Ontology highlight
ABSTRACT: Background
Among men and women diagnosed with colorectal cancer (CRC), 20-50% will develop a cancer recurrence. Cancer recurrences are not routinely captured by most population-based registries; however, linkage across Danish registries allows for the development of predictive models to detect recurrence. Successful application of such models in population-based settings requires validation against a gold standard to ensure the accuracy of recurrence identification.Objective
We apply a recently developed validation study design for prospectively collected validation data to validate predicted CRC recurrences against gold standard diagnoses from medical records in an actively followed cohort of CRC patients in Denmark.Methods
We use a Bayesian monitoring framework, t
SUBMITTER: Collin LJ
PROVIDER: S-EPMC7007499 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature