Evidence map›Paper›PMID 36246810›Full record

ArticleWorld journal of clinical cases2022

Coronary artery aneurysms caused by Kawasaki disease in an adult: A case report and literature review.

Ying He, Hao Ji, Jian-Chang Xie, Liang Zhou

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2022. 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
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Ying HeThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang Province, China.
Hao JiThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang Province, China.
Jian-Chang XieDepartment of Cardiology, Hangzhou First People's Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou 310006, Zhejiang Province, China.
Liang ZhouDepartment of Cardiology, Hangzhou First People's Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou 310006, Zhejiang Province, China. zl_hzsy@163.com.
Hangzhou First People's Hospital · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKawasaki disease (KD) is a self-limiting febrile illness and an acute vasculitis with an unknown origin. It predominantly affects children aged < 5 years. KD is the common cause of acquired heart disease in children. We here report a case of KD in an asymptomatic young female patient diagnosed with multiple coronary aneurysms with calcification. CASE SUMMARY: A 29-year-old female patient admitted to Hangzhou First People's Hospital with coronary artery abnormality identified for 1 wk. The patient was asymptomatic; however, chest computed tomography occasionally revealed strip-like dense shadows in the coronal sulcus. After coronary angiography and Doppler echocardiography, the final diagnosis was coronary artery aneurysms (CAAs) caused by KD. Although the patient was asymptomatic with no history of KD in childhood, the definitive diagnosis was CAAs caused by KD. The patient was administered anticoagulant, and surgical treatment was recommended.

conclusionKD potentially causes CAAs in 25% of untreated cases, primarily occurring in the proximal portions of the coronary arteries.

Indexed as

Case reportCoronary angiographyCoronary artery aneurysmsCoronary vasculitisKawasaki disease

Identifiers

PMID36246810
PMCPMC9561567
OpenAlexW4297121274

What OpenQuestion holds

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LicenceCC BY-NC
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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.