BPG is committed to discovery and dissemination of knowledge
Letter to the Editor
©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Jan 27, 2025; 17(1): 103409
Published online Jan 27, 2025. doi: 10.4254/wjh.v17.i1.103409
High metabolic dysfunction-associated steatotic liver disease prevalence in type 2 diabetes: Urgent need for integrated screening and lifestyle intervention
Bo-Tao Xu, Kai Wang, Lei-Yang Jin
Lei-Yang Jin, Kai Wang, Department of Hepatobiliary Surgery, Zhuji People’s Hospital, Zhuji 311800, Zhejiang Province, China
Bo-Tao Xu, Department of Cardiothoracic Surgery, Zhuji People’s Hospital, Zhuji 311800, Zhejiang Province, China
Author contributions: Jin LY contributed to conceptualized, designed the study and created the artwork; Wang K contributed to data curation and formal Analysis; Xu BT conducted the literature review, performed the data analysis and interpretation, and reviewed and edited the final manuscript.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Corresponding author: Lei-Yang Jin, MD, Assistant Professor, Department of Hepatobiliary Surgery, Zhuji People’s Hospital, No. 9 Jianmin Road, Taozhu Street, Zhuji 311800, Zhejiang Province, China. 15968561792@163.com
Received: November 18, 2024
Revised: December 15, 2024
Accepted: December 18, 2024
Published online: January 27, 2025
Processing time: 49 Days and 2.3 Hours
Core Tip

Core Tip: The high prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) in newly diagnosed type 2 diabetes mellitus patients emphasizes the importance of regular liver health assessments in diabetes care. Screening should include liver function tests and ultrasound imaging for early detection. Dietary changes, such as reducing saturated fat, along with lifestyle interventions, can improve liver health. Educating patients on monitoring body mass index and waist circumference promotes proactive health management. A region-specific MASLD risk model could enhance screening accuracy, while further research into genetic and environmental factors may reveal the disease’s mechanisms and guide prevention strategies.