Copyright
©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Dec 27, 2025; 17(12): 113844
Published online Dec 27, 2025. doi: 10.4254/wjh.v17.i12.113844
Published online Dec 27, 2025. doi: 10.4254/wjh.v17.i12.113844
Albumin-bilirubin score as a practical tool for prognostication in metabolic-associated steatotic liver disease
Chung-Woo Lee, Department of Family Medicine, Veterans Health Service Medical Center, Seoul 05368, South Korea
Author contributions: Lee CW conceived the study, performed the literature search, analyzed and interpreted the data, drafted the manuscript, and approved the final version for publication.
Conflict-of-interest statement: The author reports no relevant conflicts of interest for 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: Chung-Woo Lee, MD, Director, Department of Family Medicine, Veterans Health Service Medical Center, 625 Dongnam-ro, Gangdong-gu, Seoul 05368, South Korea. cwclee@bohun.or.kr
Received: September 7, 2025
Revised: October 10, 2025
Accepted: December 2, 2025
Published online: December 27, 2025
Processing time: 113 Days and 2.2 Hours
Revised: October 10, 2025
Accepted: December 2, 2025
Published online: December 27, 2025
Processing time: 113 Days and 2.2 Hours
Core Tip
Core Tip: The albumin-bilirubin score is a simple, objective index derived from routine laboratory tests that reflects hepatic functional reserve. In metabolic-associated steatotic liver disease, albumin-bilirubin complements fibrosis-based models by providing functional information that may improve early risk detection and guide referral or monitoring strategies. Its accessibility and cost-effectiveness make it an attractive candidate for integration into clinical workflows and public health frameworks, although further validation and threshold calibration are still needed.