Evidence map›Paper›PMID 30571602›Full record

SynthesisJournal of the American Heart Association2018

Association of Volumetric Epicardial Adipose Tissue Quantification and Cardiac Structure and Function.

Nitesh Nerlekar, Rahul G Muthalaly, Nathan Wong, Udit Thakur, Dennis T L Wong, Adam J Brown, Thomas H Marwick

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Trial
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  9. New cardiovascular risk factor and clinical surrogate: epicardial fat.European heart journal supplements : journal of the European Society of Cardiology · 2026
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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

7 authors.

Nitesh Nerlekar1 Monash Cardiovascular Research Centre Department of Medicine (Monash Medical Centre), Monash University and Monash Heart Monash Health Clayton Australia.
Rahul G Muthalaly1 Monash Cardiovascular Research Centre Department of Medicine (Monash Medical Centre), Monash University and Monash Heart Monash Health Clayton Australia.
Nathan Wong1 Monash Cardiovascular Research Centre Department of Medicine (Monash Medical Centre), Monash University and Monash Heart Monash Health Clayton Australia.
Udit Thakur1 Monash Cardiovascular Research Centre Department of Medicine (Monash Medical Centre), Monash University and Monash Heart Monash Health Clayton Australia.
Dennis T L Wong1 Monash Cardiovascular Research Centre Department of Medicine (Monash Medical Centre), Monash University and Monash Heart Monash Health Clayton Australia.
Adam J Brown1 Monash Cardiovascular Research Centre Department of Medicine (Monash Medical Centre), Monash University and Monash Heart Monash Health Clayton Australia.
Thomas H Marwick2 Baker Heart and Diabetes Institute Melbourne Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Epicardial adipose tissue ( EAT ) is in immediate apposition to the underlying myocardium and, therefore, has the potential to influence myocardial systolic and diastolic function or myocardial geometry, through paracrine or compressive mechanical effects. We aimed to review the association between volumetric EAT and markers of myocardial function and geometry. Methods and Results PubMed, Medline, and Embase were searched from inception to May 2018. Studies were included only if complete EAT volume or mass was reported and related to a measure of myocardial function and/or geometry. Meta-analysis and meta-regression were used to evaluate the weighted mean difference of EAT in patients with and without diastolic dysfunction. Heterogeneity of data reporting precluded meta-analysis for systolic and geometric associations. In the 22 studies included in the analysis, there was a significant correlation with increasing EAT and presence of diastolic dysfunction and mean e' (average mitral annular tissue Doppler velocity) and E/e' (early inflow / annular velocity ratio) but not E/A (ratio of peak early (E) and late (A) transmitral inflow velocities), independent of adiposity measures. There was a greater EAT in patients with diastolic dysfunction (weighted mean difference, 24.43 mL; 95% confidence interval, 18.5-30.4 mL; P<0.001), and meta-regression confirmed the association of increasing EAT with diastolic dysfunction ( P=0.001). Reported associations of increasing EAT with increasing left ventricular mass and the inverse correlation of EAT with left ventricular ejection fraction were inconsistent, and not independent from other adiposity measures. Conclusions EAT is associated with diastolic function, independent of other influential variables. EAT is an effect modifier for chamber size but not systolic function.

Indexed as

Adipose TissueAdiposityHeartHumansMyocardiumPericardiumdiastolic functionepicardial fatsystolic dysfunction

Identifiers

PMID30571602
PMCPMC6405553

What OpenQuestion holds

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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 OpenQuestion graph.