Evidence map›Paper›PMID 41737256›Full record

ArticleCJC open2026

Improving Stress Echocardiography for Enhanced Detection of Left Main and Multivessel Coronary Artery Disease.

Kevin Haddad, Andrei Lucian Ionescu, Radbod Pilehvar, Laurie-Anne Boivin-Proulx, Giovanni Romanelli, Brian J Potter, Alexis Matteau, Mohamad J Mansour, Samer Mansour

Abstract read
In one paragraph

Article in CJC open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kevin HaddadCentre Hospitalier de l'Université de Montréal (CHUM), Division of Cardiology, Department of Medicine, CHUM Research Center, Montreal, Quebec, Canada.
Andrei Lucian IonescuCentre Hospitalier de l'Université de Montréal (CHUM), Division of Cardiology, Department of Medicine, CHUM Research Center, Montreal, Quebec, Canada.
Radbod PilehvarCentre Hospitalier de l'Université de Montréal (CHUM), Division of Cardiology, Department of Medicine, CHUM Research Center, Montreal, Quebec, Canada.
Laurie-Anne Boivin-ProulxUniversity of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Giovanni RomanelliCentre Hospitalier de l'Université de Montréal (CHUM), Division of Cardiology, Department of Medicine, CHUM Research Center, Montreal, Quebec, Canada.
Brian J PotterCentre Hospitalier de l'Université de Montréal (CHUM), Division of Cardiology, Department of Medicine, CHUM Research Center, Montreal, Quebec, Canada.
Alexis MatteauCentre Hospitalier de l'Université de Montréal (CHUM), Division of Cardiology, Department of Medicine, CHUM Research Center, Montreal, Quebec, Canada.
Mohamad J MansourClemenceau Medical Centre affiliated with Johns Hopkins International, Beirut, Lebanon.
Samer MansourCentre Hospitalier de l'Université de Montréal (CHUM), Division of Cardiology, Department of Medicine, CHUM Research Center, Montreal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stress echocardiography (SE) is a well established method for diagnosing and assessing coronary artery disease (CAD). However, accurately identifying high-risk patients remains a challenge. The aim of the study is to explore the potential of novel predictors to enhance the diagnostic precision of SE for detecting left-main or triple-vessel CAD. Methods: We included consecutive patients who underwent invasive coronary angiography within 6 months of SE between January 2018 and April 2022. Traditional high-risk SE features included extensive wall-motion abnormalities, a reduction in left ventricular ejection fraction Results: Of the 257 patients (mean age 66 ± 9 years) included in the analysis, 53 (21%) had high-risk CAD. Multivariate analyses identified traditional high-risk SE features, as well as ≥ 5% absolute reduction in GLS, as independent predictors of high-risk anatomy. Integrating Conclusions: In a real-world cohort, adding the change in GLS with exercise stress can improve the performance of SE for the detection of high-risk CAD.

Indexed as

Coronary artery diseasediagnostic performanceglobal longitudinal strainleft mainstress echocardiographytriple vessel disease

Identifiers

PMID41737256
PMCPMC12925801

What OpenQuestion holds

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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.