Construction, validation, and clinical usefulness of the nomogram
REGRESSION
Univariate and multivariate logistic regression analyses were utilized to find the independent factors in predicting LNM and the minimum Akaike’s information criterion (AIC) was performed to choose the optimal model parameters and construct a nomogram for evaluating the risk of LNM. The predictors include age at diagnosis, race, primary site, grade, histology, and 