Tailoring the Implementation of New Biomarkers Based on Their Added Predictive Value in Subgroups of Individuals
- van Giessen A.
- Moons K. G. M.
- de Wit G. A.
- Verschuren W. M. M.
- Boer J. M. A.
- Koffijberg H.
DOIAbstract
The value of new biomarkers or imaging tests, when added to a prediction model, is currently evaluated using reclassification measures, such as the net reclassification improvement (NRI). However, these measures only provide an estimate of improved reclassification at population level. We present a straightforward approach to characterize subgroups of reclassified individuals in order to tailor implementation of a new prediction model to individuals expected to benefit from it.In a large Dutch population cohort (n = 21,992) we classified individuals to low (<5%) and high (≥5%) fatal cardiovascular disease risk by the Framingham risk score (FRS) and reclassified them based on the systematic coronary risk evaluation (SCORE). Subsequently, we ...
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