Background Various diabetes risk scores composed of non-laboratory parameters have
been developed, but only a few studies performed cross-validation of these scores and a …

Methods This study used the National Health Insurance Service-National Health Screening
Cohort (NHIS-HEALS) of 359,349 people without diabetes at baseline to derive an equation …

Diabet. Med. 29, 107–114 (2012) Abstract Aims Risk scoring methods are effective for
identifying persons at high risk of Type 2 diabetes mellitus, but such approaches have not …

Background Noninvasive risk prediction models have been widely used in various settings
to identify individuals with undiagnosed diabetes. Objectives We aimed to evaluate the …

Abstract Aims/Introduction We developed a self‐assessable Korean Diabetes Risk score
using the data of the Korean Genome and Epidemiology Study. Materials and Methods A …

The study aimed to assess the validity of some recently published diabetes risk scoring
models in a general Chinese population. In 2007, there was a re-examination of 711 …

Background: This study is aimed at developing and evaluating a diabetes risk score (DRS)
to predict incident diabetes and screen for undiagnosed diabetes and abnormal glucose …

The objective of this study is to review the effectiveness and limitations of existing diabetes
risk screening tools to assess the need for further developing of such tools. An electronic …

Background Risk prediction models can help identify individuals at high risk for type 2
diabetes. However, no such model has been applied to clinical practice in eastern China …

Background: Iran needs pragmatic screening methods for identifying those with
undiagnosed type 2 diabetes or at high risk of developing it. The aim of this study was to …