Evidence map›Paper›PMID 41368118›Full record

ReviewWorld journal of hepatology2025

Redefining fatty liver as metabolic dysfunction-associated steatotic liver disease: Implications of nomenclature changes for patients with diabetes.

Tulio L Correa, Nikki Duong

Abstract readReview
In one paragraph

Review in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Tulio L CorreaDivision of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, United States. correatl@upmc.edu.
Nikki DuongDivision of Gastroenterology and Hepatology, Stanford University, Palo Alto, CA 94608, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolving nomenclature from non-alcoholic fatty liver disease (NAFLD) to metabolic dysfunction-associated steatotic liver disease (MASLD) aims to better encompass the metabolic context of the disease. This change has significant implications for patients with type 2 diabetes mellitus (T2DM), given the frequent overlap between these conditions. This minireview explores the rationale behind the change, compares diagnostic criteria, and evaluates the impact of the MASLD framework on disease prevalence, characterization, and outcomes in T2DM patients. The updated MASLD criteria include all individuals with T2DM and hepatic steatosis, emphasizing metabolic dysfunction as the primary driver. In contrast, the NAFLD definition necessitates excluding other chronic liver diseases and verifying the absence of significant alcohol consumption, leading to a narrower diagnostic framework. Both metabolic dysfunction-associated fatty liver disease and MASLD identify a higher prevalence of steatotic liver disease, particularly among T2DM patients, compared to NAFLD. Notably, the MASLD framework introduces metabolic and alcohol-associated liver disease to account for dual etiologies involving alcohol use, which is common in T2DM populations but previously excluded under NAFLD criteria. While the new definitions enhance clinical relevance and inclusivity, they also highlight challenges such as unrecognized medication-induced steatosis and the need for reclassification in ongoing T2DM clinical trials. Emerging evidence supports enhanced screening strategies (

Indexed as

Diabetes mellitusFatty liverMetabolic dysfunction-associated steatotic liver diseaseNon-alcoholic fatty liver diseaseType 2 diabetes mellitus

Identifiers

PMID41368118
PMCPMC12683396

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.