用于预测代谢相关性脂肪肝患者明显纤维化的无创预测提名图：一项横断面研究

IF 4.9 2区医学 Q1 MEDICINE, GENERAL & INTERNAL

Annals of medicine Pub Date : 2024-04-04 DOI:10.1080/07853890.2024.2337739

Fan Zhang, Yan Han, Yonghua Mao, Guojun Zheng, Longgen Liu, Wenjian Li

引用次数: 0

摘要

本研究旨在验证传统非侵入性评分在预测代谢相关性脂肪肝（MAFLD）显著纤维化方面的有效性，并开发一种非侵入性评分方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Non-invasive prediction nomogram for predicting significant fibrosis in patients with metabolic-associated fatty liver disease: a cross-sectional study

This study aims to validate the efficacy of the conventional non-invasive score in predicting significant fibrosis in metabolic-associated fatty liver disease (MAFLD) and to develop a non-invasive ...

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来源期刊

Annals of medicine 医学-医学：内科

CiteScore

4.90

自引率

0.00%

发文量

292

审稿时长

3 months

期刊介绍： Annals of Medicine is one of the world’s leading general medical review journals, boasting an impact factor of 5.435. It presents high-quality topical review articles, commissioned by the Editors and Editorial Committee, as well as original articles. The journal provides the current opinion on recent developments across the major medical specialties, with a particular focus on internal medicine. The peer-reviewed content of the journal keeps readers updated on the latest advances in the understanding of the pathogenesis of diseases, and in how molecular medicine and genetics can be applied in daily clinical practice.