Early death prediction model for breast cancer with synchronous lung metastases: an analysis of the SEER database.

ABSTRACT:

Background

Breast cancer with lung metastases (BCLM) is a serious condition that often leads to early death. This study aims to screen the risk factors of early death in BCLM patients and establish a simple and accurate nomogram prediction model. Identifying prognostic markers and developing accurate prediction models can help guide clinical decision-making.

Methods

The Surveillance, Epidemiology, and End Results (SEER) database was used to analyze a sizable sample of data, encompassing 4,238 BCLM patients diagnosed between 2010 and 2015. Stepwise regression was used to manage the collinearity of variables and to construct a prediction model based on the histogram. The results were subjected to internal validation and contrasted with those of related investigations.

Resul

SUBMITTER: Li Q 

PROVIDER: S-EPMC11558301 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature