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Cited by 398

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The Impact of the COVID-19 Pandemic on Cancer Patients

Open access
Al-Quteimat, Osama M., Amer, Amer Mustafa·2020·American Journal of Clinical Oncology

Abstract

In December 2019, a novel coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused an outbreak of coronavirus disease 2019 (COVID-19). Severe complications have been reported to occur in 33% of patients with COVID-19 and include acute respiratory distress syndrome, acute renal failure, acute respiratory injury, septic shock, and severe pneumonia. Currently, there is no specific treatment or approved vaccine against COVID-19 and many clinical trials are currently investigating potential medications to treat COVID-19. The immunosuppressed status of some cancer patients (whether caused by the disease itself or the treatment) increases their risk of infection compared with the general population. This short review aims to focus on the impact of COVID-19 on a cancer patient and discuss management options and recommendation in addition to highlighting the currently available clinical guidelines and resources.

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Crossref · 10.1097/coc.0000000000000712

Cites

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Metadata

Authors
Al-Quteimat, O. M., & Amer, A. M.
Venue
American Journal of Clinical Oncology
Published
2020-04-16
Volume
43
Issue
6
Pages
452-455
ISSN
0277-3732 (ISSN-L)
OpenAlex
W3016602372
Cited by
398
References
9
FWCI
26.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Impact of the COVID-19 Pandemic on Cancer Patients. https://app.cochat.ai/papers/10.1097/coc.0000000000000712
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Al-Quteimat, O. M., & Amer, A. M. (2020). The Impact of the COVID-19 Pandemic on Cancer Patients. American Journal of Clinical Oncology. https://doi.org/10.1097/coc.0000000000000712

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.