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ABSTRACT: 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. The validity, accuracy, discrimination, predictive ability, and clinical utility of the models were assessed based on the concordance index (C-index), area under the receiver operating characteristics (ROC) curve, time-dependent area under the ROC curve (AUC), Kaplan-Meier s
SUBMITTER: Liu H
PROVIDER: S-EPMC7658496 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature