Evidence map›Paper›PMID 39131228›Full record

ArticleJournal of the Society for Cardiovascular Angiography & Interventions2024

Using Artificial Intelligence to Optimize the Use of Cardiac Investigations in Patients With Suspected Coronary Artery Disease.

J D Schwalm, Tej Sheth, Natalia Pinilla-Echeverri, Jeremy Petch

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Society for Cardiovascular Angiography & Interventions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06648239 (Coronary Computed Tomographic Angiography to Optimize Diagnostic Yield of Invasive Angiography for Low-risk Patients Screened With Artificial Intelligence), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT06648239 nacompletednot on this mapstarted 2025, after this paper: background citation

Coronary Computed Tomographic Angiography to Optimize Diagnostic Yield of Invasive Angiography for Low-risk Patients Screened With Artificial Intelligence

TypeinterventionalSponsorHamilton Health Sciences CorporationRan2025 to 2026Enrolled251ConditionsCoronary Artery DiseaseArmsUsual Care, Centralized triage with risk score-based screening for obstructive CAD
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    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

4 authors.

J D SchwalmPopulation Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.
Tej ShethPopulation Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.
Natalia Pinilla-EcheverriPopulation Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.
Jeremy PetchPopulation Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

coronary angiographycoronary artery diseasecoronary computed tomographic angiographymachine learningprediction model

Identifiers

PMID39131228
PMCPMC11307411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.