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COVID-19 in children with haematological malignancies

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 22 Jul 2021 English Publisher:BMJJournal:Archives of Disease in Childhood, volume 107, pages 186-188 (issn: 0003-9888, eissn: 1468-2044, Copyright policy )
Authors: Ashley Gamble; Claire Palles; Helen Curley; Charles A. Stiller; Bob Phillips; Bob Phillips; Adam Glaser; +12 Authors

doi: 10.1136/archdischild-2021-322062

pmid: 34301621

pmc: PMC8785070

COVID-19 in children with haematological malignancies

Abstract

BackgroundChildren with cancer are not at increased risk of severe SARS-CoV-2 infection; however, adults with haematological malignancies have increased risk of severe infections compared with non-haematological malignancies.MethodsWe compared patients with haematological and non-haematological malignancies enrolled in the UK Paediatric Coronavirus Cancer Monitoring Project between 12 March 2020 and 16 February 2021. Children who received stem cell transplantation were excluded.ResultsOnly 2/62 patients with haematological malignancy had severe/critical infections, with an OR of 0.5 for patients with haematological compared with non-haematological malignancies.InterpretationChildren with haematological malignancies are at no greater risk of severe SARS-CoV-2 infection than those with non-haematological malignancies.

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Keywords

Male, COVID-19/diagnosis, Manchester Cancer Research Centre, Adolescent, SARS-CoV-2, Short Report, COVID-19, Infant, Risk Assessment, Severity of Illness Index, ResearchInstitutes_Networks_Beacons/mcrc; name=Manchester Cancer Research Centre, SARS-CoV-2/immunology, Cohort Studies, Hematologic Neoplasms/epidemiology, Risk Assessment/statistics & numerical data, Risk Factors, Child, Preschool, Hematologic Neoplasms, Humans, Female, Preschool, Child

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
Green
hybrid
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Corona Virus Disease
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Cancer Research