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Dataset Information

Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer.


ABSTRACT:

Importance

Recent insights into the biologic characteristics and treatment of oropharyngeal cancer may help inform improvements in prognostic modeling. A bayesian multistate model incorporates sophisticated statistical techniques to provide individualized predictions of survival and recurrence outcomes for patients with newly diagnosed oropharyngeal cancer.

Objective

To develop a model for individualized survival, locoregional recurrence, and distant metastasis prognostication for patients with newly diagnosed oropharyngeal cancer, incorporating clinical, oncologic, and imaging data.

Design, setting, and participants

In this prognostic study, a data set was used comprising 840 patients with newly diagnosed oropharyngeal cancer treated at a National Cancer Institute-de

SUBMITTER: Beesley LJ 

PROVIDER: S-EPMC8353539 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature