Development and validation of a predictive model for the pathological upgrading of gastric low-grade intraepithelial neoplasia

Figure 4 Nomogram of the least absolute shrinkage and selection operator regression analysis model. An individual patient’s value is located on the axes for each variable, and a line is drawn upward to determine the number of points received for each variable value. The sum of these numbers is located on the total points axis, and a line is drawn downward to the Risk of Pathological Progression axis to determine the risk probability of high-grade intraepithelial neoplasia/cancer. ME: Magnifying endoscopy; MV: Microvascular; MS: Microsurface; HGIN: High-grade intraepithelial neoplasia; Ca: Cancer.