Comparative efficacy of bowel preparation strategies in colorectal surgery: A network meta-analysis of randomized controlled trials

doi:10.4240/wjgs.124318

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 18, Issue 11

This Article

(0)

(38)

Peer-Review Report of This Article

Supplementary Materials 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

Meta-Analysis

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. Nov 27, 2026; 18(11): 124318
Published online Nov 27, 2026. doi: 10.4240/wjgs.124318

Full Size Figure Download Figure

Figure 2 Quality assessment results. A: Risk of bias assessment for each included study; B: Overall risk of bias summary across the included studies.

Citation: AbuZarifa M, Hijazy M, Alnajjar AZ, Abdelsalam OK, Ajjur A, Abusalah MA, AbuJlambo A, AbuZarifa MB, AbuZarifa O, Ayesh H. Comparative efficacy of bowel preparation strategies in colorectal surgery: A network meta-analysis of randomized controlled trials. World J Gastrointest Surg 2026; 18(11): 124318
URL: https://www.wjgnet.com/1948-9366/full/v18/i11/124318.htm
DOI: https://dx.doi.org/10.4240/wjgs.124318

AbuZarifa M, Hijazy M, Alnajjar AZ, Abdelsalam OK, Ajjur A, Abusalah MA, AbuJlambo A, AbuZarifa MB, AbuZarifa O, Ayesh H. Comparative efficacy of bowel preparation strategies in colorectal surgery: A network meta-analysis of randomized controlled trials. World J Gastrointest Surg 2026; 18(11): 124318 [DOI: 10.4240/wjgs.124318]

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.