Evidence map›Paper›PMID 29446645›Full record

ArticleDiabetes & vascular disease research2018

The relationship of perivascular adipose tissue and atherosclerosis in the aorta and carotid arteries, determined by magnetic resonance imaging.

Mohammad Alkhalil, Evan Edmond, Laurienne Edgar, Janet E Digby, Omar Omar, Matthew D Robson, Robin P Choudhury

Open access · hybridAbstract read
In one paragraph

Article in Diabetes & vascular disease research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
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  5. Pericarotid Fat as a Marker of Cerebrovascular Risk.AJNR. American journal of neuroradiology · 2024
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  16. Current concepts in atherosclerosis.Indian journal of thoracic and cardiovascular surgery · 2018
    Article
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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 at 2 institutions in 1 country.

Mohammad Alkhalil1 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK.ORCID 0000-0002-3088-8878
Evan Edmond1 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK.
Laurienne Edgar1 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK.
Janet E Digby1 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK.
Omar Omar3 Centre for Statistics in Medicine, University of Oxford, Oxford, UK.
Matthew D Robson1 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK.
Robin P Choudhury1 Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK.
John Radcliffe Hospital · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsImaging studies have relied on the 'overall' volumetric quantification of perivascular adipose tissue. We sought to assess the relationship of circumferential distribution between perivascular adipose tissue and adjacent wall thickness of carotid and aortic arteries using dedicated magnetic resonance imaging sequences.

methodsVessel wall and perivascular adipose tissue were acquired using magnetic resonance imaging (1.5 T). Co-registered images were segmented separately, and measurements of both perivascular adipose tissue and vessel wall were obtained along radii of the vessel spaced at angles of 5° each.

resultsIn total, 29 patients were recruited. Perivascular adipose tissue thickness of the aorta was 3.34 ± 0.79 mm with specific pattern of 'double peaks' distribution, while carotid perivascular adipose tissue had no identifiable pattern with thickness of 0.8 ± 0.91 mm. Although statistically significant, the correlation between perivascular adipose tissue thickness and wall thickness in carotid arteries with normal (r = 0.040, p = 0.001) or with abnormal wall thickness (r = -0.039, p = 0.015) was merely nominal. Similarly, perivascular adipose tissue of the aorta had very weak correlation with normal aortic wall thickness (r = 0.010, p = 0.008) but not with the abnormal ones (r = -0.05, p = 0.29).

conclusionDissociation between the spatial distribution of perivascular adipose tissue and arterial wall thickening in the aorta and carotid arteries does not support that perivascular adipose tissue has a causal role in promoting atherosclerotic plaque via a paracrine route. Yet, perivascular adipose tissue functional properties were not examined in this study.

Indexed as

Plaque, AtheroscleroticAdipose TissueAgedAorta, ThoracicAortic DiseasesAtherosclerosisCarotid ArteriesCarotid Artery DiseasesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPredictive Value of Testsaortaatherosclerosiscarotid arteriesmagnetic resonance imagingPerivascular adipose tissue

Identifiers

PMID29446645
PMCPMC6039860
OpenAlexW2793999271

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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.