Editorial
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Jun 15, 2025; 16(6): 101173
Published online Jun 15, 2025. doi: 10.4239/wjd.v16.i6.101173
Is there a role for platelet indices in predicting poor glucoregulation in type 2 diabetes mellitus?
Gabriel Araújo Medeiros, Jan B Felinto de Santana, Lenita Zajdenverg, Carlos A Negrato
Gabriel Araújo Medeiros, Carlos A Negrato, Faculdade de Medicina de Bauru, FMBRU-USP, University of Sao Paulo, Bauru 17012-901, Sao Paulo, Brazil
Jan B Felinto de Santana, Nursing Course, Unifacisa University Center, Campina Grande 58411-020, Paraíba, Brazil
Lenita Zajdenverg, Internal Medicine Department, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil
Co-first authors: Gabriel Araújo Medeiros and Jan B Felinto de Santana.
Author contributions: Medeiros GA and de Santana JBF equally conceptualized and drafted the first draft of the editorial; Medeiros GA, de Santana JBF, Negrato CA and Zajdenverg L contributed to the discussion and conception of the manuscript; Medeiros GA and de Santana JBF equally contributed to writing and editing the final draft of the manuscript; All the authors critically revised and approved the final version of the manuscript.
Conflict-of-interest statement: The authors have no conflicts of interest to declare.
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: Gabriel Araújo Medeiros, MD, Researcher, Science Editor, Statistician, Faculdade de Medicina de Bauru, FMBRU-USP, University of Sao Paulo, Alameda Dr. Octávio Pinheiro Brisolla, 9-75-Vila Universitaria, Bauru 17012-901, Sao Paulo, Brazil. gabriel7@usp.br
Received: September 10, 2024
Revised: March 20, 2025
Accepted: April 8, 2025
Published online: June 15, 2025
Processing time: 278 Days and 16 Hours
Abstract

In this editorial, we discuss the recent article by Regassa et al, published in the World Journal of Diabetes, which highlights the potential role of platelet indices (PI) in predicting poor glucoregulation in patients with type 2 diabetes mellitus (T2DM). Given the high morbidity and mortality associated with T2DM, there is a constant need to find new and accessible methods for predicting and treating individuals with this condition. The pathophysiology of T2DM involves systemic inflammation, metabolic dysfunction, and an increased risk of vascular injury, which are commonly associated with the development of microvascular and macrovascular complications, such as cardiovascular diseases and neuropathies. The link between these complications and T2DM requires further elucidation but may be explained by prolonged exposure to high glycemic levels and increased advanced glycation end products. PI might play an important role in determining whether some individuals are prone to poor glucoregulation. Recent evidence encourages the scientific efforts to demonstrate the consistency of this role and its applicability in monitoring glucoregulation, underscoring the importance of the study by Regassa et al.

Keywords: Platelet indices; Platelet count; Type 2 diabetes mellitus; Adult; Glycemic Control; Diabetes complications; Inflammation mediators

Core Tip: This editorial discusses the role of platelet indices (PI) such as platelet count, mean platelet volume, plateletcrit, platelet large cell ratio, and platelet distribution width as potential predictors of poor glucoregulation in type 2 diabetes mellitus (T2DM). Emerging evidence shows that elevated PI levels correlate with inadequate glucoregulation and microvascular complications. Incorporating PI into routine assessments may offer a cost-effective tool for predicting glycemic outcomes in patients with T2DM, especially in resource-limited settings.