ReviewCardiology research and practice2026
Myocarditis in the Modern Era: Navigating Diagnosis, Innovative Treatments, the COVID-19 Challenge and the Role of Artificial Intelligence.
Review in Cardiology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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0 citing papers in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myocarditis is an inflammatory disease of the myocardium with diverse aetiologies, ranging from infections and autoimmune processes to drug-induced reactions. Clinical manifestations vary widely from mild chest discomfort to life-threatening complications such as acute heart failure, cardiogenic shock and sudden cardiac death. Although the diagnosis of myocarditis historically relied heavily on invasive biopsy, recent advances in noninvasive imaging modalities, notably cardiac magnetic resonance (CMR) imaging, have transformed clinical practice. The Lake Louise Criteria (LLC), supplemented by parametric imaging techniques, have significantly enhanced diagnostic accuracy. Furthermore, the emergence of COVID-19 has renewed interest in myocarditis due to its association with viral-induced myocardial injury. This review synthesises the current understanding of myocarditis, including epidemiological insights, its diverse aetiologies, diagnostic innovations including the importance of viral load quantification and contemporary management strategies.
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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 Socratic graph.