| 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 |
| ORCID |
|
| 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. |
| Publish Date |
2026-05-26 03:52 |
| Citation |
Lin JY, Ai ZX, Luo MJ, Su LZ, Gao XG, Jiang HL, Lin JQ, Zhang HY, Sun YY, Yu HT, Zhang L, Gong X. Liver stiffness-platelet ratio index and machine learning models for the noninvasive diagnosis of significant fibrosis in chronic hepatitis B. World J Hepatol 2026; 18(5): 119798 |
| URL |
https://www.wjgnet.com/1948-5182/full/v18/i5/119798.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v18.i5.119798 |
