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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Jun 15, 2025; 16(6): 107006
Published online Jun 15, 2025. doi: 10.4239/wjd.v16.i6.107006
Published online Jun 15, 2025. doi: 10.4239/wjd.v16.i6.107006
Future of diabetic foot risk: Unveiling predictive continuous glucose monitoring biomarkers
Haewon Byeon, Worker's Care & Digital Health Lab, Department of Future Technology, Korea University of Technology and Education, Cheonan 31253, South Korea
Author contributions: Byeon H designed the study, involved in data interpretation, and developed methodology.
Supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, No. NRF-RS-2023-00237287.
Conflict-of-interest statement: No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article.
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/
Corresponding author: Haewon Byeon, PhD, Associate Professor, Director, Worker's Care & Digital Health Lab, Department of Future Technology, Korea University of Technology and Education, 1600 Chungjeol-ro, Cheonan 31253, South Korea. bhwpuma@naver.com
Received: March 13, 2025
Revised: April 1, 2025
Accepted: April 10, 2025
Published online: June 15, 2025
Processing time: 92 Days and 23.9 Hours
Revised: April 1, 2025
Accepted: April 10, 2025
Published online: June 15, 2025
Processing time: 92 Days and 23.9 Hours
Core Tip
Core Tip: Geng et al's study underscores the predictive power of continuous glucose monitoring (CGM) metrics, particularly the glycemic risk index, for diabetic foot risk in type 2 diabetes mellitus, surpassing traditional glycated hemoglobin A1c measures. The study calls for future research to validate these findings and explore CGM's role in clinical practice.