Use of 1-h post-load plasma glucose concentration to identify individuals at high risk of developing Type 2 diabetes-Reference-Cited by-同舟云学术

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Use of 1-h post-load plasma glucose concentration to identify individuals at high risk of developing Type 2 diabetes

Published:2017-06-18 Issue:7 Volume:34 Page:877-878
ISSN:0742-3071
Container-title:Diabetic Medicine
language:en
Short-container-title:Diabet. Med.

Author:

Jagannathan R.¹,Bergman M.²^ORCID

Affiliation:

1. Hubert Department of Global Health; Rollins School of Public Health, Emory University; Atlanta GA

2. NYU School of Medicine, Department of Medicine, Division of Endocrinology and Metabolism; NYU Langone Diabetes Prevention Program; New York NY USA

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/dme.13370/fullpdf

Reference17 articles.

1. The need for international consensus on prediabetes;Makaroff;Lancet Diabetes Endocrinol,2017

2. Impaired glucose tolerance and impaired fasting glycaemia: the current status on definition and intervention;Unwin;Diabet Med,2002

3. Plasma Glucose Concentration and Prediction of Future Risk of Type 2 Diabetes;Abdul-Ghani;Diabetes Care,2009

4. Modelling of OGTT curve identifies 1 h plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohorts;Alyass;Diabetologia,2015

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1. International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes;Diabetes Research and Clinical Practice;2024-03

2. Football training as a non-pharmacological treatment of the global aging population—A topical review;Frontiers in Aging;2023-02-09

3. Oral glucose tolerance testing at 1 h and 2 h: relationship with glucose and cardiometabolic parameters and agreement for pre-diabetes diagnosis in patients with morbid obesity;Diabetology & Metabolic Syndrome;2022-07-06

4. Waist-to-height ratio and metabolic phenotype compared to the Matsuda index for the prediction of insulin resistance;Scientific Reports;2021-04-15

5. The contribution of unrecognized factors to the diabetes epidemic;Diabetes/Metabolism Research and Reviews;2020-04-02

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