Evidence map›Paper›PMID 34793991›Full record

ReviewBiomedical journal2022

Spectrum of neuroimaging mimics in children with COVID-19 infection.

Alex Mun-Ching Wong, Cheng Hong Toh

Abstract readReview
In one paragraph

Review in Biomedical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Updates in pediatrics.Biomedical journal · 2022
    Article
  12. About gladiators and a sacred disease.Biomedical journal · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Alex Mun-Ching WongDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan. Electronic address: alexmcwchop@yahoo.com.
Cheng Hong TohCollege of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has affected over 200 million people globally (including over 30 million people in the United States), with children comprising 12.9% of reported cases in the United States. In children, COVID-19 infection appears to be associated with mild respiratory symptoms; however, serious neurological complications may occur in conjunction with multisystem inflammatory syndrome. A wide spectrum of neurological diseases have been observed in children with COVID-19 infection including encephalitis, acute necrotizing encephalopathy, acute disseminated encephalomyelitis, cytotoxic lesion of the callosal splenium, posterior reversible encephalopathy syndrome, venous sinus thrombosis, vasculitis and infarction, Guillain-Barré syndrome, transverse myelitis, and myositis. This review describes the characteristic magnetic resonance neuroimaging features of these diseases and their differentiations from other imaging mimics. In addition, we review the possible pathophysiology underlying the association between these diseases and COVID-19-infection. As new SARS-CoV-2 variants emerge and COVID-19 infection continues to spread worldwide, pediatricians, radiologists, and first-line care givers should be aware of possible neurological diseases associated with COVID-19 infection when these reported neuroimaging patterns are observed in children during this pandemic.

Indexed as

COVID-19Posterior Leukoencephalopathy SyndromeChildHumansNeuroimagingSARS-CoV-2Systemic Inflammatory Response SyndromeUnited StatesChildrenCOVID-19MRINeurological diseasesSARS-CoV-2

Identifiers

PMID34793991
PMCPMC8591861

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.