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Dataset Information

Development and validation of a survival prediction model for 113,239 patients with colon cancer: a retrospective cohort study.


ABSTRACT:

Background

Colon cancer (CC) is the third most commonly diagnosed malignant tumor and remains the second leading cause of cancer-related deaths worldwide. However, the risk assessment of poor prognosis of CC is limited in previous studies. This study aimed to develop a predictive nomogram for the survival of CC patients.

Methods

In this retrospective cohort study, 113,239 CC patients from the Surveillance, Epidemiology, and End Results (SEER) database were randomly divided into training (n=56,619) and testing (n=56,620) sets with a ratio of 1:1. Demographic, clinical data and survival status of patients were extracted. The outcomes were 3- and 5-year survival of CC. Univariate and multivariate Cox regression analyses were used to screen the predictors to develop the predicti

SUBMITTER: Li Y 

PROVIDER: S-EPMC9660070 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature