Evidence map›Paper›PMID 38218772›Full record

ArticleBMC cardiovascular disorders2024

Sex differences in the association between epicardial adipose tissue volume and left atrial volume index.

Satoshi Yamaguchi, Minetaka Maeda, Kageyuki Oba, Gulinu Maimaituxun, Osamu Arasaki, Shusuke Yagi, Kenya Kusunose, Takeshi Soeki, Hirotsugu Yamada, Daiju Fukuda and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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  4. Review
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

13 authors at 5 institutions in 1 country.

Satoshi YamaguchiDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1247, Japan.
Minetaka MaedaDepartment of Cardiology, Yuuai Medical Center, 50-5 Yone, Tomishiro, 901-0224, Okinawa, Japan.
Kageyuki ObaDepartment of Cardiology, Yuuai Medical Center, 50-5 Yone, Tomishiro, 901-0224, Okinawa, Japan.
Gulinu MaimaituxunDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1247, Japan.
Osamu ArasakiDepartment of Cardiology, Yuuai Medical Center, 50-5 Yone, Tomishiro, 901-0224, Okinawa, Japan.
Shusuke YagiDepartment of Cardiovascular Medicine, Tokushima University Hospital, 2-50-1 Kuramoto-cho, Tokushima, 770-0042, Japan.
Kenya KusunoseDepartment of Cardiovascular Medicine, Nephrology, and Neurology, Graduate School of Medicine, University of the Ryukyus, 207 Nishihara-cho, Okinawa, 903-0215, Japan.
Takeshi SoekiDepartment of Cardiovascular Medicine, Tokushima University Hospital, 2-50-1 Kuramoto-cho, Tokushima, 770-0042, Japan.
Hirotsugu YamadaDepartment of Cardiovascular Medicine, Tokushima University Hospital, 2-50-1 Kuramoto-cho, Tokushima, 770-0042, Japan.
Daiju FukudaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
Hiroaki MasuzakiDivision of Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology (Second Department of Internal Medicine), Graduate School of Medicine, University of the Ryukyus, 207 Nishihara-cho, Okinawa, 903-0215, Japan.
Masataka SataDepartment of Cardiovascular Medicine, Tokushima University Hospital, 2-50-1 Kuramoto-cho, Tokushima, 770-0042, Japan.
Michio ShimabukuroDepartment of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1247, Japan. mshimabukuro-ur@umin.ac.jp.
Tokushima University Hospital · JPFukushima Medical University · JPOkinawa Prefecture · JPUniversity of the Ryukyus · JPOsaka Metropolitan University

Funding

Japan Society for the Promotion of Science JP16K01823
6 · The paper itself

Abstract

backgroundSex disparities in the association between epicardial adipose tissue volume (EATV) and cardiovascular disease have been reported. The sex-dependent effects of EATV on left atrial (LA) size have not been elucidated.

methodsConsecutive 247 subjects (median 65 [interquartile range 57, 75] years; 67% of men) who underwent multi-detector computed tomography without significant coronary artery disease or moderate to severe valvular disease were divided into two groups: patients with sinus rhythm (SR) or atrial fibrillation (AF). Sex differences in the association between the EATV index (EATVI) (mL/m

resultsIn overall that includes both men and women, the relationship between EATVI and LAVI was not significantly correlated for patients with SR and AF. The relationship between EATVI and LAVI differed between men and women in both SR and AF groups. In SR patients, there was a positive relationship between EATVI and LAVI in men, but not in women. In contrast, in patients with AF, a negative relationship was found between EATVI and LAVI in women, whereas no association was found in men.

conclusionsWe evaluated sex differences in the association between EATVI and LAVI in patients with either SR or AF, and found a positive relationship in men with SR and a negative relationship in women with AF. This is the first report to evaluate sex differences in the relationship between EATVI and LAVI, suggesting that EAT may play a role, at least in part, in sex differences in the etiology of AF.

Indexed as

Atrial AppendageAtrial FibrillationAdipose TissueEpicardial Adipose TissueFemaleHeart AtriaHumansMaleSex CharacteristicsAtrial fibrillationEpicardial adipose tissueLeft atrial volume indexSex difference

Identifiers

PMID38218772
PMCPMC10788019
OpenAlexW4390837720

What OpenQuestion holds

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LicenceCC BY
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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.