ReviewAmerican journal of cardiovascular disease2026
Advancing cardiac tumor diagnosis: evaluating
Review in American journal of cardiovascular disease, 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiac tumors are rare but clinically significant lesions requiring prompt and accurate diagnosis. While echocardiography remains the first-line imaging modality, it is limited by its inability to characterize tissue. Cardiovascular magnetic resonance imaging (CMR) and cardiac computed tomography (CT) offer superior anatomical detail but cannot reliably differentiate benign from malignant tumors.
methodsA systematic scoping review was conducted following a structured literature search covering January 2019 to September 2025. After screening 192 articles and applying predefined inclusion and exclusion criteria, 7 retrospective studies enrolling a total of 381 adult patients with newly diagnosed cardiac masses who underwent
resultsAcross all included studies,
conclusion
Indexed as
Identifiers
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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.