Comparison of the accuracy of predictive models in early detection of clinically relevant posthepatectomy liver failure

The integrated model combining lactate and intraoperative factors provides a more accurate prediction of CR-PHLF risk. It outperforms existing models and has significant potential for improving preoperative risk assessment and intraoperative decision-making.

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Publication Details

Journal
BMC Cancer
Published
2025-08-30
DOI
https://doi.org/10.1186/s12885-025-14738-0
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparison of the accuracy of predictive models in early detection of clinically relevant posthepatectomy liver failure

Ying Li, Zunqiang Xiao, Lei Jin, Yulin Gao et al.
BMC Cancer
Liver Disease Diagnosis and Treatment
article

Comparison of the accuracy of predictive models in early detection of clinically relevant posthepatectomy liver failure

Ying Li, Zunqiang Xiao, Lei Jin, Yulin Gao, Yumeng Liu, Yi Lu, Xiaodong Sun, Jun-Wei Liu
article en

Abstract

The integrated model combining lactate and intraoperative factors provides a more accurate prediction of CR-PHLF risk. It outperforms existing models and has significant potential for improving preoperative risk assessment and intraoperative decision-making.

BMC CancerVol. 25(1)
Zhejiang Chinese Medical University (CN), Zhejiang Provincial People's Hospital (CN), Hangzhou Hospital of Traditional Chinese Medicine (CN), Hangzhou Medical College (CN)
Department of Education of Zhejiang Province, Natural Science Foundation of Zhejiang Province
Good health and well-being
Openalex Percentile: Top 69%
Liver Disease Diagnosis and Treatment
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Comparison of the accuracy of predictive models in early detection of clinically relevant posthepatectomy liver failure — Ying Li, Zunqiang Xiao, et al. · BMC Cancer (2025) | TGRS Research Map | TGRS