Survival benefit of primary tumor resection in pancreatic neuroendocrine tumors with unresectable liver metastases: A meta-analysis

doi:10.4240/wjgs.v17.i9.107966

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 9

This Article

(61)

(69)

(0)

(11)

(697)

(2)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials 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

Meta-Analysis

World J Gastrointest Surg. Sep 27, 2025; 17(9): 107966
Published online Sep 27, 2025. doi: 10.4240/wjgs.v17.i9.107966

Full Size Figure Download Figure

Figure 2 Forest plot of hazard ratios for survival comparing primary tumor resection with non-resection treatment in patients with pancreatic neuroendocrine tumor. TE: Total effect; SE: Standard error; CI: Confidence interval.

Citation: Gong J, Gao BJ, Lei ZH. Survival benefit of primary tumor resection in pancreatic neuroendocrine tumors with unresectable liver metastases: A meta-analysis. World J Gastrointest Surg 2025; 17(9): 107966
URL: https://www.wjgnet.com/1948-9366/full/v17/i9/107966.htm
DOI: https://dx.doi.org/10.4240/wjgs.v17.i9.107966

Gong J, Gao BJ, Lei ZH. Survival benefit of primary tumor resection in pancreatic neuroendocrine tumors with unresectable liver metastases: A meta-analysis. World J Gastrointest Surg 2025; 17(9): 107966 [PMID: 41024795 DOI: 10.4240/wjgs.v17.i9.107966]

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.