Objective: To develop a new nomogram tool for predicting survival in middle-aged and elderly patients with rectal adenocarcinoma.
Methods: A total of 6,116 patients were randomly assigned in a 7:3 ratio to training and validation cohorts. Univariate and multivariate Cox proportional hazards regression analyses were used to identify independent prognostic factors associated with overall survival (OS) and cancer-specific survival (CSS) in the training set, and two nomogram prognostic models were constructed.