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Develop and validate a novel online AIHI-nomogram to predict severe liver inflammation in patients with autoimmune hepatitis

Crossref DOI link: https://doi.org/10.1016/j.aohep.2023.101134

Published Print: 2023-11

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Zhang, Zhiyi

Wang, Jian

Wang, Huali

Li, Yiguang

Zhu, Li https://orcid.org/0000-0002-0953-5912
Chen, Yun

Liu, Jiacheng

Liu, Yilin

Chen, Yuxin

Yin, Shengxia

Tong, Xin

Yan, Xiaomin

Yang, Yongfeng

Zhu, Chuanwu

Li, Jie

Qiu, Yuanwang

Huang, Rui

Wu, Chao
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81970545, 82170609)

Natural Science Foundation of Jiangsu Province (BK20211004)

Natural Science Foundation of Shandong Province (ZR2020KH006)

Nanjing University (2021-LCYJ-PY-43, YKK21067)

Medical Science and Technology Development Foundation, Nanjing Municipality Health Bureau (JQX21002, QRX17121)
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Text and Data Mining valid from 2023-11-01

Text and Data Mining valid from 2023-11-01

Version of Record valid from 2023-07-10
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This article is maintained by: Elsevier

Article Title: Develop and validate a novel online AIHI-nomogram to predict severe liver inflammation in patients with autoimmune hepatitis

Journal Title: Annals of Hepatology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aohep.2023.101134

Content Type: article

Copyright: © 2023 Fundación Clínica Médica Sur, A.C. Published by Elsevier España, S.L.U.