Effect of comorbidity classes on survival of patients with gastrointestinal tract cancer.

ABSTRACT:

Background

Comorbidities may complicate medical situations and have an impact on the treatment decisions and poor survival of cancer patients. How comorbidities cluster together and ultimately affect patients' outcomes in gastrointestinal tract cancer (GTC) is a poorly understood area.

Methods

In a multicenter prospective observational study from 2012 to 2021, we grouped the comorbidities of patients with GTC by latent class analysis, obtaining two comorbidity classes. Cox regression models were initially used to predict mortality. LASSO techniques were used to reduce the dimension. The final model included the comorbidity classes and nine more predictors. Additionally, the performance of different simple multimorbidity measures were compared using the Bayesian information c

SUBMITTER: Gao L 

PROVIDER: S-EPMC11807313 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature