Evidence map›Paper›PMID 25841665›Full record

ReviewThe international journal of cardiovascular imaging2015

Coronary artery vasculitis: assessment with cardiac multi-detector computed tomography.

Chang Ho Jeon, Yeo Koon Kim, Eun Ju Chun, Jeong A Kim, Hwan Seok Yong, Kyung Won Doo, Sang Il Choi

Abstract readReview
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Wellens syndrome in a young woman with coronary artery vasculitis.Journal of general and family medicine · 2021
    Article
  6. Review
  7. Article
  8. Review
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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 at 3 institutions in 1 country.

Chang Ho JeonDepartment of Radiology, Seoul National University Bundang Hospital, 82, 173 Beon-gil, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 436-707, Korea.
Yeo Koon Kim
Eun Ju Chun
Jeong A Kim
Hwan Seok Yong
Kyung Won Doo
Sang Il Choi
Seoul National University Bundang Hospital · KRKorea University Medical Center · KRInje University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery vasculitis is rare and comprises an array of inflammatory diseases. It often results in severe and life-threatening complications, including coronary artery aneurysm, coronary artery stenosis, intraluminal thrombosis, and microcirculation abnormalities. These may occur at a young age and are often silent in the early phases. Invasive coronary angiography is the gold standard for diagnosing coronary artery disease (CAD); however, multi-detector computed tomography (MDCT) is now widely regarded as a powerful non-invasive tool for the detection of CAD. It is important for clinicians to recognize the various CT findings associated with coronary artery vasculitis in order to promote accurate diagnosis and proper patient management. The purpose of this article is to present an overview of the conditions associated with coronary artery vasculitis, with an emphasis on etiology and cardiac MDCT diagnosis of CAD. Cardiac MDCT is clinically useful and can provide information for the accurate diagnosis and treatment of coronary vasculitis.

Indexed as

AdultAgedCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansMagnetic Resonance AngiographyMaleMiddle AgedMultidetector Computed TomographyPredictive Value of TestsPrognosisRadiographic Image Interpretation, Computer-AssistedSeverity of Illness IndexUltrasonography, Interventional

Identifiers

PMID25841665
OpenAlexW2030197223

What OpenQuestion holds

Textmetadata
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.