Risk Prediction Models for Oral Cancer: A Systematic Review.

ABSTRACT: In the last 30 years, there has been an increasing incidence of oral cancer worldwide. Earlier detection of oral cancer has been shown to improve survival rates. However, given the relatively low prevalence of this disease, population-wide screening is likely to be inefficient. Risk prediction models could be used to target screening to those at highest risk or to select individuals for preventative interventions. This review (a) systematically identified published models that predict the development of oral cancer and are suitable for use in the general population and (b) described and compared the identified models, focusing on their development, including risk factors, performance and applicability to risk-stratified screening. A search was carried out in November 2022 in the Medline, E

SUBMITTER: Espressivo A 

PROVIDER: S-EPMC10854942 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature