Enhancing predictive accuracy of the 13-item Acute Coronary Syndrome checklist: a novel approach to improving risk assessment and diagnosis

Incorporating weighted factors - shortness of breath severity, sweating severity, and palpitations severity - into the checklist notably enhanced ACS identification. However, it's important to note that this tool, while showing promise, is not intended to serve as a standalone diagnostic tool for ACS. Instead, this tool has the potential to enhance risk assessment and aid in clinical decision-making.

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Publication Details

Journal
Acta cardiologica. Supplementum
Published
2025-03-18
DOI
https://doi.org/10.1080/00015385.2025.2480958
Citations
1
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
1.39
Controls
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article

Enhancing predictive accuracy of the 13-item Acute Coronary Syndrome checklist: a novel approach to improving risk assessment and diagnosis

Mohammad Reza Armat, Samaneh Tabaee, Mohammad Sahebkar, Sarina Ramtin et al.
1 citations
Acta cardiologica. Supplementum
Acute Myocardial Infarction Research
1.39
article

Enhancing predictive accuracy of the 13-item Acute Coronary Syndrome checklist: a novel approach to improving risk assessment and diagnosis

Mohammad Reza Armat, Samaneh Tabaee, Mohammad Sahebkar, Sarina Ramtin, Abdolghader Assarroudi, Najme Lagzian
article en
1 citations

Abstract

Incorporating weighted factors - shortness of breath severity, sweating severity, and palpitations severity - into the checklist notably enhanced ACS identification. However, it's important to note that this tool, while showing promise, is not intended to serve as a standalone diagnostic tool for ACS. Instead, this tool has the potential to enhance risk assessment and aid in clinical decision-making.

Acta cardiologica. SupplementumVol. 80(5)
University of Neyshabur (IR), University of Ottawa (CA), Iranshahr University (IR), North Khorasan University of Medical Sciences (IR), Sabzevar University of Medical Sciences (IR), Non-Communicable Diseases Research Center
Openalex Percentile: Top 22%
Acute Myocardial Infarction Research
1.39
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