Evidence map›Paper›PMID 34900565›Full record

ArticleGlobal heart2021

Association of Periaortic Fat and Abdominal Visceral Fat with Coronary Artery Atherosclerosis in Chinese Middle Aged and Elderly Patients Undergoing Computed Tomography Coronary Angiography.

Jingqi Zhu, Zhangwei Yang, Xiaolin Li, Xiaoli Chen, Jingjiang Pi, Tao Zhuang, Jie Liu, Gang Li, Sheng Peng, Lin Zhang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Global heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Radiomics in Cardiac Computed Tomography.Diagnostics (Basel, Switzerland) · 2023
    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

17 authors at 6 institutions in 3 countries.

Jingqi ZhuDepartment of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, CN.
Zhangwei YangDepartment of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Xiaolin LiJinggangshan University, school of medicine, Jiangxi, CN.
Xiaoli ChenKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Jingjiang PiDepartment of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Tao ZhuangKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Jie LiuKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Gang LiDepartment of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Sheng PengKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Lin ZhangKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Qi ZhangDepartment of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Paul ChanDivision of Cardiology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, TW.
Brian TomlinsonFaculty of Medicine, Macau University of Science and Technology, Macau, CN.
Huimin FanKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Liang ZhengKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Zhongmin LiuKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Yuzhen ZhangKey Laboratory of Arrhythmias of the Ministry of Education of China, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, CN.
Shanghai East Hospital · CNTongji University · CNJinggangshan University · CNMacau University of Science and Technology · MOShanghai Tenth People's Hospital · CNTaipei Medical University · TW

Funding

UJMT – ORWH – Gazzetta, Issa-BoubeD43TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI William Checkley, Benjamin H. Chi · 2017 to 2026
$14.8M
FIC NIH HHS D43 TW009340
6 · The paper itself

Abstract

Background and Aims: Coronary artery disease (CAD) is usually caused by atherosclerosis, which is associated with general obesity and stronger associations with localized ectopic fat depots have been reported. We measured body ectopic fat distribution in Chinese patients to determine the association with coronary artery atherosclerosis (CA). Methods: Patients undergoing coronary computed tomography angiography (CCTA) who agreed to participate in the study (n = 750, 50.4% men, mean age 64.8 years) had cardiovascular disease and risk assessment. Body ectopic fat depots were measured from CT and their association with CA, determined from CCTA, was evaluated by univariate and multivariate logistic regression models. Results: CAD with CA (CAD-CA) was present in 57.2% of participants with CAD of moderate/severe CA (CAD-msCA) present in 23.5% and both were significantly more frequent in men than in women. Overall, men had greater body mass index (BMI) but there was no difference in waist circumference (WC) between genders. However, significantly higher visceral adipose tissue (VAT) and periaortic fat volume (PAFV) were observed in men, whereas women had significantly higher abdominal subcutaneous adipose tissue (SAT). With increasing age, there was a significant decline in BMI, WC and SAT in men, but a significant increase of WC and VAT, PAFV and epicardial fat volume (EFV) in women. A high proportion of non-calcified plaques was observed in CAD-CA, 55.3% in CAD of minimal/mild CA (CAD-mmCA) with 38.7% exclusively non-calcified plaques, and 59.7% in CAD-msCA with multiple type plaques containing non-calcified ones. Multivariate logistic regression showed a significant association of PAFV with CAD-CA and CAD-msCA that was independent of general obesity and clinical risk factors, and independent of abdominal obesity in the highest PAFV quartile patients. VATA was associated with an increased prevalence of CAD-msCA in the patients in the upper 2 VATA quartiles that was independent of clinical risk factors and both general and abdominal obesity. Conclusions: We found age and gender differences of body ectopic fat distribution in Chinese patients with higher VAT and PAFV in men and higher SAT in women. With increased age, there was a decline of WC and SAT in men but not in women and an increase in WC, VAT and PAFV in women but not in men. PAFV was significantly associated with overall CAD-CA and CAD-msCA, while VAT was associated with CAD-msCA.

Indexed as

AtherosclerosisCoronary Artery DiseaseAgedBody Mass IndexChinaComputed Tomography AngiographyCoronary AngiographyFemaleHumansIntra-Abdominal FatMaleMiddle AgedRisk FactorsTomography, X-Ray Computedatherosclerosisbody ectopic fat distributioncoronary artery diseaseperiaortic fatvisceral fat

Identifiers

PMID34900565
PMCPMC8533656
OpenAlexW3206582666

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.