Predicting survival in metastatic non-small cell lung cancer patients with poor ECOG-PS: A single-arm prospective study.

ABSTRACT:

Background

Patients with advanced non-small cell lung cancer (NSCLC) are a heterogeneous population with short lifespan. We aimed to develop methods to better differentiate patients whose survival was >90 days.

Methods

We evaluated 83 characteristics of 106 treatment-naïve, stage IV NSCLC patients with Eastern Cooperative Oncology Group Performance Status (ECOG-PS) >1. Automated machine learning was used to select a model and optimize hyperparameters. 100-fold bootstrapping was performed for dimensionality reduction for a second ("lite") model. Performance was measured by C-statistic and accuracy metrics in an out-of-sample validation cohort. The "lite" model was validated on a second independent, prospective cohort (N = 42). Network analysis (NA) was performed to evaluate t

SUBMITTER: Cunha MT 

PROVIDER: S-EPMC9972023 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature