Evidence map›Paper›PMID 30407249›Full record

ArticleJournal of computer assisted tomography

Assessing the Relationship Between American Heart Association Atherosclerotic Cardiovascular Disease Risk Score and Coronary Artery Imaging Findings.

Ying Li, Guangming Zhu, Victoria Ding, Bin Jiang, Robyn L Ball, Neera Ahuja, Fatima Rodriguez, Dominik Fleischmann, Manisha Desai, David Saloner and 3 more

Abstract read
In one paragraph

Article in Journal of computer assisted tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

13 authors.

Ying Li
Guangming Zhu
Victoria DingDepartment of Medicine, Quantitative Sciences Unit, and.
Bin Jiang
Robyn L BallDepartment of Neurology, PLA Army General Hospital, Beijing, China.
Neera AhujaDepartment of Medicine, Stanford University School of Medicine.
Fatima RodriguezDivision of Cardiovascular Medicine, Stanford University.
Dominik FleischmannDepartment of Radiology, Cardiovascular Imaging Section, Stanford University School of Medicine, Palo Alto.
Manisha DesaiDepartment of Neurology, PLA Army General Hospital, Beijing, China.
David SalonerDepartment of Radiology, University of California San Francisco, San Francisco, CA.
Luca SabaDipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.
Max Wintermark
Jason HomDepartment of Medicine, Stanford University School of Medicine.

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

objectiveThe aim of this study was to characterize the relationship between computed tomography angiography imaging characteristics of coronary artery and atherosclerotic cardiovascular disease (ASCVD) score.

methodsWe retrospectively identified all patients who underwent a coronary computed tomography angiography at our institution from December 2013 to July 2016, then we calculated the 10-year ASCVD score. We characterized the relationship between coronary artery imaging findings and ASCVD risk score.

resultsOne hundred fifty-one patients met our inclusion criteria. Patients with a 10-year ASCVD score of 7.5% or greater had significantly more arterial segments showing stenosis (46.4%, P = 0.008) and significantly higher maximal plaque thickness (1.25 vs 0.53, P = 0.001). However, among 56 patients with a 10-year ASCVD score of 7.5% or greater, 30 (53.6%) had no arterial stenosis. Furthermore, among the patients with a 10-year ASCVD score of less than 7.5%, 24 (25.3%) had some arterial stenosis.

conclusionsThere is some concordance but not a perfect overlap between 10-year ASCVD risk scores and coronary artery imaging findings.

Indexed as

AdultAgedAmerican Heart AssociationComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness Index

Identifiers

PMID30407249
PMCPMC8117170

What OpenQuestion holds

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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.