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

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 …

Background Risk scores were mainly proved to predict undiagnosed type 2 diabetes
mellitus (UT2DM) in a non-invasive manner and to guide earlier clinical treatment. The …

Materials and Methods A cross-sectional study was undertaken to evaluate the performance
of Finnish Diabetes Risk Score among adult patients (age> 20 years) attending Outpatient …

Background and purpose Prediction algorithms are increasingly advocated in diabetes
screening strategies, particularly in developing countries. We conducted a systematic review …

Purpose The study was conducted to develop a risk assessment tool to determine the
Turkish population's risk of undiagnosed type 2 diabetes. Methods The study was carried out …

Results The test showed good results both to detect undiagnosed DM2 (ROC-AUC 0.74)
and to predict incident DM2 (ROC-AUC 0.75). The best prediction of risk of incident DM2 …

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 …

ABSTRACT Background and Objectives: Diabetes is a major health problem in turkey as
well as all over the world and its prevalence is increasing. The aim of this study is to …

Background Diabetes risk score can be used as a simple non-invasive screening tool for
identifying people with high risk of diabetes. This study aimed to assess the predictive power …