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MAFLD  

Diagnosis of Metabolic Dysfunction Associated Fatty Liver Disease
View on CRAN: Click here


Download and install MAFLD package within the R console
Install from CRAN:
install.packages("MAFLD")

Install from Github:
library("remotes")
install_github("cran/MAFLD")

Install by package version:
library("remotes")
install_version("MAFLD", "4.0.0")



Attach the package and use:
library("MAFLD")
Maintained by
Jagadish Ramasamy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-14
Latest Update: 2025-09-14
Description:
The latest guidelines proposed by International Expert Consensus are used for the clinical diagnosis of Metabolic Associated Fatty Liver Disease (MAFLD). The new definition takes hepatic steatosis (determined by elastography or histology or biomarker-based fatty liver index) as a major criterion. In addition, race, gender, body mass index (BMI), waist circumference (WC), fasting plasma glucose (FPG), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), homeostatic model assessment of insulin resistance (HOMAIR), high sensitive c-reactive protein (HsCRP) for the diagnosis of MAFLD. Each parameter has to be interpreted based on the proposed cut-offs, making the diagnosis slightly complex and error-prone. This package is developed by incorporating the latest international expert consensus guidelines, and it will aid in the easy and quick diagnosis of MAFLD based on FibroScan in busy healthcare settings and also for research purposes. The new definition for MAFLD as per the International Consensus Statement is described by Eslam M et al (2020). <doi:10.1016/j.jhep.2020.03.039>.
How to cite:
Jagadish Ramasamy (2025). MAFLD: Diagnosis of Metabolic Dysfunction Associated Fatty Liver Disease. R package version 4.0.0, https://cran.r-project.org/web/packages/MAFLD. Accessed 25 Oct. 2026.
Previous versions and publish date:
3.0.0 (2025-09-14 18:10), (2026-07-09 08:08)
Other packages that cited MAFLD R package
View MAFLD citation profile
Other R packages that MAFLD depends, imports, suggests or enhances
Complete documentation for MAFLD
Functions, R codes and Examples using the MAFLD R package
Full MAFLD package functions and examples
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