Evaluation of Prognostic and Predictive Models in the Oncology Clinic

M. Craddock, C. Crockett, A. McWilliam, G. Price, M. Sperrin, S.N. van der Veer, C. Faivre-Finn

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)102-113
Number of pages12
JournalClinical Oncology
Volume34
Issue number2
Early online date15 Dec 2021
DOIs
Publication statusPublished - Feb 2022

Keywords

  • Life cycle
  • Model
  • Oncology
  • Personalised
  • Prediction
  • Radiotherapy

Research Beacons, Institutes and Platforms

  • Manchester Cancer Research Centre

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