Evidence map›Paper›PMID 40501478›Full record

ArticleWorld journal of hepatology2025

Cardiovascular implications of metabolic dysfunction-associated fatty liver disease and type 2 diabetes mellitus: A meta-analysis.

Sahana Shetty, Renuka Suvarna, Vanessa Ambrose Fistus, Shivam Modi, Joseph M Pappachan

Abstract read
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Article in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

5 authors.

Sahana ShettyDepartment of Endocrinology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
Renuka SuvarnaDepartment of Endocrinology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
Vanessa Ambrose FistusDepartment of Medicine, Royal Preston Hospital, Lancashire Teaching Hospitals National Health Service Trust, Preston PR2 9HT, Lancashire, United Kingdom.
Shivam ModiDepartment of Endocrinology and Metabolism, Lancashire Teaching Hospitals National Health Service Trust, Preston PR2 9HT, Lancashire, United Kingdom.
Joseph M PappachanFaculty of Science, Manchester Metropolitan University, Manchester M15 6BH, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated fatty liver disease (MAFLD) and type 2 diabetes mellitus (T2DM) are independent risk factors for the development of cardiovascular disease (CVD) and an exaggerated CVD risk is expected when both diseases co-exist. Therefore, thorough risk stratification is important to inform better clinical practice decisions based on good quality evidence for patient with MAFLD and T2DM.

aimTo identify the CVD and cardiovascular event (CVE) risk in a systematic review when MAFLD and T2DM co-exist to inform better clinical practice decisions.

methodsA systematic review was performed by compiling data by searching PubMed, EMBASE and Cochrane Library databases. Quality appraisal of retrieved studies and the meta-analysis were performed using Joanna Briggs Institute (JBI) tool and RevMan 5.4 software respectively. The effect indicators for CVE and CVD risk were expressed as odds ratios (OR) and 95%CI with

resultsFourteen (5 cohort and 9 cross-sectional) studies with 370013 participants were included in this review. The meta-analysis of CVE showed that the risk of CVE in T2DM was higher in the MAFLD group when compared to the non-MAFLD group [OR 1.28 (95%CI, 1.04-1.56)

conclusionThe presence of MAFLD in T2DM increased the risk of CVE. The prevalence of CVD is higher in T2DM with MAFLD as compared to T2DM without MAFLD. Large well-designed multicentric long-term prospective studies are necessary to appropriately risk stratify the cardiovascular effect of the MAFLD in T2DM patients.

Indexed as

Cardiovascular diseaseCardiovascular eventsInsulin resistanceMetabolic dysfunction-associated fatty liver diseaseType 2 diabetes mellitus

Identifiers

PMID40501478
PMCPMC12149901

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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.