Institutional Nomogram for Estimating Risk of Metabolic Associated Fatty Liver Disease (MAFLD)
The nomogram serves as an effective tool for predicting MAFLD. Its utility in early risk identification of MAFLD is of significant importance, as it facilitates timely intervention and treatment for patients affected by this condition.
Authors
- Xiqiao Zhou (ORCID: https://orcid.org/0000-0003-3122-3904)
- Liu-lan Xiang
- Yu-tian Cao
- Yinfeng Dong (ORCID: https://orcid.org/0000-0001-6381-9783)
- Tian-su Lv
- Fang Qi (ORCID: https://orcid.org/0009-0004-4225-3118)
- Jie Tian (ORCID: https://orcid.org/0000-0001-9642-2440)
- Yaohuan Sun
- Wenhui Zhang (ORCID: https://orcid.org/0000-0002-8401-1211)
- Yujuan Zhang (ORCID: https://orcid.org/0000-0002-3243-1644)
- Jiaxuan Huai (ORCID: https://orcid.org/0000-0001-7452-0605)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Jiangsu Province Hospital (CN)
Publication Details
- Journal
- Diabetes Metabolic Syndrome and Obesity
- Published
- 2024-10-01
- DOI
- https://doi.org/10.2147/dmso.s469677
- Citations
- 2
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- National Science Foundation
- National Natural Science Foundation of China
- Government of Jiangsu Province