Individuals with diabetes face higher risks for macro-and microvascular complications than
their non-diabetic counterparts. The concept of precision medicine in diabetes aims to …

Aims To identify all cardiovascular disease risk prediction models developed in patients with
type 2 diabetes or in the general population with diabetes as a covariate updating previous …

Background Precision medicine has the potential to improve cardiovascular disease (CVD)
risk prediction in individuals with Type 2 diabetes (T2D). Methods We conducted a …

Introduction Patients with diabetes mellitus are risk of premature death. In this study, we
developed a machine learning-driven predictive risk model for all-cause mortality among …

Background The prevalence of diabetes has risen sharply in China. Improving modifiable
risk factors such as glycaemia and blood pressure could substantially reduce disease …

We investigate the marginal value of information in the context of health signals that people
receive after checkups. Although underlying health status is similar for individuals just below …

Aims To validate cardiovascular risk prediction models for individuals with diabetes using
the UK Biobank in order to assess their applicability. Methods We externally validated 19 …

Background All‐cause mortality risk prediction models for patients with type 2 diabetes
mellitus (T2DM) in mainland China have not been established. This study aimed to fill this …

Aims We aimed to explore the associations between urine albumin-to-creatinine ratio
(uACR) and cardia-cerebrovascular disease (CVD) in Chinese population with type 2 …

Background Existing predictive outcomes models for type 2 diabetes developed and
validated in historical European populations may not be applicable for East Asian …