Evidence map›Paper›PMID 33423941›Full record

ArticleJournal of cardiovascular computed tomography

Reproducibility of quantitative plaque measurement in advanced coronary artery disease.

Mohammed N Meah, Trisha Singh, Michelle C Williams, Marc R Dweck, David E Newby, Piotr Slomka, Philip D Adamson, Alastair J Moss, Damini Dey

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

9 authors at 3 institutions in 3 countries.

Mohammed N MeahBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK. Electronic address: m.meah@ed.ac.uk.
Trisha SinghBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Michelle C WilliamsBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Marc R DweckBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
David E NewbyBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Piotr SlomkaDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Philip D AdamsonBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK; Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Alastair J MossBritish Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK; British Heart Foundation Cardiovascular Research Centre. University of Leicester, Leicester, UK.
Damini DeyDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
University of Edinburgh · GBBritish Heart Foundation · GBCedars-Sinai Medical Center · US

Funding

Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT AngiographyR01HL148787 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2020 to 2023
$3.0M
British Heart Foundation CH/09/002/26360British Heart Foundation FS/19/46/34445British Heart Foundation FS/ICRF/20/26002British Heart Foundation RG/16/10/32375Medical Research Council G0701127Medical Research Council MR/T029153/1NHLBI NIH HHS R01 HL148787Wellcome Trust
6 · The paper itself

Abstract

backgroundThe ability to characterize and to quantify the extent of coronary artery disease has the potential to improve the prognostic capability of coronary computed tomography angiography. Although reproducible techniques have been described in those with mild coronary disease, this has yet to be assessed in patients with advanced disease.

methodsTwenty patients with known multivessel disease underwent repeated computed tomography coronary angiography, 2 weeks apart. Coronary artery segments were analysed using semi-automated software by two trained observers to determine intraobserver, interobserver and interscan reproducibility.

resultsOverall, 149 coronary arterial segments were analysed. There was excellent intraobserver and interobserver agreement for all plaque volume measurements (Lin's coefficient 0.95 to 1.0). There were no substantial interscan differences (P ​> ​0.05 for all) for total (2063 ​± ​1246 ​mm

conclusionIn the presence of advanced coronary disease, semi-automated plaque quantification provides excellent reproducibility, particularly for total and non-calcified plaque volumes. This approach has major potential to assess change in disease over time and optimize risk stratification in patients with established coronary artery disease.

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsReproducibility of ResultsAtherosclerosisComputed tomography coronary angiographyLow-attenuation plaqueQuantitative plaque analysisReproducibility

Identifiers

PMID33423941
PMCPMC8236495
OpenAlexW3116538736

What OpenQuestion holds

Textmetadata
LicenceTDM
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.