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Evaluation of Prognostic and Predictive Models in the Oncology Clinic
M Craddock1, C Crockett2, A McWilliam1
1University of Manchester, Radiotherapy Related Research Group, Division of Cancer Sciences, School of Medical Sciences, Manchester, UK.
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.
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