Development and validation of a machine learning-based nomogram for predicting prognosis in lung cancer patients with malignant pleural effusion.

ABSTRACT: Malignant pleural effusion (MPE) is a common complication in patients with advanced lung cancer, significantly impacting their survival rates and quality of life. Effective tools for assessing the prognosis of these patients are urgently needed to enable early intervention. This study retrospectively analyzed patient data from the Affiliated Hospital of North Sichuan Medical College from 2013 to 2021, which served as the training cohort and internal testing cohort. Additionally, three external testing cohorts were introduced: data from Guang'an People's Hospital as cohort 1, data from Dazhou Central Hospital as cohort 2, and data from the Affiliated Hospital of North Sichuan Medical College from January 1, 2023, to December 31, 2023, constituting the temporal external testing cohort. Univa

SUBMITTER: Hu X 

PROVIDER: S-EPMC11926256 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature