Multivariable prognostic models for post-hepatectomy liver failure: An updated systematic review
The validation performance of the existing models was substantially lower compared to the development models. All included studies were evaluated as having a high risk of bias, primarily due to issues within the analytical domain. The progression of modeling technology, particularly in artificial intelligence modeling, necessitates the use of suitable quality assessment tools.
Authors
- Xi-Xiang Lin
- Pan Liu (ORCID: https://orcid.org/0000-0001-5392-4934)
- Kunlun He (ORCID: https://orcid.org/0000-0002-3335-5700)
- Miao Zhu (ORCID: https://orcid.org/0000-0002-7947-5230)
- Liyuan Zhang (ORCID: https://orcid.org/0000-0002-1515-223X)
- Junfeng Wang (ORCID: https://orcid.org/0000-0001-5157-5355)
- Xiao Wang (ORCID: https://orcid.org/0000-0002-5837-2996)
- Yong Du (ORCID: https://orcid.org/0000-0003-1687-9024)
- You Zhou (ORCID: https://orcid.org/0000-0001-9250-0982)
Institutions
- Nankai University (CN)
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- World Journal of Hepatology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.4254/wjh.v17.i4.103330
- Citations
- 3
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.06