A Preoperative Risk Prediction Model for Lymph Node Metastasis of Stage I-III Colon Cancer Patients Aged Under 40: A Population-Based Study

1. Abstract

1.1. Aims: A clinical model to individually predict the risk of lymph node metastasis (LNM) for young colon cancer (CC) patients will be attractive in current clinical practice.
1.2. Methods: 2360 CC patients aged under 40 were extracted from SEER database and randomly divided into development and validation cohort. Risk factors for LNM were identified by using logistic regression model. A weighted scoring system was built according to beta coefficients (β) calculated by logistic regression model. Model discrimination was evaluated by C-statistics, model calibration was evaluated by H-L test and calibration plot.