Evidence map›Paper›PMID 34395033›Full record

ReviewJournal of pediatric intensive care2021

Coronavirus Disease 2019 Infection among Children: Pathogenesis, Treatment, and Outcome.

Krishna Rao Gurugubelli, Ballambattu Vishnu Bhat

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of pediatric intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

Krishna Rao GurugubelliDepartment of Biochemistry, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.
Ballambattu Vishnu BhatDepartment of Pediatrics and Neonatology, Aarupadai Veedu Medical College and Hospital, Kirumambakkam, Puducherry, India.
Aarupadai Veedu Medical College & Hospital · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a contagious disease that may lead to respiratory distress syndrome and even death. Neonates and children are most vulnerable population to COVID-19 infection; however, the infection is usually milder and has a better prognosis in pediatric patients compared with adults. It remains unclear why pediatric population is less symptomatic than adults. Children frequently experience respiratory infections and their immune system is in developing stage. However, large proportion of the asymptomatic pediatric population may contribute to transmission. This review explored several aspects of COVID-19 infection such as its epidemiology, its molecular pathogenesis with respect to angiotensin-converting enzyme 2 receptor and inflammatory mediators, intrauterine vertical transmission, imaging findings, and complications like cytokine release syndrome (multisystem inflammatory syndrome in children). We also looked at prognostic factors and treatment modalities like corticosteroids, RNA replicate inhibitors, protease inhibitors, Bruton tyrosine kinase inhibitor, that is, acalabrutinib and convalescent plasma therapy. Since there is no strong evidence for the intrauterine transmission, early isolation should be performed to protect a neonate from a COVID-19 infected mother. Development of vaccine and an effective antiviral drug are the need of the hour.

Indexed as

childrenclinical featuresCOVID-19 infectiondiagnosisneonatestreatment

Identifiers

PMID34395033
PMCPMC8354362
OpenAlexW3091837456

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.