Background: We evaluated how diabetic patients understand and respond to the
presentation of personalized risk information. Methods: This was a mixed methods study …

OBJECTIVE—To assess personal risk perceptions for developing diabetes among
practicing physicians. RESEARCH DESIGN AND METHODS—Little is known about …

Objective To identify the proportion of individuals with an accurate perception of their risk of
type 2 diabetes (T2D) prior to, immediately after and eight weeks after receiving a …

Background This systematic review describes approaches to measuring perceived risk of
developing type 2 diabetes among individuals without diagnoses and describes the use of …

OBJECTIVE: We examined the accuracy of type 2 diabetes (T2D) patients' risk estimates of
developing coronary heart disease (CHD)/having a stroke as a consequence of diabetes …

Patients with type 2 diabetes mellitus (DM) are at increased risk for cardiovascular disease
(CVD), and many patients are inadequately treated for risk factors such as hyperglycemia …

Background: Predictive models are increasingly used in guidelines and informed decision-
making interventions. We compared predictions from 2 prominent models for diabetes: the …

OBJECTIVE To develop a pen-and-paper coronary heart disease (CHD) 10-year risk
estimator for patients with type 2 diabetes based on the United Kingdom Prospective …

Background The promise of precision medicine could be stymied if people do not accept the
legitimacy of personalized risk information. We tested 4 explanations for skepticism of …

Electronic health records and computational modelling have paved the way for the
development of Type 2 Diabetes risk scores to identify subjects at high risk. Unfortunately …