Jiang Q, Hu Y, Ma JH. Various classification methods for diabetes mellitus in the management of blood glucose control. World J Diabetes 2025; 16(5): 103316 [DOI: 10.4239/wjd.v16.i5.103316]
Corresponding Author of This Article
Jian-Hua Ma, MD, Professor, Department of Endocrinology, Nanjing First Hospital, No. 32 Gongqingtuan Road, Nanjing 210000, Jiangsu Province, China. majianhua@china.com
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. May 15, 2025; 16(5): 103316 Published online May 15, 2025. doi: 10.4239/wjd.v16.i5.103316
Various classification methods for diabetes mellitus in the management of blood glucose control
Qing Jiang, Yun Hu, Jian-Hua Ma
Qing Jiang, Department of Endocrinology, The Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China
Yun Hu, Department of Endocrinology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214000, Jiangsu Province, China
Jian-Hua Ma, Department of Endocrinology, Nanjing First Hospital, Nanjing 210000, Jiangsu Province, China
Author contributions: Jiang Q and Hu Y drafted the initial manuscript; Ma JH conceptualized and revised the manuscript.
Conflict-of-interest statement: All the authors have no conflict of interest related to the manuscript.
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: Jian-Hua Ma, MD, Professor, Department of Endocrinology, Nanjing First Hospital, No. 32 Gongqingtuan Road, Nanjing 210000, Jiangsu Province, China. majianhua@china.com
Received: November 28, 2024 Revised: February 23, 2025 Accepted: February 26, 2025 Published online: May 15, 2025 Processing time: 161 Days and 14.4 Hours
Abstract
In the era of precision medicine, the classification of diabetes mellitus has evolved beyond the traditional categories. Various classification methods now account for a multitude of factors, including variations in specific genes, type of β-cell impairment, degree of insulin resistance, and clinical characteristics of metabolic profiles. Improved classification methods enable healthcare providers to formulate blood glucose management strategies more precisely. Applying these updated classification systems, will assist clinicians in further optimising treatment plans, including targeted drug therapies, personalized dietary advice, and specific exercise plans. Ultimately, this will facilitate stricter blood glucose control, minimize the risks of hypoglycaemia and hyperglycaemia, and reduce long-term complications associated with diabetes.
Core Tip: The prevalence of diabetes is increasing, and blood glucose control is of utmost importance. This article explores various diabetes mellitus classification methods, for example, incorporating phenotypic subtypes, genetic subtypes, and soft clustering, and highlights the limitations of traditional classification methods. Updated classification methods can help develop personalised treatment plans, which are important for optimal diabetes management.
