Ontology highlight
ABSTRACT: Objectives
This systematic review aims to evaluate externally validated models for individualised prediction of recurrence or survival in adults treated with curative intent for oropharyngeal cancer.Design
Systematic review.Setting
Hospital care.Methods
Systematic searches were conducted up to September 2023 and records were screened independently by at least two reviewers. The Prediction model Risk Of Bias ASsessment Tool was used to assess risk of bias (RoB). Model discrimination measures (c-indices) were presented in forest plots. Clinical and methodological heterogeneity precluded meta-analysis.Results
Fifteen studies developing and/or evaluating 25 individualised risk prediction models were included. The majority (77%) of c-indices for model dev
SUBMITTER: Dretzke J
PROVIDER: S-EPMC11624838 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature