Potential role of predictive models in assessment of liver inflammation in patients with hepatocellular carcinoma: a two-center cohort study

Our nomogram exhibited good performance for scaling hepatic inflammation (G1 and G4) in HCC, and could be employed as adjunctive diagnostic tools to guide HCC management strategy.

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Publication Details

Journal
European journal of medical research
Published
2024-10-28
DOI
https://doi.org/10.1186/s40001-024-02116-8
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Potential role of predictive models in assessment of liver inflammation in patients with hepatocellular carcinoma: a two-center cohort study

Wei Xu, Bolun Li, Zhanwei Yang, Yu Liu et al.
European journal of medical research
Liver Disease Diagnosis and Treatment
article

Potential role of predictive models in assessment of liver inflammation in patients with hepatocellular carcinoma: a two-center cohort study

Wei Xu, Bolun Li, Zhanwei Yang, Yu Liu, Jingdong Li, Huai Gong
article en

Abstract

Our nomogram exhibited good performance for scaling hepatic inflammation (G1 and G4) in HCC, and could be employed as adjunctive diagnostic tools to guide HCC management strategy.

European journal of medical researchVol. 29(1)
Hunan Normal University (CN), Affiliated Hospital of North Sichuan Medical College (CN), Hunan Provincial People's Hospital (CN)
Education Department of Hunan Province, Health Commission of Hunan Province
Good health and well-being
Openalex Percentile: Top 71%
Liver Disease Diagnosis and Treatment
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Potential role of predictive models in assessment of liver inflammation in patients with hepatocellular carcinoma: a two-center cohort study — Wei Xu, Bolun Li, et al. · European journal of medical research (2024) | TGRS Research Map | TGRS