Evidence mapPaperPMID 39013364Full record

ReviewCardiology2025

Efficacy of Diagnostic Testing of Suspected Coronary Artery Disease: A Contemporary Review.

Edward Woods, Josiah Bennett, Sanjay Chandrasekhar, Noah Newman, Affan Rizwan, Rehma Siddiqui, Rabisa Khan, Muzamil Khawaja, Chayakrit Krittanawong

Abstract readReview
In one paragraph

Review in Cardiology, 2025. 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. Coronary computed tomography angiographyWorld journal of cardiology · 2025
    Article
  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

9 authors.

Edward WoodsDepartment of Internal Medicine, Emory University, Atlanta, Georgia, USA.
Josiah BennettDepartment of Internal Medicine, Emory University, Atlanta, Georgia, USA.
Sanjay ChandrasekharDepartment of Internal Medicine, Emory University, Atlanta, Georgia, USA.
Noah NewmanDepartment of Internal Medicine, Emory University, Atlanta, Georgia, USA.
Affan RizwanDepartment of Internal Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Rehma SiddiquiDepartment of Internal Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Rabisa KhanDepartment of Anesthesiology, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Muzamil KhawajaDivision of Cardiology, Emory University, Atlanta, Georgia, USA.
Chayakrit KrittanawongCardiology Division, NYU Langone Health and NYU School of Medicine, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is a highly prevalent condition which can lead to myocardial ischemia as well as acute coronary syndrome. Early diagnosis of CAD can improve patient outcomes through guiding risk factor modification and treatment modalities. SUMMARY: Testing for CAD comes with increased cost and risk; therefore, physicians must determine which patients require testing, and what testing modality will offer the most useful data to diagnose patients with CAD. Patients should have an initial risk stratification for pretest probability of CAD based on symptoms and available clinical data. Patients with a pretest probability less than 5% should receive no further testing, while patients with a high pretest probability should be considered for direct invasive coronary angiography. In patients with a pretest probability between 5 and 15%, coronary artery calcium score and or exercise electrocardiogram can be obtained to further risk stratify patients to low-risk versus intermediate-high-risk. Intermediate-high-risk patients should be tested with coronary computed tomography angiography (preferred) versus positron emission tomography or single photon emission computed tomography based on their individual patient characteristics and institutional availability. KEY MESSAGES: This comprehensive review aimed to describe the available CAD testing modalities, detail their risks and benefits, and propose when each should be considered in the evaluation of a patient with suspected CAD.

backgroundCoronary artery disease (CAD) is a highly prevalent condition which can lead to myocardial ischemia as well as acute coronary syndrome. Early diagnosis of CAD can improve patient outcomes through guiding risk factor modification and treatment modalities. SUMMARY: Testing for CAD comes with increased cost and risk; therefore, physicians must determine which patients require testing, and what testing modality will offer the most useful data to diagnose patients with CAD. Patients should have an initial risk stratification for pretest probability of CAD based on symptoms and available clinical data. Patients with a pretest probability less than 5% should receive no further testing, while patients with a high pretest probability should be considered for direct invasive coronary angiography. In patients with a pretest probability between 5 and 15%, coronary artery calcium score and or exercise electrocardiogram can be obtained to further risk stratify patients to low-risk versus intermediate-high-risk. Intermediate-high-risk patients should be tested with coronary computed tomography angiography (preferred) versus positron emission tomography or single photon emission computed tomography based on their individual patient characteristics and institutional availability. KEY MESSAGES: This comprehensive review aimed to describe the available CAD testing modalities, detail their risks and benefits, and propose when each should be considered in the evaluation of a patient with suspected CAD.

Indexed as

Coronary Artery DiseaseComputed Tomography AngiographyCoronary AngiographyElectrocardiographyExercise TestHumansRisk AssessmentTomography, Emission-Computed, Single-PhotonCoronary artery diseaseDiagnostic testing

Identifiers

PMID39013364
PMCPMC11965859

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.