About: Cytology in the time of coronavirus disease (covid-19): an Italian perspective

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Cytology in the time of coronavirus disease (covid-19): an Italian perspective
Creator	Bellevicine, Claudio Bruzzese, Dario Iaccarino, Antonino Malapelle, Umberto Troncone, Giancarlo Vigliar, Elena
source	Medline; PMC
abstract	INTRODUCTION: The coronavirus disease 2019 (covid-19) is changing the way we practice pathology, including fine needle aspiration (FNA) diagnostics. Although recommendations have been issued to prioritise patients at high oncological risk, postponing those with unsuspicious presentations, real world data have not been reported yet. METHODS: The percentages of the cytological sample types processed at the University of Naples Federico II, during the first 3 weeks of Italian national lockdown were compared with those of the same period in 2019. RESULTS: During the emergency, the percentage of cytology samples reported as malignant increased (p<0.001), reflecting higher percentages of breast (p=0.002) and lymph nodes FNAs (p=0.008), effusions (p<0.001) and urine (p=0.005). Conversely, thyroid FNAs (p<0.001) and Pap smears (p=0.003) were reduced. CONCLUSIONS: Even in times of covid-19 outbreak, cytological examination may be safely carried out in patients at high oncological risk, without the need to be postponed.
has issue date	2020-04-19(xsd:dateTime)
bibo:doi	10.1136/jclinpath-2020-206614
bibo:pmid	32312717
has license	cc-by-nc
sha1sum (hex)	d8c30bc01531b1436e2e24deacadbc5f0c7364f5
schema:url	https://doi.org/10.1136/jclinpath-2020-206614
resource representing a document's title	Cytology in the time of coronavirus disease (covid-19): an Italian perspective
has PubMed Central identifier	PMC7211103
has PubMed identifier	32312717
schema:publication	J Clin Pathol
resource representing a document's body	covid:d8c30bc01531b1436e2e24deacadbc5f0c7364f5#body_text
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