Development of a prognostic model for patients with extensive-stage small cell lung cancer undergoing immunotherapy and chemotherapy.

ABSTRACT:

Purpose

In this study, we aimed to develop a predictive model for patients receiving chemotherapy and immunotherapy for extensive-stage small cell lung cancer.

Methods

We retrospectively analyzed 112 extensive-stage small cell lung cancer patients treated with first-line immunotherapy and chemotherapy. The relevant clinical data were collected to evaluate the changes during the treatment. The best subset regression, univariate analysis, and LASSO regression with cross-validation were applied for variable selection and model establishment. The nomograms for 1- and 2-year survival probabilities were established, and the calibration curve was utilized to evaluate the correspondence between actual and predicted survival. The model prediction capacity was assessed using decision

SUBMITTER: Gao Y 

PROVIDER: S-EPMC11926142 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature