The nomograms to predict early death among metastatic small-cell lung cancer patients: a retrospective study based on SEER database.

ABSTRACT:

Background

This study aims to discriminate risk factors associated with early death (died within 3 months) in metastatic small-cell lung cancer (SCLC) patients, and construct predictive nomograms to help physicians in guiding individual treatment.

Methods

Surveillance, Epidemiology, and End Results (SEER) database was used to obtain records of deceased metastatic SCLC patients. The univariate and multivariate logistic regression methods were managed to identify risk factors for early death in overall patients and chemotherapy recipients. Predictive nomograms were developed and then validated by receiver operating characteristics curve (ROC) and calibration plots to verify its' precision.

Results

A total of 13,229 patients were collected of which 5,832 of them encounte

SUBMITTER: Hai T 

PROVIDER: S-EPMC9372205 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature