Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Jul 15, 2026; 18(7): 120785
Published online Jul 15, 2026. doi: 10.4251/wjgo.120785
Published online Jul 15, 2026. doi: 10.4251/wjgo.120785
Figure 1 Nomogram model for predicting the risk of distant metastasis in patients with gastric adenocarcinoma.
CA19-9: Carbohydrate antigen 19-9; NE: Neutrophils; LY: Lymphocytes.
Figure 2 Receiver operating characteristic curves of the nomogram model for predicting the risk of metastasis in patients with gastric adenocarcinoma.
A: Training set; B: Validation set. ROC: Receiver operating characteristic curves; AUC: Area under the curve.
Figure 3 Calibration curves comparing the predicted risk of metastasis by the nomogram model with the actual incidence in patients with gastric adenocarcinoma.
A: Training set; B: Validation set.
Figure 4
Decision curve analysis of the nomogram model for predicting the risk of metastasis and the actual incidence in patients with gastric adenocarcinoma.
- Citation: Shen YM, Hong XY, Gao HC, Hao QL, Li ZY, Yao ZY, Gao C. Synergistic value of systemic inflammatory and tumor markers in predicting pretreatment distant metastasis of gastric cancer. World J Gastrointest Oncol 2026; 18(7): 120785
- URL: https://www.wjgnet.com/1948-5204/full/v18/i7/120785.htm
- DOI: https://dx.doi.org/10.4251/wjgo.120785