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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "MAFLD" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'MAFLD: Diagnosis of Metabolic Dysfunction Associated Fatty Liver Disease'
version: 4.0.0
doi: 10.32614/CRAN.package.MAFLD
abstract: 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). <https://doi.org/10.1016/j.jhep.2020.03.039>.
authors:
- family-names: Ramasamy
  given-names: Jagadish
  email: iamjagankmr@gmail.com
  orcid: https://orcid.org/0000-0003-4725-3227
repository: https://jagadishramasamy.r-universe.dev
repository-code: https://github.com/jagadishramasamy/mafld
commit: d4f2a8e54df782c6adae6d375705655a09c33d61
url: https://github.com/jagadishramasamy/mafld
date-released: '2025-10-28'
contact:
- family-names: Ramasamy
  given-names: Jagadish
  email: iamjagankmr@gmail.com
  orcid: https://orcid.org/0000-0003-4725-3227