Evidence mapPaperPMID 41165963Full record

ReviewCurrent atherosclerosis reports2025

Metabolic Dysfunction-Associated Steatotic Liver Disease and Cardiovascular Disease- A Growing Threat Beyond the Liver.

Mohammad Dawar Zahid, Abhishek Lal, Aysha Almas, Om Parkash

Abstract readReview
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In one paragraph

Review in Current atherosclerosis reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Mohammad Dawar ZahidMedical Student, Aga Khan University, Karachi, Pakistan.
Abhishek LalDepartment of Medicine, Aga Khan University, National Stadium Road, Karachi, Pakistan.
Aysha AlmasDepartment of Medicine, Aga Khan University, National Stadium Road, Karachi, Pakistan.
Om ParkashDepartment of Medicine, Aga Khan University, National Stadium Road, Karachi, Pakistan. om.parkash@aku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMetabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and atherosclerotic cardiovascular disease (ASCVD) are familiar co-attendants, while two-way pathophysiological relationships between them are incompletely determined. Mechanisms-insulin resistance, dyslipidemia, inflammation, and endothelial dysfunction-that underlie MASLD-induced atherogenesis are discussed in the narrative. Ascertainment of tools for the risk stratification of ASCVD in the population is also made. RECENT

findingsIn the last five years, the findings of the cohort studies show MASLD severity is related to subclinical atherosclerosis and future cardiovascular events. New biomarkers (e.g., apolipoprotein B, adipokines) and imaging techniques (e.g., coronary CT angiography) enhance the prediction of risk over the traditional factors. New treatments-GLP-1 receptor agonists and SGLT2 inhibitors-appear to decrease the hepatic steatosis and endpoints of ASCVD, but the use of statins is suboptimal due to the perceived safety issue of the liver. MASLD is a marker and mediator of the risk of ASCVD and thus warrants joint screening and management strategies. Incorporating MASLD-related biomarkers within cardiovascular risk models may be helpful for early detection. High priority for the future is large-scale, randomly controlled clinical studies of combined metabolic therapies to gain dual optimal benefits for the liver and the heart.

Indexed as

Cardiovascular DiseasesFatty LiverBiomarkersHumansInsulin ResistanceRisk FactorsBiomarkersAtherosclerotic diseaseMetabolic dysfunction associated steatotic liver diseaseNon-alcoholic fatty liver diseasePublic health

Identifiers

What Socratic holds

Textmetadata
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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.