Hand-assisted laparoscopic splenectomy is a useful surgical treatment method for patients with excessive splenomegaly: A meta-analysis

doi:10.12998/wjcc.v7.i3.320

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 7, Issue 3

This Article

(335)

(576)

(0)

(17)

(6597)

(10)

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 Clinical Cases

ISSN

2307-8960

Publisher of This Article

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

- Full Article with Cover (PDF)
- Full Article (XML)

Meta-Analysis

World J Clin Cases. Feb 6, 2019; 7(3): 320-334
Published online Feb 6, 2019. doi: 10.12998/wjcc.v7.i3.320

Full Size Figure Download Figure

Figure 2 Forest plots of meta-analysis for pure splenectomy. The BMI (A), blood loss volume (B), time to food intake (C), splenic weight (D), operative time (E), maximum diameter (F), and hospital stay length (G). HALS: Hand-assisted laparoscopic splenectomy; LS: Laparoscopic splenectomy.

Citation: Huang Y, Wang XY, Wang K. Hand-assisted laparoscopic splenectomy is a useful surgical treatment method for patients with excessive splenomegaly: A meta-analysis. World J Clin Cases 2019; 7(3): 320-334
URL: https://www.wjgnet.com/2307-8960/full/v7/i3/320.htm
DOI: https://dx.doi.org/10.12998/wjcc.v7.i3.320

Huang Y, Wang XY, Wang K. Hand-assisted laparoscopic splenectomy is a useful surgical treatment method for patients with excessive splenomegaly: A meta-analysis. World J Clin Cases 2019; 7(3): 320-334 [PMID: 30746373 DOI: 10.12998/wjcc.v7.i3.320]

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.