Evidence map›Paper›PMID 28550587›Full record

ArticleThe international journal of cardiovascular imaging2017

Epicardial adipose tissue is associated with high-risk plaque feature progression in non-culprit lesions.

Yahang Tan, Jia Zhou, Ying Zhou, Xiaobo Yang, Jing Wang, Yundai Chen

Abstract read
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

6 authors.

Yahang TanDepartment of Cardiology, Chinese PLA General Hospital, Beijing, 100853, China.
Jia ZhouDepartment of Cardiology, Chinese PLA General Hospital, Beijing, 100853, China.
Ying ZhouDepartment of Cardiology, Chinese PLA General Hospital, Beijing, 100853, China.
Xiaobo YangDepartment of Cardiology, Chinese PLA General Hospital, Beijing, 100853, China.
Jing WangDepartment of Cardiology, Chinese PLA General Hospital, Beijing, 100853, China.
Yundai ChenDepartment of Cardiology, Chinese PLA General Hospital, Beijing, 100853, China. cyundai@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have suggested a link between epicardial adipose tissue (EAT) volume and high-risk plaques (HRPs); however, little is known about the association between EAT volume and HRP progression in non-culprit lesions (NCLs). Therefore, we evaluated whether EAT can independently predict HRP characteristic progression in NCLs by coronary computed tomography angiography (CCTA). In this single-centre trial, we analysed 131 consecutive patients (median age 61 years, male 72.52%) undergoing CCTA with percutaneous coronary intervention (PCI) for culprit lesions. All patients were scheduled to undergo follow-up CCTA 12 months after PCI. HRP features, including positive remodelling, low attenuation plaque, spotty calcification, and napkin-ring sign, along with EAT volume, were assessed by CCTA. The numbers of HRP features were compared between baseline and follow-up CCTA to detect HRP progression in NCLs, and patients were classified into two groups based on HRP progression. Logistic regression analysis was used to evaluate whether EAT volume was independently associated with HRP progression in NCLs. Overall, 23 of 131 patients who underwent two CCTAs exhibited HRP progression in NCLs (17.6%). Logistic regression analysis showed that a higher baseline EAT volume was associated with NCL HRP progression (odds ratio 1.019, 95% confidence interval 1.009-1.029, P < 0.001). The cut-off value for baseline EAT volume for NCL HRP progression was 107 ml based on receiver-operator characteristic curve analyses, and the area under the curve was 0.66. Baseline EAT volume was identified as an independent predictor of NCL HRP progression.

Indexed as

Computed Tomography AngiographyPlaque, AtheroscleroticAdipose TissueAgedArea Under CurveChinaChi-Square DistributionCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansLogistic ModelsMaleMiddle AgedObserver VariationCoronary computed tomography angiographyEpicardial adipose tissueHigh-risk plaque progressionNon-culprit lesion

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.