Evidence map›Paper›PMID 24293041›Full record

ArticleThe international journal of cardiovascular imaging2014

Epicardial adipose tissue: relationship between measurement location and metabolic syndrome.

Ju-Hye Chung, Beom-June Kwon, Sang-Wook Song, Sun-Myeong Ock, Whan-Seok Choi, Se-Hong Kim

Abstract read
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 at 3 institutions in 3 countries.

Ju-Hye ChungDepartment of Family Medicine, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 271, Cheon Bo-ro, Uijeong bu-si, Gyeonggi-do, 480-717, Korea.
Beom-June Kwon
Sang-Wook Song
Sun-Myeong Ock
Whan-Seok Choi
Se-Hong Kim
Catholic University of Korea · KRSt Mary's Hospital · GBThe Catholic University of Korea St. Vincent's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epicardial adipose tissue (EAT) is a contributing factor of metabolic syndrome (MS) and coronary artery disease (CAD). However, it is still unclear which measurement location of EAT area best reflects its cardiometabolic risk. The purpose of our study was to investigate the distribution of EAT and its relationship to the total EAT volume and MS. To assess volume and cross-sectional areas of EAT, coronary CT angiography were obtained in 256 asymptomatic subjects. The EAT areas within the threshold range of -190 to -30 Hounsfield units were measured at six representative slices. Correlations between single slice EAT areas and total EAT volumes were high across all measurement locations (correlation coefficient r > 0.80). The receiver-operator characteristic curves demonstrated EAT area at left main coronary artery (LMCA) was well discriminative for MS (AUC 0.82, p < 0.001) and CAD (AUC 0.76, p < 0.001). EAT areas across all measurement locations were significantly increased linearly with increasing number of MS components. EAT areas were significantly associated with MS at all measurement locations; the highest odds ratio (OR) between EAT area and MS was at the LMCA level (OR 5.86, p < 0.001). The OR between EAT area and coronary artery calcium was also significant in LMCA locations (OR 1.56, p = 0.042). We demonstrated that the single-slice EAT area measurement is a simple and reliable method compared with time-consuming volumetric measurements. The EAT area at LMCA level was the best single slice representing the risk of metabolic syndrome and coronary atherosclerosis.

Indexed as

Multidetector Computed TomographyAdipose TissueAgedArea Under CurveCoronary AngiographyCoronary Artery DiseaseFemaleHumansLogistic ModelsMaleMetabolic SyndromeMiddle AgedOdds RatioPericardiumPredictive Value of TestsReproducibility of Results

Identifiers

PMID24293041
OpenAlexW2012493838

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.