Evaluation of prognostic & predictive models in the oncology clinic

Matthew Craddock, Cathryn B Crockett, Alan Mcwilliam, Gareth Price, Matthew Sperrin, Sabine van der Veer, Corinne Faivre-Finn

Research output: Contribution to journalArticlepeer-review


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


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