Evidence map›Paper›PMID 24723554›Full record

ReviewArteriosclerosis, thrombosis, and vascular biology2014

Role of computed tomography for diagnosis and risk stratification of patients with suspected or known coronary artery disease.

Dan K Kalra, Ran Heo, Valentina Valenti, Ryo Nakazato, James K Min

Open access · bronzeAbstract readReview
In one paragraph

Review in Arteriosclerosis, thrombosis, and vascular biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Systems Biology and Noninvasive Imaging of Atherosclerosis.Arteriosclerosis, thrombosis, and vascular biology · 2016
    Review
  9. Article
  10. 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

5 authors at 1 institution in 2 countries.

Dan K KalraFrom the Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY (D.K.K., R.H., V.V., J.K.M.); and Cardiovascular Center, St Luke's International Hospital, Tokyo, Japan (R.N.).
Ran HeoFrom the Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY (D.K.K., R.H., V.V., J.K.M.); and Cardiovascular Center, St Luke's International Hospital, Tokyo, Japan (R.N.).
Valentina ValentiFrom the Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY (D.K.K., R.H., V.V., J.K.M.); and Cardiovascular Center, St Luke's International Hospital, Tokyo, Japan (R.N.).
Ryo NakazatoFrom the Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY (D.K.K., R.H., V.V., J.K.M.); and Cardiovascular Center, St Luke's International Hospital, Tokyo, Japan (R.N.).
James K MinFrom the Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY (D.K.K., R.H., V.V., J.K.M.); and Cardiovascular Center, St Luke's International Hospital, Tokyo, Japan (R.N.). jkm2001@med.cornell.edu.
Cornell University · US

Funding

Patient-Specific Coronary Hemodynamics by 3D PrintingR01HL118019 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DUNHAM, SIMON, LIN, FAY YU-HUEI · 2013 to 2022
$5.8M
Gender-Specific Coronary Plaque Characteristics and Risk of Myocardial InfarctionR01HL115150 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MIN, JAMES K · 2012 to 2016
$3.5M
NHLBI NIH HHS R01 HL115150NHLBI NIH HHS R01HL115150NHLBI NIH HHS R01 HL118019NHLBI NIH HHS R01HL118019
6 · The paper itself

Abstract

Cardiac computed tomographic angiography (CCTA) has emerged as a powerful imaging modality for the detection and prognostication of individuals with suspected coronary artery disease. Because calcification of coronary plaque occurs in proportion to the total atheroma volume, the initial diagnostic potential of CCTA focused on the identification and quantification of coronary calcium in low- to intermediate-risk individuals, a finding that tracks precisely with the risk of incident adverse clinical events. Beyond noncontrast detection of coronary calcium, CCTA using iodinated contrast yields incremental information about the degree and distribution of coronary plaques and stenosis, as well as vessel wall morphology and atherosclerotic plaque features. This additive information offers the promise of CCTA to provide a more comprehensive view of total atherosclerotic burden because it relates to myocardial ischemia and future adverse clinical events. Furthermore, emerging data suggest the prognostic and diagnostic importance of stenosis severity detection and atherosclerotic plaque features described by CCTA including positive remodeling, low-attenuation plaque, and spotty calcification, which have been associated with the vulnerability of plaque. We report a summary of the evidence supporting the role of CCTA in the detection of subclinical and clinical coronary artery disease in both asymptomatic and symptomatic patients and discuss the potential of CCTA to augment the identification of at-risk individuals. CCTA and coronary artery calcium scoring offer the ability to improve risk stratification, discrimination, and reclassification of the risk in patients with suspected coronary artery disease and to noninvasively determine the measures of stenosis severity and atherosclerotic plaque features.

Indexed as

Acute Chest SyndromeCalciumCoronary AngiographyCoronary Artery DiseaseHumansPlaque, AtheroscleroticPrognosisRiskTomography, X-Ray ComputedVascular CalcificationCalciumcoronary artery disease

Identifiers

PMID24723554
PMCPMC4120118
OpenAlexW2163150485

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.