Evidence map›Paper›PMID 34652589›Full record

ArticleThe international journal of cardiovascular imaging2022

Association between epicardial adipose tissue density and characteristics of coronary plaques assessed by coronary computed tomographic angiography.

Zhihong Gao, Yuqiang Zuo, Linyi Jia, Yuling Yin, Xu Yang, Yimeng Fan, Huaijun Liu

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Article in The international journal of cardiovascular imaging, 2022. 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
–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

7 citing papers in PubMed.

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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.

Zhihong GaoDepartment of Physical Examination Center, The Second Hospital of Hebei Medical University, Shijiazhuang, 050005, Hebei, People's Republic of China.
Yuqiang ZuoDepartment of Physical Examination Center, The Second Hospital of Hebei Medical University, Shijiazhuang, 050005, Hebei, People's Republic of China.
Linyi JiaDepartment of Imaging, Xingtai People's Hospital, Xingtai, 054001, Hebei, People's Republic of China.
Yuling YinDepartment of Physical Examination Center, The Second Hospital of Hebei Medical University, Shijiazhuang, 050005, Hebei, People's Republic of China.
Xu YangDepartment of Physical Examination Center, The Second Hospital of Hebei Medical University, Shijiazhuang, 050005, Hebei, People's Republic of China.
Yimeng FanDepartment of Imaging Center, Shijiazhuang People's Hospital, Shijiazhuang, 050011, Hebei, People's Republic of China.
Huaijun LiuDepartment of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050005, Hebei, People's Republic of China. huaijunliu2@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the relationship between the epicardial adipose tissue density (EATD) and the coronary plaque components as assessed by coronary computed tomographic angiography (CCTA). The study cohort included 240 patients with chest pain or precardiac discomfort (mean age 62.01 ± 7.45 years, 55.83% male). Patients were assigned to the high-risk plaque (HRP) group (n = 133) or non-HRP group (n = 107). All patients underwent CCTA to assess plaque composition, and quantitative analysis of EATD and epicardial adipose tissue volume (EATV). Age, gender, EATV, EATD, diabetes history and family history were all correlated with HRP. There was no linear correlation between EATD and EATV among the subjects (R

Indexed as

Adipose TissueCoronary AngiographyCoronary Artery DiseasePericardiumPlaque, AtheroscleroticAgedComputed Tomography AngiographyFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk FactorsComputed tomographyCoronary computed tomography angiographyEpicardial adipose tissueHigh-risk plaque

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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.