Evidence map›Paper›PMID 31905440›Full record

ArticleAnnals of pediatric endocrinology & metabolism2019

Perirenal and epicardial fat and their association with carotid intima-media thickness in children.

Abel López-Bermejo, Anna Prats-Puig, Inés Osiniri, Jose-Maria Martínez-Calcerrada, Judit Bassols

Open access · diamondAbstract read
In one paragraph

Article in Annals of pediatric endocrinology & metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Abel López-BermejoPediatric Endocrinology, Girona Institute for Biomedical Research, Girona, Spain.
Anna Prats-PuigDepartment of Physical Therapy, EUSES University School, University of Girona, Salt, Spain.
Inés OsiniriPediatrics, Clinica Bofill, Girona, Spain.
Jose-Maria Martínez-CalcerradaInstitute of Legal Medicine of Catalonia, Girona, Spain.
Judit BassolsMaternal & Fetal Metabolic Research, Girona Institute for Biomedical Research, Salt, Spain.
Institut d'Investigació Biomèdica de Girona · ESClínica Girona · ESUniversitat de Girona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent data suggest that subclinical atherosclerosis is more related to visceral adipose tissue distribution than to overall fat mass. Both perirenal fat and epicardial fat are visceral fat depots surrounding the kidneys and the myocardium, respectively, which can be easily assessed by ultrasound. Their clinical relevance in children is largely unknown. This review describes studies relating perirenal and epicardial fat to cardiovascular disease or carotid intima-media thickness (cIMT), a well-established surrogate for subclinical atherosclerosis, and discusses this in context with our own data from children. In adults, both perirenal and epicardial fat are useful biological markers of visceral obesity. The former has been related to hypertension in overweight subjects and with atherosclerosis in patients with human immunodeficiency virus. The latter was associated with several metabolic syndrome components and with calcification of the carotid artery. In healthy prepubertal children, both epicardial and perirenal fat thickness, rather than total body fat mass, were related to cIMT. Ultrasonography measures of perirenal and epicardial fat are related to atherosclerosis in adults and may be convenient tools for the assessment of cardiometabolic risk in children.

Indexed as

Body fat distributionCardiovascular diseasesCarotid intima-media thicknessChildIntra-abdominal fat

Identifiers

PMID31905440
PMCPMC6944860
OpenAlexW2996823597

What OpenQuestion holds

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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.