Early death incidence and prediction in stage IV large cell neuroendocrine carcinoma of the lung.

ABSTRACT: Nearly half of lung large cell neuroendocrine carcinoma (LCNEC) patients are diagnosed at an advanced stage and face a high early death risk. Our objective was to develop models for assessing early death risk in stage IV LCNEC patients. We used surveillance, epidemiology, and end results (SEER) databases to gather data on patients with stage IV LCNEC to construct models and conduct internal validation. Additionally, we collected a dataset from the Second Affiliated Hospital of Nanchang University for external validation. We used the Pearson correlation coefficient and variance inflation factor to identify collinearity among variables. Logistic regression analysis and least absolute shrinkage and selection operator analysis were employed to identify important independent prognostic factors.

SUBMITTER: Xing H 

PROVIDER: S-EPMC11404970 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature