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 language | English |
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Pages (from-to) | 102-113 |
Number of pages | 12 |
Journal | Clinical Oncology |
Volume | 34 |
Issue number | 2 |
Early online date | 15 Dec 2021 |
DOIs | |
Publication status | Published - Feb 2022 |
Keywords
- Life cycle
- Model
- Oncology
- Personalised
- Prediction
- Radiotherapy
Research Beacons, Institutes and Platforms
- Manchester Cancer Research Centre