Evidence map›Paper›PMID 27672064›Full record

ArticleThe international journal of cardiovascular imaging2017

Ethnic differences in coronary plaque and epicardial fat volume quantified using computed tomography.

Daniel B Adams, Om Narayan, Ravi Kiran Munnur, James D Cameron, Dennis T L Wong, Andrew H Talman, Richard W Harper, Sujith K Seneviratne, Ian T Meredith, Brian S Ko

Abstract readComparative Study
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Synergistic Effect of the CHATherapeutics and clinical risk management · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Epicardial Adipose Tissue: Clinical Biomarker of Cardio-Metabolic Risk.International journal of molecular sciences · 2019
    Review
  13. Article
  14. 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

10 authors.

Daniel B AdamsDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Om NarayanDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Ravi Kiran MunnurDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
James D CameronDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Dennis T L WongDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Andrew H TalmanDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Richard W HarperDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Sujith K SeneviratneDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Ian T MeredithDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia.
Brian S KoDepartment of Medicine Monash Medical Centre (MMC), Monash Cardiovascular Research Centre, MonashHEART, Monash Health and Monash University, Melbourne, Australia. brianshiuhangko@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies observed a higher prevalence of coronary atherosclerosis in South Asians when compared to Caucasians, but quantitative computed tomography differences in aggregate plaque volume (APV) and epicardial fat volume (EFV) between South Asians, Southeast or East Asians (SEEAs) and Caucasians remain unknown. We aimed to compare APV and EFV quantified on computed-tomographic-coronary-angiography (CTCA) between South Asian, SEEA and Caucasian populations residing in Australia. Age, gender and body-mass-index matched subjects from three ethnic groups who underwent clinically indicated 320-detector CTCA were retrospectively analysed. Percentage APV in the first 5 cm of the left anterior descending artery (LAD) and EFV were quantified using dedicated software (Vital Images, USA). One-hundred-and-fifty subjects (average age = 57.7 years, 56 % male, n = 50 in each ethnic group) were analysed. Mean LAD percentage APV was highest in South Asians (44.5 ± 8.4 % vs. 37.5 ± 6.5 % in SEEAs and 39.5 ± 6.4 % in Caucasians, P = 0.00001). South Asian ethnicity predicted LAD APV above traditional risk factors on multivariate analysis (P = 0.000002). EFV was significantly higher in both South Asians (103.2 ± 41.7 cm

Indexed as

Asian PeopleComputed Tomography AngiographyMultidetector Computed TomographyPlaque, AtheroscleroticWhite PeopleAdipose TissueAdiposityAdolescentAdultAgedAged, 80 and overChi-Square DistributionCoronary AngiographyCoronary Artery DiseaseCoronary VesselsDatabases, FactualAggregate plaque volumeCoronary artery diseaseCT coronary angiographyEpicardial fatEthnicitySouth Asian

Identifiers

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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.