A predictive nomogram for predicting liver metastasis in early-onset colon cancer: a population-based study.

ABSTRACT:

Background

The risk of liver metastasis (LM) may be estimated using predictive nomograms. While the nomogram has recently been applied in oncology, there are relatively few studies concentrating on predicting LM in patients with early-onset colon cancer. We aimed to identify independent risk factors for LM in patients with early-onset colon cancer and develop a nomogram for predicting the probability of LM in these patients.

Methods

Our study encompassed 4,890 early-onset colon cancer patients with LM who were registered in the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015. These patients were randomly allocated into training and validation cohorts at a ratio of 7:3. Univariate and multivariate logistic regression analyses were conducted to id

SUBMITTER: Zeng W 

PROVIDER: S-EPMC11833359 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature