Causal predictive modeling of survival of lung and bronchus cancer patients diagnosed during 2010-2011 in Texas.

ABSTRACT:

Background

Lung and Bronchus cancer is the most fatal type of cancer in the United States. According to the American Cancer Society, there were more than 127,000 deaths from lung cancer in 2023. Lung cancer care cost 23.8 billion dollars in 2020. In Texas, only 22.8% of lung cancer patients survived 5 years or more past diagnosis based on 2012-2018 data.

Aim

This study evaluates the survival length of lung and bronchus cancer patients in Texas using advanced statistical and machine learning methods applied to an 11-year cohort study from Surveillance, Epidemiology, and End Results Program. It also quantifies the causal effect of early (localized) versus late (distant) stage at diagnosis on survival time of those patients. Additionally, it explores the influence of demographi

SUBMITTER: Mohamed Z 

PROVIDER: S-EPMC12578144 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature