Evidence map›Paper›PMID 33967421›Full record

ArticleIndian journal of thoracic and cardiovascular surgery2021

A rare case of Kawasaki disease with giant coronary artery aneurysm.

Prateek Vaswani, Yatin Arora, Manoj Kumar Sahu, Devagourou Velayoudam

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PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of thoracic and cardiovascular surgery, 2021. 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, top 81% 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, 0 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

Prateek VaswaniDepartment of Cardiothoracic and Vascular Surgery, CTVS office, 7th floor, Cardiothoracic and Neurosciences Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029 India.ORCID 0000-0002-8808-2770
Yatin AroraDepartment of Cardiothoracic and Vascular Surgery, CTVS office, 7th floor, Cardiothoracic and Neurosciences Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029 India.
Manoj Kumar SahuDepartment of Cardiothoracic and Vascular Surgery, CTVS office, 7th floor, Cardiothoracic and Neurosciences Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029 India.
Devagourou VelayoudamDepartment of Cardiothoracic and Vascular Surgery, CTVS office, 7th floor, Cardiothoracic and Neurosciences Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029 India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is an acute, self-limiting vasculitis that occurs in children of all ages. This was first described by Kawasaki in 1967. Spontaneous regression is observed; however, 25% of patients develop coronary artery aneurysm (CAA). These may result in ischaemic heart disease causing myocardial infarction, rupture leading to pericardial tamponade and distal embolization which culminate in sudden cardiac death. Diagnosis of KD relies on clinical suspicion with no gold standard diagnostic test. A case of KD with giant CAA in a 14-year-old female is described with emphasis on challenges pre- and peri-operatively. The review provided post description of the case emphasizes on pathophysiology with clinical course of CAA in association with KD and justification of our approach with an insight into newer treatment modalities.

Indexed as

AneurysmCoronary arteryCoronary artery bypass graftingInternal thoracic arteryKawasaki disease

Identifiers

PMID33967421
PMCPMC8079585
OpenAlexW3087804344

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.