Application of the fibrosis-4 score in a generalised population

doi:10.5528/wjtm.124281

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 12, Issue 3

This Article

(3)

(4)

(0)

(33)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Translational Medicine

ISSN

2220-6132

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Transl Med. Sep 28, 2026; 12(3): 124281
Published online Sep 28, 2026. doi: 10.5528/wjtm.124281

Open in New Tab Full Size Figure Download Figure

Figure 1 Pathway for investigating deranged liver functions tests as per the British Society of Gastroenterology guidelines. ELF: Enhanced Liver Fibrosis score; LFT: Liver functions tests; BMI: Body mass index; FIB-4: Fibrosis-4; US: Ultrasound.

Citation: Conradie HF, Shipman K. Application of the fibrosis-4 score in a generalised population. World J Transl Med 2026; 12(3): 124281
URL: https://www.wjgnet.com/2220-6132/full/v12/i3/124281.htm
DOI: https://dx.doi.org/10.5528/wjtm.124281

Conradie HF, Shipman K. Application of the fibrosis-4 score in a generalised population. World J Transl Med 2026; 12(3): 124281 [DOI: 10.5528/wjtm.124281]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.