Title

Prevalence of advanced hepatic fibrosis and non-invasive scores for type 2 diabetics with MASLD: Prospective study in a resource-limited Indian setting

Authors

Srajit Singh^1,*& Janardan Singh²

Affiliation

¹Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India; ²Department of Medicine, Tejkala Hospital, Dholpur, Rajasthan, India; *Corresponding author

Email

Srajit Singh - E-mail: srajitsinghparmar@gmail.com
Janardan Singh - E-mail: drjanardansinghrajput@gmail.com

Article Type

Research Article

Date

Received August 1, 2026; Revised August 31, 2026; Accepted August 31, 2026, Published August 31, 2026

Abstract

Metabolic dysfunction-associated steatotic liver disease is an important cause of chronic liver disease in patients with Type 2 diabetes mellitus, with advanced hepatic fibrosis substantially increasing liver-related morbidity and mortality. Therefore, it is of interest to evaluate the 120 patients with Type 2 diabetes mellitus and metabolic dysfunction-associated steatotic liver disease to determine the prevalence of advanced hepatic fibrosis and assess the diagnostic performance of non-invasive fibrosis scores. Hepatic fibrosis was assessed using transient elastography and compared with the NAFLD Fibrosis Score and Fibrosis-4 index, alongside clinical, biochemical and imaging parameters. The study was designed to assess whether these non-invasive scores can reliably identify advanced hepatic fibrosis in routine diabetic care, particularly where liver biopsy is impractical. Thus, data shows that evaluating accessible non-invasive strategies for identifying advanced hepatic fibrosis in patients with Type 2 Diabetes Mellitus and metabolic dysfunction-associated steatotic liver disease.

Keywords

Metabolic dysfunction-associated steatotic liver disease (MASLD), type 2 diabetes mellitus (T2DM), hepatic fibrosis, fibrosis-4 (FIB-4), NAFLD fibrosis score, non-invasive markers, India

Citation

Singh & Singh, Bioinformation 22(8): 4877-4881 (2026)

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.