Evidence map›Paper›PMID 39335775›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Computed Tomography Evaluation of Coronary Atherosclerosis: The Road Travelled, and What Lies Ahead.

Chadi Ayoub, Isabel G Scalia, Nandan S Anavekar, Reza Arsanjani, Clinton E Jokerst, Benjamin J W Chow, Leonard Kritharides

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Chadi AyoubDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.
Isabel G ScaliaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-6459-9767
Nandan S AnavekarDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Reza ArsanjaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0001-7081-4286
Clinton E JokerstDepartment of Radiology, Mayo Clinic, Phoenix, AZ 58054, USA.
Benjamin J W ChowDepartment of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, ON K1Y 4W7, Canada.
Leonard KritharidesDepartment of Cardiology, Concord Hospital, Sydney Local Health District, Concord, NSW 2137, Australia.ORCID 0000-0001-5818-8024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary CT angiography (CCTA) is now endorsed by all major cardiology guidelines for the investigation of chest pain and assessment for coronary artery disease (CAD) in appropriately selected patients. CAD is a leading cause of morbidity and mortality. There is extensive literature to support CCTA diagnostic and prognostic value both for stable and acute symptoms. It enables rapid and cost-effective rule-out of CAD, and permits quantification and characterization of coronary plaque and associated significance. In this comprehensive review, we detail the road traveled as CCTA evolved to include quantitative assessment of plaque stenosis and extent, characterization of plaque characteristics including high-risk features, functional assessment including fractional flow reserve-CT (FFR-CT), and CT perfusion techniques. The state of current guideline recommendations and clinical applications are reviewed, as well as future directions in the rapidly advancing field of CT technology, including photon counting and applications of artificial intelligence (AI).

Indexed as

artificial intelligencecoronary artery calcium scoringcoronary artery diseasecoronary computed tomography angiography

Identifiers

PMID39335775
PMCPMC11431535

What Socratic holds

Textmetadata
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 Socratic graph.