ArticleCureus2026
Coronary Stent Infection Reimagined: A Non-surgical Victory Against a Rare Cardiac Complication.
Article in Cureus, 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial infection of a coronary stent is an exceptionally rare complication. Diagnosing such infections is often difficult due to non-specific clinical features and the limited sensitivity of early imaging studies. However, modalities like coronary angiography, cardiac CT, and PET scans can provide valuable diagnostic insights. Treatment generally involves prolonged intravenous antibiotic therapy, often in conjunction with surgical intervention when feasible. In cases where surgery carries substantial risk, conservative medical management may be considered. This report describes the case of a 36-year-old male patient who developed persistent fever shortly after coronary stent placement. The clinical course, imaging findings, and therapeutic challenges are discussed to highlight the complexities of diagnosing and managing this rare condition.
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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.