Evaluation of Prognostic and Predictive Models in the Oncology Clinic

Clin Oncol (R Coll Radiol). 2022 Feb;34(2):102-113. doi: 10.1016/j.clon.2021.11.022. Epub 2021 Dec 23.

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. While a large number of models relevant to the field of oncology have been developed, few have been translated into clinical use and assessment of clinical utility is not currently 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.

Keywords: Life cycle; Model; Oncology; Personalised; Prediction; Radiotherapy.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Clinical Decision-Making*
  • Humans
  • Medical Oncology*
  • Prognosis