Evidence map›Paper›PMID 32420941›Full record

ReviewActa bio-medica : Atenei Parmensis2020

Novel coronavirus infection and children.

Federica Cavallo, Nadia Rossi, Francesco Chiarelli

Open access · greenAbstract readReview
In one paragraph

Review in Acta bio-medica : Atenei Parmensis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Lymphocyte Subsets in Mild COVID-19 Pediatric Patients.Turkish archives of pediatrics · 2022
    Article
  5. Review
  6. Article
  7. SARS-CoV-2 Pandemic Impact on Pediatric Emergency Rooms: A Multicenter Study.International journal of environmental research and public health · 2020
    Article
  8. Article
  9. Review
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

3 authors at 1 institution in 1 country.

Federica CavalloDepartment of Paediatrics, University of Chieti, Italy. federica-cavallo@libero.it.
Nadia RossiDepartment of Paediatrics, University of Chieti, Italy. nadiarosit@yahoo.it.
Francesco ChiarelliDepartment of Paediatrics, University of Chieti, Italy; Consultant of the European Commission for Non-Communicable Disease (NCD) in Children. chiarelli@unich.it.
University of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimCoronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Its outbreak in many states of the world, forced the World Health Organization (WHO) to declare a pandemic. Currently, COVID-19 has infected 1 991 562 patients causing 130 885 deaths globally as of 16 April 2020. The aim of this review is to underline the epidemiological, clinical and management characteristics in children affected by COVID-19.

methodsWe searched Pubmed, from January to April 2020, for the following search terms: "COVID-19", "children", "SARS-COV2", "complications", "epidemiology", "clinical features", focusing our attention mostly on epidemiology and symptoms of COVID-19 in children.

resultsUsually, infants and children present milder symptoms of the disease with a better outcome than adults. Consequently, children may be considered an infection reservoir that may play a role as spreader of the infection in community.

Indexed as

BetacoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralChildCOVID-19HumansRadiography, ThoracicSARS-CoV-2Severity of Illness IndexUltrasonography

Identifiers

PMID32420941
PMCPMC7569614
OpenAlexW3024008841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.