ReviewArchives of academic emergency medicine2022
From Q/Non-Q Myocardial Infarction to STEMI/NSTEMI: Why It's Time to Consider Another Simplified Dichotomy; a Narrative Literature Review.
Review in Archives of academic emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- OMI: time for early recognition and management of acute coronary occlusion.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026Article
- Electronic medical record-based causal network modeling for acute myocardial infarction diagnosis in the emergency department.iScience · 2026Article
- A case series of OMI: time for revisiting STEMI/NSTEMI ECG criteria.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025Article
- Article
- Reevaluating STEMI: The Utility of the Occlusive Myocardial Infarction Classification to Enhance Management of Acute Coronary Syndromes.Current cardiology reports · 2025Review
- Impact of Newly Diagnosed Left Bundle Branch Block on Long-Term Outcomes in Patients with STEMI.Journal of clinical medicine · 2024Article
- Unveiling Cardiovascular Outcomes: A Comparative Analysis of CABG Recipients versus Non-CABG Patients in the Management of Acute Coronary Syndrome (ACS).Galen medical journal · 2024Article
- The Roles of microRNAs in the Cardiovascular System.International journal of molecular sciences · 2023Review
- Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.Nature medicine · 2023Observational
- Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact.Research square · 2023Article
- Contributions of Pathobiological and Translational Science to Understanding and Managing Ischemic Heart Disease: Progress, Impediments, and Future Directions.Texas Heart Institute journalReview
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute coronary syndromes (ACSs) are classified as ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) based on the presence of guideline-recommended ST-segment elevation (STE) criteria on the electrocardiogram (ECG). STEMI is associated with acute total coronary occlusion (ATO) and transmural myocardial necrosis and is managed with emergent reperfusion therapy, and NSTEMI is supposedly synonymous with subendocardial myocardial infarction without ATO. However, coronary angiograms reveal that a significant proportion of patients with NSTEMI have ATO. Here, we review articles that studied the frequency and cardiovascular outcomes of ATO in NSTEMI patients compared with those without ATO. We discuss ECG patterns of patients with suspected acute myocardial infarction that do not fulfill STEMI criteria but are associated with ATO. Under-recognition of these atypical patterns results in delays to reperfusion therapy. We also advocate revision of the current STEMI/NSTEMI paradigm because consideration of STE, by itself, out of context of other clinical and ECG features, leads to the ECG diagnosis of STEMI when the ECG actually represents a mimic ["Pseudo-STEMI"], and suggest renaming the ACSs classification as the Occlusion Myocardial Infarction (OMI)/Non-Occlusion Myocardial Infarction (NOMI) paradigm.
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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.