Evidence map›Paper›PMID 39214533›Full record

ArticleOpen heart2024

Use of downstream stress imaging tests for risk stratification of patients presenting to the emergency department with chest pain and low HEART score.

Rami M Abazid, Nilkanth Patil, Maged Elrayes, Sameh Awadallah, Mohamed M Ibrahim, Amer Alaref, Yves Bureau, Cigdem Akincioglu, Rodrigo Bagur, Nikolaos Tzemos

Abstract read
In one paragraph

Article in Open heart, 2024. 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
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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

10 authors.

Rami M AbazidDepartment of Medicine, Northern Ontario School of Medicine (NOSM) University, Sault Ste Marie, Ontario, Canada.ORCID 0000-0002-8504-1930
Nilkanth PatilDepartment of Cardiology, Asian Institute of Gastroenterology (AIG) Hospitals, Gachibowli, Hyderabad, India.
Maged ElrayesDepartment of medicine, Dividion of Cardiology, London Health Sciences Centre, London, Ontario, Canada.
Sameh AwadallahDepartment of medicine, Dividion of Cardiology, London Health Sciences Centre, London, Ontario, Canada.
Mohamed M IbrahimDepartment of Medicine, Northern Ontario School of Medicine (NOSM) University, Sudbury, Ontario, Canada.
Amer AlarefDepartment of Medicine, Northern Ontario School of Medicine (NOSM) University, Thunderbay, Ontario, Canada.
Yves BureauDepartment of Psychology, London Health Sciences Centre, London, Ontario, Canada.
Cigdem AkinciogluDepartment of Medical Imaging, Dividion of Nuclear Medicine, London Health Sciences Centre, London, Ontario, Canada.
Rodrigo BagurDepartment of medicine, Dividion of Cardiology, London Health Sciences Centre, London, Ontario, Canada.
Nikolaos TzemosDepartment of medicine, Dividion of Cardiology, London Health Sciences Centre, London, Ontario, Canada Niko.Tzemos@lhsc.on.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with low HEART (History, Electrocardiogram, Age, Risk factors, and Troponin level) risk scores who are discharged from the emergency department (ED) may present clinical challenges and diagnostic dilemmas. The use of downstream non-invasive stress imaging (NISI) tests in this population remains uncertain. Therefore, this study aims to investigate the value of NISI in risk stratification and predicting cardiac events in patients with low-risk HEART scores (LRHSs).

methodsWe prospectively included 1384 patients with LRHSs between March 2019 and March 2021. All the patients underwent NISI (involving myocardial perfusion imaging/stress echocardiography). The primary endpoints included cardiac death, non-fatal myocardial infarction and unplanned coronary revascularisation. Secondary endpoints encompassed cardiovascular-related admissions or ED visits.

resultsThe mean patient age was 64±14 years, with 670 (48.4%) being women. During the 634±104 days of follow-up, 58 (4.2%) patients experienced 62 types of primary endpoints, while 60 (4.3%) developed secondary endpoints. Multivariable Cox models, adjusted for clinical and imaging variables, showed that diabetes (HR: 2.38; p=0.008), HEART score of 3 (HR: 1.32; p=0.01), history of coronary artery disease (HR: 2.75; p=0.003), ECG changes (HR: 5.11; p<0.0001) and abnormal NISI (HR: 16.4; p<0.0001) were primary endpoint predictors, while abnormal NISI was a predictor of secondary endpoints (HR: 3.05; p<0.0001).

conclusionsNISI significantly predicted primary cardiac events and cardiovascular-related readmissions/ED visits in patients with LRHSs.

Indexed as

Chest PainEchocardiography, StressEmergency Service, HospitalAgedCoronary Artery DiseaseElectrocardiographyFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentChest PainEchocardiographyTomography, Emission-Computed, Single-Photon

Identifiers

PMID39214533
PMCPMC11367375

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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.