Ontology highlight
ABSTRACT: Importance
Standard cancer prognosis models typically do not include much specificity in characterizing competing illnesses or general health status when providing prognosis estimates, limiting their utility for individuals, who must consider their cancer in the context of their overall health. This is especially true for patients with oral cancer, who frequently have competing illnesses.Objective
To describe a statistical framework and accompanying new publicly available calculator that provides personalized estimates of the probability of a patient surviving or dying from cancer or other causes, using oral cancer as the first data set.Design, setting, and participants
The models used data from the Surveillance, Epidemiology, and End Results (SEER) 18 registry (200
SUBMITTER: Davies L
PROVIDER: S-EPMC10334297 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature