Predictors of one-year adverse outcomes after laparoscopic resection for hepatocellular carcinoma: Development and validation of an early-warning model

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 32, Issue 6

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 Gastroenterology

ISSN

1007-9327

Publisher of This Article

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

Retrospective Study

World J Gastroenterol. Feb 14, 2026; 32(6): 113195
Published online Feb 14, 2026. doi: 10.3748/wjg.v32.i6.113195

Table 4 Calculation of patient score

Variable	Patient 1	Patient 2
WBC (× 10⁹/L)	9.52	5.5
Tumor diameter	< 5 cm	≥ 5 cm
Vascular invasion	Yes	No
Portal vein infiltration	Yes	No
Cirrhosis	Yes	Yes
AFP	≥ 400 μg/L	< 400 μg/L
Total score	418	268
Probability of poor prognosis	100%	32.5%

WBC: White blood cell; AFP: Alpha-fetoprotein.

Citation: Feng W, Ye QW, Wang QL, Chen SY, Ma Y, Meng FL. Predictors of one-year adverse outcomes after laparoscopic resection for hepatocellular carcinoma: Development and validation of an early-warning model. World J Gastroenterol 2026; 32(6): 113195
URL: https://www.wjgnet.com/1007-9327/full/v32/i6/113195.htm
DOI: https://dx.doi.org/10.3748/wjg.v32.i6.113195

Feng W, Ye QW, Wang QL, Chen SY, Ma Y, Meng FL. Predictors of one-year adverse outcomes after laparoscopic resection for hepatocellular carcinoma: Development and validation of an early-warning model. World J Gastroenterol 2026; 32(6): 113195 [PMID: 41695284 DOI: 10.3748/wjg.v32.i6.113195]

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.