Evidence map›Paper›PMID 38269467›Full record

ReviewZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2024

[Multisystem inflammatory syndrome in children in the context of coronavirus disease 2019 pandemic].

Bin Zhou, Yu-Kun Huang, Shao-Xian Hong, Fu-Yong Jiao, Kai-Sheng Xie

Open access · greenAbstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Bin ZhouStructual/Congenital Heart Disease and Ultrasound Center, China Medical University Children's Hospital, Taichung, Taiwan, China (Xie K-S, Email: kshsieh@hotmail. com).
Yu-Kun HuangStructual/Congenital Heart Disease and Ultrasound Center, China Medical University Children's Hospital, Taichung, Taiwan, China (Xie K-S, Email: kshsieh@hotmail. com).
Shao-Xian HongStructual/Congenital Heart Disease and Ultrasound Center, China Medical University Children's Hospital, Taichung, Taiwan, China (Xie K-S, Email: kshsieh@hotmail. com).
Fu-Yong Jiao
Kai-Sheng Xie
China Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multisystem inflammatory syndrome in children (MIS-C) is a complex syndrome characterized by multi-organ involvement that has emerged in the context of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak. The clinical presentation of MIS-C is similar to Kawasaki disease but predominantly presents with fever and gastrointestinal symptoms, and severe cases can involve toxic shock and cardiac dysfunction. Epidemiological findings indicate that the majority of MIS-C patients test positive for SARS-CoV-2 antibodies. The pathogenesis and pathophysiology of MIS-C remain unclear, though immune dysregulation following SARS-CoV-2 infection is considered a major contributing factor. Current treatment approaches for MIS-C primarily involve intravenous immunoglobulin therapy and symptomatic supportive care. This review article provides a comprehensive overview of the definition, epidemiology, pathogenesis, clinical presentation, diagnosis, treatment, and prognosis of MIS-C.

Indexed as

COVID-19ChildHumansPandemicsSARS-CoV-2Systemic Inflammatory Response SyndromeChildCoronavirus disease 2019Multisystem inflammatory syndrome in childrenSevere acute respiratory syndrome coronavirus 2

Identifiers

PMID38269467
PMCPMC10817736
OpenAlexW4391232886

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.