Evidence map›Paper›PMID 25960825›Full record

ReviewCurrent cardiovascular imaging reports

Management of Coronary Artery Calcium and Coronary CTA Findings.

Dustin M Thomas, Sanjay Divakaran, Todd C Villines, Khurram Nasir, Nishant R Shah, Ahmad M Slim, Ron Blankstein, Michael K Cheezum

Open access · hybridAbstract readReview
In one paragraph

Review in Current cardiovascular imaging reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  3. Guideline
  4. Trial
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  13. Long-Term Prognostic Value of Coronary Computed Tomography Angiography.Current treatment options in cardiovascular medicine · 2017
    Review
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  15. 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

8 authors at 4 institutions in 1 country.

Dustin M ThomasDepartment of Medicine (Cardiology Service), San Antonio Military Medical Center, San Antonio, TX USA.
Sanjay DivakaranDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA USA.
Todd C VillinesDepartment of Medicine (Cardiology Service), Walter Reed National Military Medical Center, Bethesda, MD USA.
Khurram NasirCenter for Prevention and Wellness Research, Baptist Health Medical Group, Miami Beach, FL USA.
Nishant R ShahNoninvasive Cardiovascular Imaging Program, Departments of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital, Boston, MA USA.
Ahmad M SlimDepartment of Medicine (Cardiology Service), San Antonio Military Medical Center, San Antonio, TX USA.
Ron BlanksteinNoninvasive Cardiovascular Imaging Program, Departments of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital, Boston, MA USA.
Michael K CheezumNoninvasive Cardiovascular Imaging Program, Departments of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital, Boston, MA USA ; Non-invasive Cardiovascular Imaging Program, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 USA.
Brigham and Women's Hospital · USSan Antonio Military Medical Center · USBaptist Hospital of Miami · USWalter Reed National Military Medical Center · US

Funding

Noninvasive Cardiovascular Imaging Research Training ProgramT32HL094301 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Marcelo F DI CARLI · 2010 to 2026
$7.8M
NHLBI NIH HHS T32 HL094301
6 · The paper itself

Abstract

Coronary artery calcium (CAC) testing and coronary computed tomography angiography (CTA) have significant data supporting their ability to identify coronary artery disease (CAD) and classify patient risk for atherosclerotic cardiovascular disease (ASCVD). Evidence regarding CAC use for screening has established an excellent prognosis in patients with no detectable CAC, and the ability to risk re-classify the majority of asymptomatic patients considered intermediate risk by traditional risk scores. While data regarding the ideal management of CAC findings are limited, evidence supports statin consideration in patients with CAC > 0 and individualized aspirin therapy accounting for CAD risk factors, CAC severity, and factors which increase a patient's risk of bleeding. In patients with stable or acute symptoms undergoing coronary CTA, a normal CTA predicts excellent prognosis, allowing reassurance and disposition without further testing. When CTA identifies nonobstructive CAD (<50 % stenosis), observational data support consideration of statin use/intensification in patients with extensive plaque (at least four coronary segments involved) and patients with high-risk plaque features. In patients with both nonobstructive and obstructive CAD, multiple studies have now demonstrated an ability of CTA to guide management and improve CAD risk factor control. Still, significant under-treatment of cardiovascular risk factors and high-risk image findings remain, among concerns that CTA may increase invasive angiography and revascularization. To fully realize the impact of atherosclerosis imaging for ASCVD prevention, patient engagement in lifestyle changes and the modification of ASCVD risk factors remain the foundation of care. This review provides an overview of available data and recommendations in the management of CAC and CTA findings.

Indexed as

Acute coronary syndromeatherosclerosisCardiovascular diseaseChest painCoronary artery calciumCoronary CTAHigh risk plaqueIschemic heart diseaseMajor adverse cardiac eventsManagementPrognosis

Identifiers

PMID25960825
PMCPMC4412516
OpenAlexW2108576805

What OpenQuestion holds

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LicenceCC BY
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.