Literature DB >> 33190216

Risk Prediction of the Diabetes Missing Million: Identifying Individuals at High Risk of Diabetes and Related Complications.

Marc Evans1, Angharad R Morgan2, Dipesh Patel3, Ketan Dhatariya4, Sharlene Greenwood5,6, Philip Newland-Jones7, Debbie Hicks8, Zaheer Yousef9, Jim Moore10, Bethany Kelly11, Sarah Davies12, Umesh Dashora13.   

Abstract

Early diagnosis and effective management of type 2 diabetes (T2D) are crucial in reducing the risk of developing life-changing complications such as heart failure, stroke, kidney disease, blindness and amputation, which are also associated with significant costs for healthcare providers. However, as T2D symptoms often develop slowly it is not uncommon for people to live with T2D for years without being aware of their condition-commonly known as the undiagnosed missing million. By the time a diagnosis is received, many individuals will have already developed serious complications. While the existence of undiagnosed diabetes has long been recognised, wide-reaching awareness among the general public, clinicians and policymakers is lacking, and there is uncertainty in how best to identify high-risk individuals. In this article we have used consensus expert opinion alongside the available evidence, to provide support for the diabetes healthcare community regarding risk prediction of the missing million. Its purpose is to provide awareness of the risk factors for identifying individuals at high, moderate and low risk of T2D and T2D-related complications. The awareness of risk predictors, particularly in primary care, is important, so that appropriate steps can be taken to reduce the clinical and economic burden of T2D and its complications.

Entities:  

Keywords:  Chronic kidney disease; Diabetes-related complications; Heart failure; Risk prediction; Type 2 diabetes

Year:  2020        PMID: 33190216     DOI: 10.1007/s13300-020-00963-2

Source DB:  PubMed          Journal:  Diabetes Ther        ISSN: 1869-6961            Impact factor:   2.945


  3 in total

1.  One Hundred Years of Insulin: Value Beyond Price in Type 2 Diabetes Mellitus.

Authors:  Marc Evans; Angharad R Morgan; Stephen C Bain
Journal:  Diabetes Ther       Date:  2021-04-26       Impact factor: 2.945

2.  In silico functional and pathway analysis of risk genes and SNPs for type 2 diabetes in Asian population.

Authors:  Md Numan Islam; Md Golam Rabby; Md Munnaf Hossen; Md Mostafa Kamal; Md Ashrafuzzaman Zahid; Md Syduzzaman; Md Mahmudul Hasan
Journal:  PLoS One       Date:  2022-08-29       Impact factor: 3.752

Review 3.  Phenotyping the Prediabetic Population-A Closer Look at Intermediate Glucose Status and Cardiovascular Disease.

Authors:  Elena Barbu; Mihaela-Roxana Popescu; Andreea-Catarina Popescu; Serban-Mihai Balanescu
Journal:  Int J Mol Sci       Date:  2021-06-25       Impact factor: 5.923

  3 in total

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