Evidence map›Paper›PMID 31392122›Full record

ArticleJournal of cardiovascular echography

Anomalous Right Coronary Artery Origin from Left Main Stem: Role of Cardio-Computed Tomography in the Diagnosis and Therapeutic Approach.

Matteo Gravina, Grazia Casavecchia, Alessandro Martone, Mario Sollitto, Stefano Zicchino, Andrea Cuculo, Luca Macarini, Matteo Di Biase, Natale Daniele Brunetti

Abstract readCase Reports
In one paragraph

Article in Journal of cardiovascular echography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Matteo GravinaDepartment of Radiology, University of Foggia, Foggia, Italy.
Grazia CasavecchiaDepartment of Cardiology, University of Foggia, Foggia, Italy.
Alessandro MartoneDepartment of Cardiology, University of Foggia, Foggia, Italy.
Mario SollittoDepartment of Radiology, University of Foggia, Foggia, Italy.
Stefano ZicchinoDepartment of Cardiology, University of Foggia, Foggia, Italy.
Andrea CuculoDepartment of Cardiology, University of Foggia, Foggia, Italy.
Luca MacariniDepartment of Radiology, University of Foggia, Foggia, Italy.
Matteo Di BiaseCardiology Department, GVM Care and Research, Santa Maria Hospital, Bari, Italy.
Natale Daniele BrunettiDepartment of Cardiology, University of Foggia, Foggia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anomalous coronary arteries (ACAs) are rare but potentially life-threatening abnormalities of coronary circulation. Most of the variants are benign; however, some may lead to myocardial ischemia and/or sudden cardiac arrest. We report the case of a 75-year-old male complaining of exertion chest discomfort. Admission electrocardiogram on presentation showed sinus bradycardia with a slight elevation of ST-T in inferior leads. Troponin levels, however, were normal. Coronary angiography showed an anomalous right coronary artery (RCA) originating from the left main stem without significant stenosis. Cardio-CT confirmed the anomalous origin of the RCA from the left main stem and showed its anomalous course between the aorta and the pulmonary artery. The patient was deemed a candidate for surgery and transferred to a cardiac surgery center. Only the exact definition of the anatomic and clinical features of ACAs may allow the identification of the most appropriate and effective treatment. Multislice computed tomography may play a fundamental role in the diagnosis and treatment of ACAs.

Indexed as

computed tomography-scanCoronary artery anomaliesmultidetector computed tomography

Identifiers

PMID31392122
PMCPMC6657460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.