Unknown

Dataset Information

Development and validation of prediction models for the prognosis of colon cancer with lung metastases: a population-based cohort study.


ABSTRACT:

Background

Current studies on the establishment of prognostic models for colon cancer with lung metastasis (CCLM) were lacking. This study aimed to construct and validate prediction models of overall survival (OS) and cancer-specific survival (CSS) probability in CCLM patients.

Method

Data on 1,284 patients with CCLM were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly assigned with 7:3 (stratified by survival time) to a development set and a validation set on the basis of computer-calculated random numbers. After screening the predictors by the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression, the suitable predictors were entered into Cox proportional hazard models to build predict

SUBMITTER: Ma Z 

PROVIDER: S-EPMC10424923 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature