Evidence map›Paper›PMID 40734888›Full record

ReviewCureus2025

Pathological Evolution and Internal Medicine Management of Nonalcoholic Fatty Liver Disease (NAFLD) in the Era of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

Muhammad Moseeb Ali Hashim, Muhammad Aizaz Mohsin Khan, Muhammad Usama Ashraf, Saniya Mohsin, Kamran Zahoor, Javeria Niazi, Aiza Khan, Sania Muzaffar, Madiha Makhdumi, Omar Ahmed Ibad and 2 more

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

12 authors.

Muhammad Moseeb Ali HashimPathology and Laboratory Medicine, University of Missouri-Columbia, Columbia, USA.
Muhammad Aizaz Mohsin KhanSchool of Medicine, The University of Buckingham, Buckingham, GBR.
Muhammad Usama AshrafInternal Medicine, Changsha Medical University, Changsha, CHN.
Saniya MohsinInternal Medicine, Baqai Medical University, Karachi, PAK.
Kamran ZahoorPathology, Allama Iqbal Medical College, Lahore, PAK.
Javeria NiaziSchool of Medicine, The University of Buckingham, Buckingham, GBR.
Aiza KhanSchool of Medicine, The University of Buckingham, Buckingham, GBR.
Sania MuzaffarPathology and Laboratory Medicine, Dow University of Health Sciences, Karachi, PAK.
Madiha MakhdumiPathology and Laboratory Medicine, Baylor Univeraity Medical Center, Dallas, USA.
Omar Ahmed IbadPathology and Laboratory Medicine, Shifa College of Medicine, Islamabad, PAK.
Talha Kamran KhanPathology and Laboratory Medicine, University of California Davis Health System, Sacramento, USA.
Sohaib KhalidHistopathology, Chughtai Institute of Pathology, Lahore, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic fatty liver disease (NAFLD), is now recognized as the most prevalent chronic liver disease worldwide, driven by the rise in obesity, type 2 diabetes, and metabolic syndrome. The evolving nomenclature and understanding of MASLD necessitate updated insights into its pathophysiology, diagnostics, and internal medicine management. A comprehensive literature review was conducted using PubMed, Scopus, Web of Science, and Cochrane databases for articles published between 2018 and 2025. Eligible studies included human-based clinical or translational research addressing MASLD pathogenesis, diagnostics, and management. Non-invasive scoring systems, pharmacotherapies, and multidisciplinary management strategies were evaluated. The pathological progression of MASLD spans from simple steatosis to steatohepatitis, fibrosis, cirrhosis, and hepatocellular carcinoma. Key pathogenic mechanisms involve insulin resistance, adipokine imbalance, gut-liver axis dysregulation, and genetic polymorphisms such as PNPLA3. Diagnostic approaches have shifted toward non-invasive tools, including Fibrosis-4 (FIB-4), NAFLD Fibrosis Score, Enhanced Liver Fibrosis (ELF) score, Vibration-Controlled Transient Elastography (VCTE), and magnetic resonance imaging-proton density fat fraction (MRI-PDFF). Lifestyle modification remains the cornerstone of management, but promising pharmacologic therapies, such as glucagon-like peptide-1 (GLP-1) receptor agonists, vitamin E, pioglitazone, and resmetirom, are emerging. Multidisciplinary risk factor control, including diabetes, lipid, and blood pressure management, is critical. Emerging biomarkers and multi-omics technologies, alongside artificial intelligence, are redefining MASLD stratification and therapeutic monitoring. Early identification and comprehensive management of MASLD are essential to prevent advanced liver disease and associated comorbidities. With evolving nomenclature, non-invasive diagnostics, and emerging therapies, internal medicine practitioners must adopt an integrative, multidisciplinary approach to care. Future research should prioritize personalized treatment strategies and health system integration to address the growing MASLD burden.

Indexed as

enhanced liver fibrosis (elf) testfibrosis-4 (fib-4) scoreinternal medicine management of masldliver fibrosis and steatohepatitismagnetic resonance imaging-proton density fat fractionmetabolic dysfunction-associated steatohepatitis (mash)metabolic dysfunction-associated steatotic liver disease (masld)nonalcoholic fatty liver disease (nafld)non-invasive diagnostic tools in liver diseasevibration-controlled transient elastography (vcte)

Identifiers

PMID40734888
PMCPMC12306519

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Registered trials

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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.