Construction and validation of a predicted nomogram
gastroesophageal junction adenocarcinoma, adenocarcinoma of the gastroesophageal junction
LIVER METASTASES, GASTROESOPHAGEAL JUNCTION ADENOCARCINOMA, REGRESSION, LIVER METASTASIS, ADENOCARCINOMA OF THE GASTROESOPHAGEAL JUNCTION
Based on the risk factors for liver metastases identified by multivariate logistic regression, we created a nomogram to predict the risk of liver metastases in GEJA patients. (Fig. Nomogram to predict the risk of liver metastases in gastroesophageal junction adenocarcinoma patients. From this nomogram, we can determine the risk of liver metastasis of gastroesophageal junction adenocarcinoma.ROC curves of the nomogram. ROC curves of the nomogram in the training cohort (calibration curves of the nomogram. The calibration curves of the nomogram for gastroesophageal junction adenocarcinoma patients in the training cohort (Evaluation of decision analysis (DCA) curves for nomination charts decision analysis curves (DCA) for patients with adenocarcinoma of the gastroesophageal junction in the training cohort (