The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective

This research is the first to identify a positive relationship between the CUN-BAE Index and MASLD. The CUN-BAE Index appears to be more suitable for early screening of MASLD in females.

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Publication Details

Journal
Lipids in Health and Disease
Published
2024-09-27
DOI
https://doi.org/10.1186/s12944-024-02299-3
Citations
4
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.55

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article

The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective

Guotai Sheng, Guobo Xie, Maobin Kuang, Yang Zou et al.
4 citations
Lipids in Health and Disease
Liver Disease Diagnosis and Treatment
1.55
article

The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective

Guotai Sheng, Guobo Xie, Maobin Kuang, Yang Zou, Shiming He, Chao Wang, Xin Huang
article en
4 citations

Abstract

This research is the first to identify a positive relationship between the CUN-BAE Index and MASLD. The CUN-BAE Index appears to be more suitable for early screening of MASLD in females.

Lipids in Health and DiseaseVol. 23(1)
Jiangxi Provincial Academy of Medical Sciences (CN), First Affiliated Hospital of Jiangxi Medical College (CN), Jiangxi Provincial People's Hospital (CN)
Natural Science Foundation of Jiangxi Province
Gender equality
Openalex Percentile: Top 16%
Liver Disease Diagnosis and Treatment
1.55
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The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective — Guotai Sheng, Guobo Xie, et al. · Lipids in Health and Disease (2024) | TGRS Research Map | TGRS