ReviewOpen access emergency medicine : OAEM2024
Chest Pain Risk Stratification in the Emergency Department: Current Perspectives.
Review in Open access emergency medicine : OAEM, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed.
- Predictive Performance of the HEART Score for Acute Coronary Syndrome with Significant Coronary Stenosis in Patients with Non-ST-Elevation Acute Chest Pain.Journal of cardiovascular development and disease · 2026Article
- Clinical and Economic Implications of High-Sensitivity Troponin-Informed Admission Strategies in Non-AMI Chest Pain.Journal of cardiovascular development and disease · 2026Article
- Chest pain unit implementation in a multidisciplinary hospital: a retrospective observational study.Frontiers in cardiovascular medicine · 2026Article
- Time for a New Whole-Person Care Pathway for Chest Pain Admissions.HCA healthcare journal of medicine · 2026Article
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- Epipericardial fat necrosis, the overlooked culprit behind chest pain: a case report.Journal of medical case reports · 2025Article
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- Article
- When chest pain is not what it seems: time for right diagnosis and right treatment-a case report.European heart journal. Case reports · 2025Article
- The Role of the Inflammatory Prognostic Index in Patients with Non-ST Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention.Journal of clinical medicine · 2025Article
- Circulating MicroRNA-1 for the early prediction of unstable angina and the value of second coronary angiography in type 2 diabetes patients with chest pain and no ST-T changes on electrocardiograms.BMC cardiovascular disorders · 2025Article
- Observational
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chest pain is the second leading cause of all emergency department (ED) visits in adults in the United States, with nearly 11 million encounters yearly. While identifying low-risk patients is crucial for early discharge, identifying high-risk patients in ED is vital in timely and appropriate acute coronary syndrome (ACS) management. Traditional methods such as physical examination, cardiac markers, or imaging tests cannot reliably confirm or rule out ACS; they cannot be singularly incorporated to risk stratify patients. Various clinical risk scores have been proposed to address this challenge for risk stratification in patients being evaluated for suspected ACS. The ideal risk score should demonstrate high sensitivity and specificity to accurately differentiate between patients with varying levels of risk, particularly in identifying those at high risk for major adverse cardiovascular events. Simultaneously, an ideal scoring system should also be able to compute information for other non-coronary etiologies of chest pain that require time-sensitive interventions and workups (eg, aortic dissection and pulmonary embolism). In this review, we have assembled major risk scores used for risk stratification in patients with acute chest pain in ED. We have abbreviated their salient features to assist readers in their clinical decision-making.
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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.