Evidence map›Paper›PMID 32715300›Full record

ArticleRadiology. Cardiothoracic imaging2020

Coronary CT Angiography and Carotid MRI Improve Phenotyping of Disease Extent Compared with ACC/AHA Risk Score Alone.

Ashley Chorath, Younhee Choi, Evrim B Turkbey, Mark A Ahlman, Christopher T Sibley, Songtao Liu, David A Bluemke, Veit Sandfort

Registry-linked trialOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04834934 (Artificial Intelligence - SARS-CoV-2 Risk Evaluation), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 44% 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.

NCT04834934 completednot on this map

Artificial Intelligence - SARS-CoV-2 Risk Evaluation

TypeobservationalSponsorIRCCS San RaffaeleRan2020 to 2021Enrolled2,000ConditionsCovid19
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ashley ChorathDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).ORCID 0000-0001-6869-510X
Younhee ChoiDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).
Evrim B TurkbeyDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).ORCID 0000-0002-5216-3528
Mark A AhlmanDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).ORCID 0000-0003-3906-2084
Christopher T SibleyDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).
Songtao LiuDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).ORCID 0000-0003-3114-7163
David A BluemkeDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).ORCID 0000-0002-8323-8086
Veit SandfortDepartment of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892-1061 (A.C., Y.C., E.BT., M.A.A., S.L., V.S.); Great Point Health, Portland, Ore (C.T.S.); and Department of Radiology, University of Wisconsin, School of Medicine and Public Health, Madison, Wis (D.A.B.).ORCID 0000-0001-7218-9306
United States Public Health Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the relationship between the American College of Cardiology/American Heart Association (ACC/AHA) risk score and plaque phenotype of the coronary and carotid arteries assessed directly using CT angiography and MRI. MATERIALS AND

methodsAsymptomatic subjects eligible for statin therapy by risk score were enrolled in a prospective study of disease burden using coronary artery calcium (CAC) scoring, coronary CT angiography, and MRI of the carotid arteries. Quartiles were calculated for noncalcified plaque, CAC, and average carotid wall volume and were compared with ACC/AHA risk quartiles.

resultsTwo hundred three subjects were studied (60% men; mean age, 65 years). There were weak correlations between risk and carotid wall volume (Kendall tau = 0.29), noncalcified plaque (tau = 0.16), and CAC (tau = 0.33). ACC/AHA risk alone misclassified plaque extent compared with measurement by carotid wall volume, CAC, and noncalcified plaque in 22.1%, 24.1%, and 29.6% of subjects, respectively. On average, 13% of the subjects were underclassified, and 12.5% were overclassified.

conclusionApproximately 25% of subjects had large discrepancies between ACC/AHA risk and plaque burden at imaging. These results suggest that clinical risk score models alone do not fully reflect the amount of atherosclerotic disease present.© RSNA, 2020See also the commentary by Truong and Villines in this issue.

Identifiers

PMID32715300
PMCPMC7053177
OpenAlexW3006830980

What OpenQuestion holds

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Registered trials

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.