Poorthuis MHF, Halliday A, Massa MS, et al. - Researchers performed a systematic review to identify established prediction models for prevalent cases with ≥ 50% asymptomatic carotid stenosis (ACS), and externally validated them using data from 596,469 people who visited commercial vascular screening clinics in the US and UK. Experts found that the best model incorporated age, gender, smoking, hypertension, hypercholesterolemia, diabetes mellitus, vascular and cerebrovascular disease, measured blood pressure, and blood lipids. For this model, an area under the receiver operating characteristic curve of 0.75 was generated for ≥ 50% ACS and 0.78 for ≥ 70% ACS. Based on the findings, it was concluded that a prediction model can afford a reliable selection of people carrying a high risk of significant ACS. The prediction models that displayed the best performance enabled the identification of over one third of all cases via targeted screening of people in the highest decile of risk only.