Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination population

This study identified crucial risk factors and constructed a robust NAFLD prediction model suitable for routine physical examination populations, offering clinicians a valuable tool for early disease detection and intervention.

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Publication Details

Journal
BMC Gastroenterology
Published
2025-07-24
DOI
https://doi.org/10.1186/s12876-025-04115-3
Citations
2
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71
Controls
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article

Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination population

Lu Ban, Tak‐Lun Que, Mingming Zhang, Lan Hong et al.
2 citations
BMC Gastroenterology
Liver Disease Diagnosis and Treatment
2.71
article

Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination population

Lu Ban, Tak‐Lun Que, Mingming Zhang, Lan Hong, Jing Lan
article en
2 citations

Abstract

This study identified crucial risk factors and constructed a robust NAFLD prediction model suitable for routine physical examination populations, offering clinicians a valuable tool for early disease detection and intervention.

BMC GastroenterologyVol. 25(1)
The People's Hospital of Guangxi Zhuang Autonomous Region (CN), Guangxi Maternal and Child Health Hospital (CN)
Zero hunger
Openalex Percentile: Top 9%
Liver Disease Diagnosis and Treatment
2.71
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