Evaluation of prognostic & predictive models in the oncology clinic

Research output: Contribution to journalArticlepeer-review

  • External authors:
  • Matthew Craddock
  • Cathryn B Crockett
  • Gareth Price

Abstract

Predictive and prognostic models hold great potential to support clinical decision making in oncology and could ultimately facilitate a paradigm shift to a more personalised form of treatment. Currently, a large number of models relevant to the field of oncology have been developed, but few have been translated into clinical use and assessment of clinical utility is not considered a routine part of model development. In this narrative review of the clinical evaluation of prediction models in oncology, we propose a high-level process diagram for the life cycle of a clinical model, encompassing model commissioning, clinical implementation and ongoing quality assurance, which aims to bridge the gap between model development and clinical implementation.

Bibliographical metadata

Original languageEnglish
JournalClinical Oncology
Publication statusAccepted/In press - 25 Nov 2021