Real-world predictive model for immune checkpoint inhibitor-induced hepatitis using baseline cytotoxic T-lymphocyte counts

doi:10.3748/wjg.121501

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World Journal of Gastroenterology

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1007-9327

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

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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 Gastroenterol. Dec 21, 2026; 32(47): 121501
Published online Dec 21, 2026. doi: 10.3748/wjg.121501

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Figure 2 Nomogram for predicting immune-mediated hepatitis risk and its receiver operating characteristic curve. A: Nomogram model for predicting immune-mediated hepatitis risk in immune checkpoint inhibitors patients; B: The receiver operating characteristic curve for the nomogram model. ALT: Alanine transaminase; C4: Complement 4; CD: Cluster of differentiation.

Citation: Peng WT, Yang FL, Peng SF, Fu L. Real-world predictive model for immune checkpoint inhibitor-induced hepatitis using baseline cytotoxic T-lymphocyte counts. World J Gastroenterol 2026; 32(47): 121501
URL: https://www.wjgnet.com/1007-9327/full/v32/i47/121501.htm
DOI: https://dx.doi.org/10.3748/wjg.121501

Peng WT, Yang FL, Peng SF, Fu L. Real-world predictive model for immune checkpoint inhibitor-induced hepatitis using baseline cytotoxic T-lymphocyte counts. World J Gastroenterol 2026; 32(47): 121501 [DOI: 10.3748/wjg.121501]

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