Meng T, Huang R, Hu P, et al. - A retrospective data analysis was performed to evaluate the significant prognostic factors and propose new nomograms to facilitate clinical decision-making. Researchers identified a total of 341 individuals and full prognostic variable data were available for 276 patients. Via the Lasso regression and Cox proportional hazards regression model, the predictors for local relapse-free survival and overall survival were distinguished. They assessed discrimination, calibration, and accuracy by the C-index, calibration curve, and receiver operating characteristic curve, respectively. They proposed two nomograms to predict the prognosis on the basis of recurrence- and death-relevant factors based on the multicenter case series of chordoma with a relative long follow-up. These data could be referenced in the clinical decision-making process and give further prognostic information for risk stratification.