Evidence mapPaperPMID 42577662Full record

ReviewCardiology research and practice2026

Myocarditis in the Modern Era: Navigating Diagnosis, Innovative Treatments, the COVID-19 Challenge and the Role of Artificial Intelligence.

Kevin Mohee, Ibrahim Antoun, Robert Ambrogetti, Mahmoud Eldesouky, Riyaz Somani, André Ng, Sanjay S Bhandari

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

7 authors.

Kevin MoheeDepartment of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK, nhs.uk.
Ibrahim AntounDepartment of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK, nhs.uk.
Robert AmbrogettiDepartment of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK, nhs.uk.ORCID https://orcid.org/0000-0002-3698-7615
Mahmoud EldesoukyDepartment of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK, nhs.uk.
Riyaz SomaniDepartment of Cardiovascular Sciences, Clinical Science Wing, Glenfield Hospital, University of Leicester, Leicester, UK, le.ac.uk.
André NgDepartment of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK, nhs.uk.
Sanjay S BhandariDepartment of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK, nhs.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

artificial intelligencecardiac failurecardiac magnetic resonanceCOVID-19epidemiologymyocarditis

Identifiers

PMID42577662
PMCPMC13454957

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.