Evidence map›Paper›PMID 37284116›Full record

ArticleQuantitative imaging in medicine and surgery2023

Identification of patients with acute coronary syndrome and representation of their degree of inflammation: application of pericoronary adipose tissue within different radial distances of the proximal coronary arteries.

Xiaolin Dong, Chentao Zhu, Na Li, Ke Shi, Nuo Si, Yujia Wang, Hong Pan, Zhenzhou Shi, Shuting Wang, Min Zhao and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. 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
1.5field-weighted citation impact, top 16% 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, 7 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

11 authors at 2 institutions in 1 country.

Xiaolin DongDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Chentao ZhuDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Na LiDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Ke ShiDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Nuo SiDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Yujia WangDepartment of Interventional and Vascular, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Hong PanDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhenzhou ShiDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Shuting WangDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Min ZhaoPharmaceutical Diagnostics, GE Healthcare, Beijing, China.
Tong ZhangDepartment of Radiology, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Fourth Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pericoronary adipose tissue (PCAT) around the proximal right coronary artery (RCA) is considered a marker of coronary inflammation. We aimed to explore the segments of PCAT that represent coronary inflammation in patients with acute coronary syndrome (ACS) and to identify patients with ACS and stable coronary artery disease (CAD) prior to intervention. Methods: We retrospectively enrolled consecutive patients with ACS and stable CAD who underwent invasive coronary angiography (ICA) after coronary computed tomography angiography (CCTA) from November 2020 to October 2021 at the Fourth Affiliated Hospital of Harbin Medical University. The fat attenuation index (FAI) was obtained using PCAT quantitative measurement software, and the coronary Gensini score was also calculated to indicate the severity of CAD. The differences and correlations between FAI within different radial distances of proximal coronary arteries were evaluated, and the recognition ability of FAI for patients with ACS and stable CAD was evaluated by establishing receiver operator characteristic (ROC) curves. Results: A total of 267 patients were included in the cross-sectional study, including 173 patients with ACS. With the increase of radial distance from the outer wall of proximal coronary vessels, the FAI decreased (P<0.001). The FAI around the proximal left anterior descending artery (LAD) within the reference diameter from the outer wall of the vessel (LAD Conclusions: LAD

Indexed as

Acute coronary syndrome (ACS)coronary artery disease (CAD)coronary computed tomography angiography (CCTA)fat attenuation index (FAI)pericoronary adipose tissue (PCAT)

Identifiers

PMID37284116
PMCPMC10240014
OpenAlexW4365385398

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.