Evidence map›Paper›PMID 38188572›Full record

ReviewFrontiers in microbiology2023

Emerging evidence of microbial infection in causing systematic immune vasculitis in Kawasaki disease.

Wang Wang, Liyan Zhu, Xuan Li, Zhiheng Liu, Haitao Lv, Guanghui Qian

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Wang Wang *Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Liyan Zhu *Department of Experimental Center, Medical College of Soochow University, Suzhou, China.
Xuan Li *Department of Cardiology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Zhiheng Liu *Department of Cardiology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Haitao LvDepartment of Cardiology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Guanghui QianInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is a systematic vasculitis that is often complicated by coronary artery lesions and is a leading cause of acquired heart disease in developed countries. Previous studies have suggested that genetic susceptibility, together with an inducing infectious agent, could be involved in KD pathogenesis; however, the precise causative agent of this disease remains unknown. Moreover, there are still debates concerning whether KD is an infectious disease or an autoimmune disease, although many studies have begun to show that various pathogens functioning as critical inducers could activate different kinds of immune cells, consequently leading to the dysfunction of endothelial cells and systematic vasculitis. Here in this review, we attempt to summarize all the available evidence concerning pathogen infections associated with KD pathogenesis. We also discuss the related mechanisms, present a future perspective, and identify the open questions that remain to be investigated, thereby providing a comprehensive description of pathogen infections and their correlations with the host immune system in leading to KD.

Indexed as

bacteriafungiKawasaki diseasevasculitisvirus

Identifiers

PMID38188572
PMCPMC10771848
OpenAlexW4390111079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.