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2024 World Conference on Lung Cancer (WCLC) - ePos ...
EP.06B.07 CARE: Developing a Clinical Composite Sc ...
EP.06B.07 CARE: Developing a Clinical Composite Score for mNSCLC and Co-Design Solutions to Bridge the Metropolitan vs Regional Gap
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The project "CARE: Developing a Clinical Composite Score for mNSCLC" aims to bridge the survival gap between patients with metastatic non-small cell lung cancer (mNSCLC) residing in metropolitan areas and those in regional/rural areas in Australia. Lung cancer accounts for a significant portion of cancer-related mortality in the country, with notable disparities in 5-year survival rates between urban and rural patients. <br /><br />Key challenges faced by regional patients include greater distances to treatment centers, delays in diagnosis, limited access to optimal imaging, poor treatment adherence, and a lack of clinical trial opportunities. Additionally, mNSCLC varies biologically among patients, differing in factors such as tumor differentiation, histological markers, PD-L1 expression levels, metabolic activity, and metastases presence.<br /><br />The CARE clinical composite score (CCS) seeks to integrate biological tumor variations, patient, and health service factors to aid in prognostication, optimize treatment plans, and identify at-risk patients. By understanding these factors, the CCS aims to guide resource allocation and systemic changes in healthcare.<br /><br />The project involves a retrospective analysis of over 300 lung cancer patients treated at Grampians Health. By analyzing clinical factors (e.g., PD-L1 levels, TTF-1 status), patient factors (e.g., socio-economic status, distance from services), and health service factors, the CCS will be developed to predict outcomes like progression-free and overall survival.<br /><br />The methodology includes statistical analyses to create a score based on significant variables from multivariate regression models. The outcome aims to address issues identified through CCS in regional settings and propose system-level changes with consumer input comprising patients, families, and awareness groups. This collaborative approach is expected to facilitate personalized healthcare and improve outcomes for lung cancer patients in both regional and metropolitan areas, with potential applications in large-scale, multi-center studies.
Asset Subtitle
Dan Stout
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Speaker
Dan Stout
Topic
Pathology and Biomarkers
Keywords
mNSCLC
lung cancer
clinical composite score
survival gap
regional disparities
biological variations
prognostication
healthcare resource allocation
personalized healthcare
multivariate regression
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