Abstract Purpose of Review Overweight and obesity are well-established risk factors for type
2 diabetes. However, a substantial number of individuals develop the disease at …

Objective Cardiometabolic risk prediction algorithms are common in clinical practice. Young
people with psychosis are at high risk for developing cardiometabolic disorders. We aimed …

Objectives This study aimed to provide an overview of prediction models of undiagnosed
type 2 diabetes mellitus (U-T2DM) or the incident T2DM (I-T2DM) using the transparent …

Aims Previous studies indicated that urinary glucose (UG) had a limited efficacy in diabetes
screening. This study was designed to have a re-evaluation of its efficacy, taking into …

Introducción: La diabetes mellitus es una enfermedad crónica con alta prevalencia, que
afecta la calidad de vida de la población que la padece, por cuanto identificar el riesgo de …

Diabetes is a chronic disorder that arises mainly due to unhealthy lifestyles in genetically
susceptible individuals and has affected over 460 million people worldwide. Hence …

A screening model for estimating undiagnosed diabetes mellitus (UDM) is important for early
medical care. There is minimal research and a serious lack of screening models for people …

Background: Throught the world, More than 75% of adults with type 2 diabetes mellitus
(T2DM) live in low and middle-income countries. Amongst which 69.2 million of these adults …

Diabetes affects over 400 million people and is among the leading causes of morbidity
worldwide. Identification of high-risk individuals can support early diagnosis and prevention …

Diabetes mellitus has already grown at an alarming rate throughout the world, making it
essential to build predictive models that assist in controlling the disease. A literature review …