Evidence map›Paper›PMID 31609291›Full record

ArticleJournal of computer assisted tomography

Carotid Artery Imaging Is More Strongly Associated With the 10-Year Atherosclerotic Cardiovascular Disease Score Than Coronary Artery Imaging.

Ying Li, Guangming Zhu, Victoria Ding, Bin Jiang, Derek Boothroyd, Fatima Rodriguez, Dominik Fleischmann, Manisha Desai, David Saloner, Luca Saba and 2 more

Open access · greenAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 2 countries.

Ying LiFrom the Neuroradiology Section, Department of Radiology.
Guangming ZhuFrom the Neuroradiology Section, Department of Radiology.
Victoria DingQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine.
Bin JiangFrom the Neuroradiology Section, Department of Radiology.
Derek BoothroydQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine.
Fatima RodriguezDivision of Cardiovascular Medicine, Stanford University.
Dominik FleischmannCardiovascular Imaging Section, Department of Radiology, Stanford University School of Medicine, Palo Alto.
Manisha DesaiQuantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine.
David SalonerDepartment of Radiology, University of California San Francisco, San Francisco, California.
Luca SabaDipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.
Jason HomDepartment of Medicine, Stanford University School of Medicine, Palo Alto, California.
Max WintermarkFrom the Neuroradiology Section, Department of Radiology.
Stanford University · USAzienda Ospedaliero-Universitaria Cagliari · ITUniversity of California, San Francisco · US

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

purposeThe aim of this study was to compare coronary and carotid artery imaging and determine which one shows the strongest association with atherosclerotic cardiovascular disease (ASCVD) score. PATIENTS AND

methodsTwo separate series patients who underwent either coronary computed tomography angiography (CTA) or carotid CTA were included. We recorded the ASCVD scores and assessed the CTA imaging. Two thirds were used to build predictive models, and the remaining one third generated predicted ASCVD scores. The Bland-Altman analysis analyzed the concordance.

resultsA total of 110 patients were included in each group. There was no significant difference between clinical characteristics. Three imaging variables were included in the carotid model. Two coronary models (presence of calcium or Agatston score) were created. The bias between true and predicted ASCVD scores was 0.37 ± 5.72% on the carotid model, and 2.07 ± 7.18% and 2.47 ± 7.82% on coronary artery models, respectively.

conclusionsBoth carotid and coronary artery imaging features can predict ASCVD score. The carotid artery was more associated to the ASCVD score than the coronary artery.

Indexed as

AgedAtherosclerosisCardiovascular DiseasesCarotid Artery DiseasesComputed Tomography AngiographyContrast MediaCoronary AngiographyCoronary VesselsFemaleHumansIopamidolMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentContrast MediaIopamidol

Identifiers

PMID31609291
PMCPMC8063719
OpenAlexW2972948449

What Socratic 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 Socratic graph.