2024 World Conference on Lung Cancer (WCLC) - ePosters-EP.17B.06 Survival by Ethnicity and Socioeconomic Status in Patients Diagnosed with Lung Cancer: A 11-year Single Centre Experience

EP.17B.06 Survival by Ethnicity and Socioeconomic Status in Patients Diagnosed with Lung Cancer: A 11-year Single Centre Experience

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The study from The Christie NHS Foundation Trust and the University of Manchester examines the impact of ethnicity and socioeconomic status on the survival of lung cancer patients over an 11-year period. Focusing on non-small cell lung cancer (NSCLC) patients treated at a single UK center between 2013 and 2023, the research involved 8,260 participants. Survival was analyzed using clinical data, categorized by ethnicity and socioeconomic status using the Index of Multiple Deprivations (IMD).<br /><br />Key findings reveal that there is no strong evidence linking social deprivation, ethnicity, or age at diagnosis to overall survival. However, the study indicates that females, patients with good performance status, those diagnosed in early cancer stages, and those receiving curative-intent treatment exhibited significantly better survival rates. The methodology included Kaplan-Meier survival statistics and Cox regression models to understand hazard ratios (HR) and confidence intervals (CIs).<br /><br />A significant limitation is the incomplete ethnicity data for approximately 50% of patients, which affects the study's conclusiveness and representativeness. Hence, local efforts to enhance data capture and completeness are necessary to validate and strengthen future analyses.<br /><br />In conclusion, while the findings highlight certain demographics and clinical factors that influence lung cancer survival positively, they stress the need for comprehensive data collection and further research to explore the nuanced impacts of ethnicity and socioeconomic status. This underscores the complexity of assessing cancer survival outcomes and the importance of integrating comprehensive datasets to uncover potential disparities and improve patient care strategies.

Asset Subtitle

Ashley Horne

Meta Tag

Speaker Ashley Horne

Topic Global Health, Health Services, and Health Economics

Keywords

lung cancer

ethnicity

socioeconomic status

survival rates

non-small cell lung cancer

clinical data

Kaplan-Meier statistics

Cox regression models

data completeness

patient care strategies