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Cited by 478

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Autopsy in suspected COVID-19 cases

Open access
Hanley, Brian, Lucas, Sebastian B, Youd, Esther, Swift, Benjamin, Osborn, Michael·2020·Journal of Clinical Pathology

Abstract

The severe acute respiratory syndrome (SARS)-coronavirus-2 (CoV-2) outbreak in Wuhan, China has now spread to many countries across the world including the UK with an increasing death toll. This will inevitably lead to an increase in the number of suspected coronavirus disease 2019 (COVID-19)-related deaths at autopsy. The Royal College of Pathologists has responded to this concern with the release of a briefing on autopsy practice relating to COVID-19. The following article is a summary and interpretation of these guidelines. It includes a description of hazard group 3 organisms, the category to which SARS-CoV-2 has been assigned, a brief description of what is currently known about the pathological and autopsy findings in COVID-19, a summary of the recommendations for conducting autopsies in suspected COVID-19 cases and the techniques for making the diagnosis at autopsy. It concludes by considering the clinicopathological correlation and notification of such cases.

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Registry

Crossref · 10.1136/jclinpath-2020-206522

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Metadata

Authors
Hanley, B., Lucas, S. B., Youd, E., Swift, B., & Osborn, M.
Venue
Journal of Clinical Pathology
Publisher
BMJ
Published
2020-03-20
Volume
73
Issue
5
Pages
239-242
ISSN
  • 0021-9746 (ISSN-L)
  • 1472-4146
OpenAlex
W3010697991
Cited by
478
References
3
FWCI
49.98
Type
journal article
Language
en
Open access
bronze

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This page
CoChat. (2026). Citation check: Autopsy in suspected COVID-19 cases. https://app.cochat.ai/papers/10.1136/jclinpath-2020-206522
The paper
Hanley, B., Lucas, S. B., Youd, E., Swift, B., & Osborn, M. (2020). Autopsy in suspected COVID-19 cases. Journal of Clinical Pathology. https://doi.org/10.1136/jclinpath-2020-206522

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.