Publication Name	World Journal of Hepatology
Manuscript ID	119798
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Liver stiffness-platelet ratio index and machine learning models for the noninvasive diagnosis of significant fibrosis in chronic hepatitis B
Manuscript Source	Unsolicited Manuscript
All Author List	Jun-Yi Lin, Zao-Xiu Ai, Man-Jin Luo, Li-Zhen Su, Xin-Gen Gao, Hua-Li Jiang, Ju-Qiang Lin, Hong-Yi Zhang, Ying-Ying Sun, Hong-Tao Yu, Li Zhang and Xianqiong Gong
Funding Agency and Grant Number	Funding Agency Grant Number Fujian Provincial Health Technology Project No. 2022GGB020 Xiamen Science and Technology Program No. 3502Z20224020 Traditional Chinese Medicine Foundation of Xiamen No. XWZY-2023-0610 Xiamen Science and Technology Major Project No. 3502Z202374113 Natural Science Foundation of Fujian Province No. 2023J011456 and No. 2023J05084 Natural Science Foundation of Xiamen No. 3502Z202373057
Corresponding Author	Xianqiong Gong, Chief Physician, Department of Hepatology and Infectious Disease, Zhongshan Hospital of Xiamen University, No. 201-209 Hubin South Road, Siming District, Xiamen 361000, Fujian Province, China. xianqiong-gong@hotmail.com
Key Words	Liver platelet ratio index; Significant fibrosis; Chronic hepatitis B; Machine learning; Noninvasive diagnosis
Core Tip	In this biopsy-based retrospective study of 1098 treatment-naïve patients with chronic hepatitis B, a liver stiffness-platelet ratio index, derived from transient elastography and platelet count, showed strong performance in identifying significant fibrosis (S2-S4) relative to conventional noninvasive scores. Liver stiffness-platelet ratio index also provided incremental value in selected machine learning and deep learning models and demonstrated a net benefit in decision curve analysis, supporting its use as a practical first-line triage tool when liver stiffness measurement and platelet count are routinely available.
Citation	Lin JY, Ai ZX, Luo MJ, Su LZ, Gao XG, Jiang HL, Lin JQ, Zhang HY, Sun YY, Yu HT, Zhang L, Gong XQ. Liver stiffness-platelet ratio index and machine learning models for the noninvasive diagnosis of significant fibrosis in chronic hepatitis B. World J Hepatol 2026; In press

Received	2026-02-06 01:55
Peer-Review Started	2026-02-06 01:57
First Decision by Editorial Office Director	2026-02-13 08:32
Return for Revision	2026-02-13 13:41
Revised	2026-02-23 07:32
Publication Fee Transferred	2026-02-25 10:12
Second Decision by Editor	2026-04-16 02:35
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-04-16 08:24
Articles in Press	2026-04-16 08:24
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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