Evidence map›Paper›PMID 36443926›Full record

ReviewClinical and molecular hepatology2023

MAFLD: How is it different from NAFLD?

Cameron Gofton, Yadhavan Upendran, Ming-Hua Zheng, Jacob George

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and molecular hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 251 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
251citing papers in PubMed, 7 pooled it
55.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

251 citing papers in PubMed, 7 syntheses or guidelines pooled it, 384 citations in OpenAlex.

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191 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Cameron GoftonStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, NSW, Australia.
Yadhavan UpendranStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, NSW, Australia.
Ming-Hua ZhengMAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Jacob GeorgeStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, NSW, Australia.
The University of Sydney · AUWenzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Metabolic dysfunction-associated fatty liver disease (MAFLD)" is the term suggested in 2020 to refer to fatty liver disease related to systemic metabolic dysregulation. The name change from nonalcoholic fatty liver disease (NAFLD) to MAFLD comes with a simple set of criteria to enable easy diagnosis at the bedside for the general medical community, including primary care physicians. Since the introduction of the term, there have been key areas in which the superiority of MAFLD over the traditional NAFLD terminology has been demonstrated, including for the risk of liver and extrahepatic mortality, disease associations, and for identifying high-risk individuals. Additionally, MAFLD has been adopted by a number of leading pan-national and national societies due to its concise diagnostic criterion, removal of the requirement to exclude concomitant liver diseases, and reduction in the stigma associated with this condition. The current article explores the differences between MAFLD and NAFLD diagnosis, areas of benefit, some potential limitations, and how the MAFLD terminology has opened up new fields of research.

Indexed as

Metabolic DiseasesNon-alcoholic Fatty Liver DiseaseHumansMAFLDMAFLD vs. NAFLDNAFLD

Identifiers

PMID36443926
PMCPMC10029949
OpenAlexW4310463081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.