Evidence map›Paper›PMID 20113545›Full record

ArticleEmerging infectious diseases2010

Effects of coronavirus infections in children.

Nicola Principi, Samantha Bosis, Susanna Esposito

Open access · diamondAbstract readEditorial
In one paragraph

Article in Emerging infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
2.8field-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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Non-SARS Coronaviruses in Individuals with Psychiatric Disorders.Current topics in behavioral neurosciences · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. The effect of coronavirus disease 2019 on newborns.Current opinion in pediatrics · 2021
    Review
  19. Review
  20. 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

3 authors at 3 institutions in 1 country.

Nicola PrincipiUniversity of Milan, Milan, Italy.
Samantha Bosis
Susanna Esposito
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITUniversity of Milan · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The isolation of the coronavirus (CoV) identified as the cause of severe acute respiratory syndrome and the detection of 2 new human CoVs (HCoV-NL63 and HCoV-HKU1) have led to studies of the epidemiology and clinical and socioeconomic effects of infections caused by all HCoVs, including those known since the late 1960s (HCoV-229E and HCoV-OC43). HCoV infections can be associated with respiratory and extrarespiratory manifestations, including central nervous system involvement. Furthermore, unlike other RNA viruses, HCoVs can easily mutate and recombine when different strains infect the same cells and give rise to a novel virus with unpredictable host ranges and pathogenicity. Thus, circulating HCoVs should be closely monitored to detect the spread of particularly virulent strains in the community at an early stage and to facilitate the development of adequate preventive and therapeutic measures.

Indexed as

Population SurveillanceChildChild, PreschoolCoronavirusCoronavirus InfectionsGastrointestinal DiseasesHumansIncidenceInfantRecombination, GeneticRespiratory Tract InfectionsSeroepidemiologic StudiesVirulence

Identifiers

PMID20113545
PMCPMC2957994
OpenAlexW2146594591

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.