A predictive web-based nomogram for the early death of patients with lung adenocarcinoma and bone metastasis: a population-based study.

ABSTRACT:

Objective

To identify risk factors and develop predictive web-based nomograms for the early death of patients with bone metastasis of lung adenocarcinoma (LUAD).

Methods

Patients in the Surveillance, Epidemiology, and End Results database diagnosed with bone metastasis of LUAD between 2010 and 2016 were included and randomly divided into training and validation sets. Early death-related risk factors (survival time ≤7 months) were evaluated by logistic regression. Two predictive nomograms were established and validated by calibration curves, receiver operating characteristic curves, and decision curve analysis.

Results

A total of 9189 patients (56.59%) died from all causes within 7 months of being diagnosed, including 8585 patients (56.67%) who died from cancer-specifi

SUBMITTER: Li Z 

PROVIDER: S-EPMC8489788 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature