuals aged 55 to 74 years who underwent LDCT screening between 2002 and 2009. The study will collect data on demographic characteristics, smoking history, lung cancer screening utilization, and outcomes. The primary outcomes will be the detection rates of lung cancer and the mortality rates due to lung cancer in men and women.
Data Analysis: Descriptive statistics will be used to summarize the data. Chi-square tests will be used to compare differences in lung cancer screening utilization and adherence to screening guidelines between men and women. Multivariate logistic regression analysis will be used to identify factors associated with the detection of lung cancer and the mortality rates due to lung cancer in men and women.
Expected Outcomes: The study is expected to provide insights into gender differences in lung cancer screening in the NLST data. The findings of the study may inform screening guidelines and policies and improve screening strategies for lung cancer in both men and women.
Nasser Altorki Weill Cornell Medicine
Amr Rizk Weill Cornell Medicine