ISSN |
1948-9358 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Endocrinology & Metabolism |
Manuscript Type |
Prospective Study |
Article Title |
Clinical utility of glycated albumin and 1,5-anhydroglucitol in the screening and prediction of diabetes: A multi-center study
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Kam-Ching Ku, Junda Zhong, Erfei Song, Carol Ho-Yi Fong, Karen Siu-Ling Lam, Aimin Xu, Chi-Ho Lee and Chloe Yu-Yan Cheung |
ORCID |
|
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Hong Kong Research Grants Council Area of Excellence |
AoE/M/707-18 |
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Corresponding Author |
Chloe Yu-Yan Cheung, PhD, Department of Medicine, University of Hong Kong, No. 21 Sassoon Road, Pokfulam, Hong Kong 999077, China. cyy0219@hku.hk |
Key Words |
Diabetes; Biomarkers; Prediction; Glycated albumin; 1,5-anhydroglucitol |
Core Tip |
This study provides supporting evidence on the effectiveness of glycated albumin (GA) in identifying diabetes and monitoring glycemic control among morbidly-obese individuals. It also highlights the potential clinical utility of the simple ‘B3A’ model, which comprises body mass index, glycated hemoglobin, GA and 1,5-anhydroglucitol (1,5-AG), for predicting diabetes in a community-based cohort. Our findings suggest that both GA and 1,5-AG could serve as supplementary biomarkers, potentially replacing the conventional clinical indicators to predict diabetes. The ‘B3A’ model requires only a single tube of blood sample and simple non-invasive body measurements, making it especially useful for large-scale population screening. |
Publish Date |
2025-02-28 10:47 |
Citation |
<p>Ku KC, Zhong J, Song E, Fong CHY, Lam KSL, Xu A, Lee CH, Cheung CYY. Clinical utility of glycated albumin and 1,5-anhydroglucitol in the screening and prediction of diabetes: A multi-center study. <i>World J Diabetes</i> 2025; 16(4): 102867</p> |
URL |
https://www.wjgnet.com/1948-9358/full/v16/i4/102867.htm |
DOI |
https://dx.doi.org/10.4239/wjd.v16.i4.102867 |