Background Clinical prediction models are often not evaluated properly in specific settings
or updated, for instance, with information from new markers. These key steps are needed …

Abstract Background The Framingham risk models and pooled cohort equations (PCE) are
widely used and advocated in guidelines for predicting 10-year risk of developing coronary …

Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or
prognosis in healthcare. Hundreds of prediction models are published in the medical …

Although fasting is increasingly applied for disease prevention and treatment, consensus on
terminology is lacking. Using Delphi methodology, an international, multidisciplinary panel …

Background and purpose A comprehensive individual toxicity risk profile is needed to
improve radiation treatment optimisation, minimising toxicity burden, in head and neck …

Clinical prediction models (CPMs) have become fundamental for risk stratification across
healthcare. The CPM pipeline (development, validation, deployment, and impact …

Image-based prediction models for disease detection are sensitive to changes in data
acquisition such as the replacement of scanner hardware or updates to the image …

Abstract Model calibration, critical to the success and safety of clinical prediction models,
deteriorates over time in response to the dynamic nature of clinical environments. To support …

In the Netherlands, the model-based approach is used to identify patients with head and
neck cancer who may benefit most from proton therapy in terms of prevention of late …

Objective Clinical prediction models require updating as performance deteriorates over time.
We developed a testing procedure to select updating methods that minimizes overfitting …