Evidence mapPaperPMID 40860752Full record

ReviewHepatic medicine : evidence and research2025

MAFLD: A Comprehensive Review of the Link Between Metabolic Dysfunction and Cardiovascular Risk.

Alaa M Mostafa, Ziyan Pan, Ming-Lung Yu, Necati Örmeci, Yasser Fouad, Mohammed Eslam

Abstract readReview
In one paragraph

Review in Hepatic medicine : evidence and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Alaa M MostafaDepartment of Gastroenterology, Hepatology and Endemic Medicine, Faculty of Medicine, Minia University, Minia, Egypt.
Ziyan PanStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.
Ming-Lung YuSchool of Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan.ORCID 0000-0001-8145-1900
Necati ÖrmeciDepartment of Internal Medicine, Istanbul Health and Technology University, İstanbul, Türkiye.
Yasser FouadDepartment of Gastroenterology, Hepatology and Endemic Medicine, Faculty of Medicine, Minia University, Minia, Egypt.
Mohammed EslamStorr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-4315-4144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated fatty liver disease (MAFLD) affects over 30% of the global population. It is a multisystem condition with a strong association with cardiovascular disease (CVD), the leading cause of mortality worldwide. Key shared mechanisms, including insulin resistance, systemic inflammation, oxidative stress, and genetic predisposition, couple MAFLD with increased risks of coronary artery disease, ischemic heart disease, and heart failure. Early detection via non-invasive imaging and biomarkers is crucial for effective risk stratification. Management strategies emphasize lifestyle modifications and the development of targeted pharmacotherapies addressing metabolic and inflammatory pathways. Understanding the interconnected pathogenic mechanisms facilitates personalized interventions to reduce morbidity and improve long-term outcomes. A multidisciplinary approach remains essential to prevent and manage the cardiovascular implications of MAFLD.

Indexed as

cardiometabolic riskfatty livermetabolic dysfunctionpharmacotherapy

Identifiers

PMID40860752
PMCPMC12374717

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.