Evidence map›Paper›PMID 36699562›Full record

ReviewFuture virology2022

Update on the treatment of multisystem inflammatory syndrome in children associated with COVID-19.

Fangyuan Long, Shiheng Zhu, Zeguang Wang, Shungeng Zhang, Jinlong He, Xinbin Ge, Jun Ning

Open access · greenAbstract readReview
In one paragraph

Review in Future virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors at 2 institutions in 1 country.

Fangyuan LongDepartment of Physiology, Jining Medical University, 133 Hehua Rd, Jining, 272067, China.
Shiheng ZhuDepartment of Physiology, Jining Medical University, 133 Hehua Rd, Jining, 272067, China.ORCID https://orcid.org/0000-0002-0673-3163
Zeguang WangDepartment of Physiology, Jining Medical University, 133 Hehua Rd, Jining, 272067, China.
Shungeng ZhangDepartment of Physiology, Jining Medical University, 133 Hehua Rd, Jining, 272067, China.
Jinlong HeDepartment of Physiology, Jining Medical University, 133 Hehua Rd, Jining, 272067, China.
Xinbin GeDepartment of Physiology, Jining Medical University, 133 Hehua Rd, Jining, 272067, China.
Jun NingDepartment of Paediatrics, Affiliated Hospital of Jining Medical University, Jining, Shandong, 272029, China.
Jining Medical University · CNAffiliated Hospital of Jining Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In late 2019, SARS-CoV-2 was detected in China and spread worldwide. In rare cases, children who were infected with COVID-19 may develop multisystem inflammatory syndrome (MIS-C), which could have higher mortality than COVID-19 itself. Therefore, diagnosis and management are critical for treatment. Specifically, most of the initial treatment options of MIS-C choose intravenous immunoglobulin (IVIG) and steroids as the first-line treatment for patients. Moreover, antagonists of some cytokines are used as potential future therapeutics. Of note, therapeutic plasmapheresis can be used as a treatment for refractory severe MIS-C. We believe that each patient, especially those with comorbid conditions, should have individualized treatment based on both multidisciplinary consensus approach and expert opinion.

Indexed as

cardiac dysfunctionCOVID-19gastrointestinal symptomshemadsorptionintravenous immune globulinMIS-CSARS-CoV-2

Identifiers

PMID36699562
PMCPMC9853872
OpenAlexW4317518610

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.