Noninvasive model based on liver and spleen stiffness for predicting clinical decompensation in patients with cirrhosis

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 31, Issue 33

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. Sep 7, 2025; 31(33): 107408
Published online Sep 7, 2025. doi: 10.3748/wjg.v31.i33.107408

Table 5 Parameters used to establish the noninvasive prediction model

CI: Confidence interval; SSM: Spleen stiffness measurement; LSM: Liver stiffness measurement; SLD: Spleen length diameter.

Citation: Yang LB, Gao X, Xu M, Li Y, Dong L, Huang XD, She X, Zhang DY, Zhang QW, Liu CY, Fan ST, Wang Y. Noninvasive model based on liver and spleen stiffness for predicting clinical decompensation in patients with cirrhosis. World J Gastroenterol 2025; 31(33): 107408
URL: https://www.wjgnet.com/1007-9327/full/v31/i33/107408.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i33.107408

Yang LB, Gao X, Xu M, Li Y, Dong L, Huang XD, She X, Zhang DY, Zhang QW, Liu CY, Fan ST, Wang Y. Noninvasive model based on liver and spleen stiffness for predicting clinical decompensation in patients with cirrhosis. World J Gastroenterol 2025; 31(33): 107408 [PMID: 40933462 DOI: 10.3748/wjg.v31.i33.107408]

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.