Development and validation of a non-invasive model for predicting significant fibrosis based on patients with nonalcoholic fatty liver disease in the United States

Development and validation of a non-invasive model for predicting significant fibrosis based on patients with nonalcoholic fatty liver disease in the United States

BackgroundLiver fibrosis is closely related to abnormal liver function and liver cancer. Accurate noninvasive assessment of liver fibrosis is of great significance for preventing disease progression and treatment decisions. The purpose of this study was to develop and validate a non-invasive predict...

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Bibliographic Details
Main Authors: Yuanhui Guo, Baixuan Shen, Yanli Xue, Ying Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Endocrinology
Subjects:
non-alcoholic fatty liver disease
liver fibrosis
prediction model
logistic regression
NHANES
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1207365/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1207365/full

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