Blood conservation strategies in liver transplantation: Past, present, and future

doi:10.4240/wjgs.v18.i5.119105

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 18, Issue 5

This Article

(29)

(22)

(0)

(382)

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 Gastrointestinal Surgery

ISSN

1948-9366

Publisher of This Article

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

Review

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 Gastrointest Surg. May 27, 2026; 18(5): 119105
Published online May 27, 2026. doi: 10.4240/wjgs.v18.i5.119105

Full Size Figure Download Figure

Figure 2 Algorithm for rotational thromboelastometry guided transfusion. EXTEM: Extrinsic thromboelastometry; FIBTEM: Fibrinogen thromboelastometry; APTEM: Aprotinin thromboelastometry.

Citation: Sarangi S, Sarangi Y. Blood conservation strategies in liver transplantation: Past, present, and future. World J Gastrointest Surg 2026; 18(5): 119105
URL: https://www.wjgnet.com/1948-9366/full/v18/i5/119105.htm
DOI: https://dx.doi.org/10.4240/wjgs.v18.i5.119105

Sarangi S, Sarangi Y. Blood conservation strategies in liver transplantation: Past, present, and future. World J Gastrointest Surg 2026; 18(5): 119105 [DOI: 10.4240/wjgs.v18.i5.119105]

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.