Evidence map›Paper›PMID 28770033›Full record

ArticleJournal of cardiovascular ultrasound2017

Epicardial Fat Thickness is Correlated with Vagal Hyperactivity in Patients with Neurally-Mediated Syncope.

Kyoung Im Cho, Young Soo Lee, Byong Kyu Kim, Bong Joon Kim, Kee Sik Kim

Abstract read
In one paragraph

Article in Journal of cardiovascular ultrasound, 2017. 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. Review
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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.

Kyoung Im ChoDivision of Cardiology, Department of Internal Medicine, Kosin University College of Medicine, Busan, Korea.
Young Soo LeeDivision of Cardiology, Department of Internal Medicine, Catholic University of Daegu College of Medicine, Daegu, Korea.
Byong Kyu KimDivision of Cardiology, Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, Korea.
Bong Joon KimDivision of Cardiology, Department of Internal Medicine, Kosin University College of Medicine, Busan, Korea.
Kee Sik KimDivision of Cardiology, Department of Internal Medicine, Catholic University of Daegu College of Medicine, Daegu, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpicardial fat tissue has unique endocrine and paracrine functions that affect the cardiac autonomic system. The head-up tilt test (HUTT) is a simple non-invasive measurement that assesses autonomic nervous system dysfunction. We investigated the association between epicardial fat thickness (EFT) and autonomic neural tone, such as vagal tone.

methodsA total of 797 consecutive patients (mean age 46.5 years, male: 45.7%) who underwent HUTT and echocardiography between March 2006 and June 2015 were enrolled. EFT was measured during the diastolic phase of the parasternal long axis view. We excluded patients with prior percutaneous coronary intervention, old age (* 70 years old), valvular heart disease, symptomatic arrhythmias and diabetes. We divided patients into two groups based on the HUTT (positive vs. negative).

resultsThere were 329 patients (41.3%) with a negative HUTT result and 468 patients (58.7%) with a positive result. The HUTT-positive patients showed a significantly lower waist circumference, body mass index and systolic and diastolic blood pressure, although a significantly higher EFT as compared to the HUTT-negative patients (HUTT-positive, 5.69 ± 1.76 mm vs. HUTT-negative, 5.24 ± 1.60 mm; CONCLSION: EFT was significantly correlated with positive HUTT, which suggests an association between EFT and autonomic dysregulation.

Indexed as

Cardiac autonomic functionEpicardial fatVasovagal syncope

Identifiers

PMID28770033
PMCPMC5526886

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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.