Publication Name	World Journal of Hepatology
Manuscript ID	113348
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Observational Study
Article Title	Predictive tool for evident histological liver injury in chronic hepatitis B patients: Development and validation
Manuscript Source	Unsolicited Manuscript
All Author List	Zhong-Shang Dai, Xin Cao, Yong-Fang Jiang and Bo He
Funding Agency and Grant Number	Funding Agency Grant Number National Key R&D Program of China 2019YFE0190800
Corresponding Author	Bo He, Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, No. 139 Renmin Middle Road, Changsha 410011, Hunan Province, China. hebo2017@csu.edu.cn
Key Words	Chronic hepatitis B; Evident histological liver injury; Predictive model; Performance; Clinical applicability
Core Tip	This study developed and validated a novel nomogram incorporating L59, platelet count, alanine aminotransferase, and aspartate aminotransferase to predict evident histological liver injury (Ishak ≥ 3 or histologic activity index ≥ 9) in chronic hepatitis B patients. The model demonstrated high accuracy (area under the curve 0.921-0.959) and clinical utility, supported by transcriptomic insights implicating COL1A2 and TGF-β/Smad pathways. This tool enables noninvasive risk stratification, optimizing resource allocation and guiding early intervention.
Citation	Dai ZS, Cao X, Jiang YF, He B. Predictive tool for evident histological liver injury in chronic hepatitis B patients: Development and validation. World J Hepatol 2025; In press

Received	2025-08-25 06:12
Peer-Review Started	2025-08-25 06:12
First Decision by Editorial Office Director	2025-09-23 09:52
Return for Revision	2025-09-26 07:50
Revised	2025-10-23 09:05
Publication Fee Transferred	2025-10-28 07:01
Second Decision by Editor	2025-12-23 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2025-12-23 09:05
Articles in Press	2025-12-23 09:05
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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