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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Determinants of COVID-19 disease severity in patients with cancer

Open access
Robilotti, Elizabeth V., Babady, N. Esther, Mead, Peter A., Rolling, Thierry, Perez-Johnston, Rocio, Bernardes, Marilia, Bogler, Yael, Caldararo, Mario, Figueroa, Cesar J., Glickman, Michael S., Joanow, Alexa, Kaltsas, Anna, Lee, Yeon Joo, Lucca, Anabella, Mariano, Amanda, Morjaria, Sejal, Nawar, Tamara, Papanicolaou, Genovefa A., Predmore, Jacqueline, Redelman-Sidi, Gil, Schmidt, Elizabeth, Seo, Susan K., Sepkowitz, Kent, Shah, Monika K., Wolchok, Jedd D., Hohl, Tobias M., Taur, Ying, Kamboj, Mini·2020·Nature Medicine

Abstract

As of 10 April 2020, New York State had 180,458 cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 9,385 reported deaths. Patients with cancer comprised 8.4% of deceased individuals1. Population-based studies from China and Italy suggested a higher coronavirus disease 2019 (COVID-19) death rate in patients with cancer2,3, although there is a knowledge gap as to which aspects of cancer and its treatment confer risk of severe COVID-194. This information is critical to balance the competing safety considerations of reducing SARS-CoV-2 exposure and cancer treatment continuation. From 10 March to 7 April 2020, 423 cases of symptomatic COVID-19 were diagnosed at Memorial Sloan Kettering Cancer Center (from a total of 2,035 patients with cancer tested). Of these, 40% were hospitalized for COVID-19, 20% developed severe respiratory illness (including 9% who required mechanical ventilation) and 12% died within 30 d. Age older than 65 years and treatment with immune checkpoint inhibitors (ICIs) were predictors for hospitalization and severe disease, whereas receipt of chemotherapy and major surgery were not. Overall, COVID-19 in patients with cancer is marked by substantial rates of hospitalization and severe outcomes. The association observed between ICI and COVID-19 outcomes in our study will need further interrogation in tumor-specific cohorts. Analysis of a large, single-center cohort of patients with cancer who were infected with COVID-19 uncovers factors associated with disease severity and interactions with anti-cancer therapies

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Metadata

Authors
Robilotti, E. V., Babady, N. E., Mead, P. A., Rolling, T., Perez-Johnston, R., Bernardes, M., Bogler, Y., Caldararo, M., Figueroa, C. J., Glickman, M. S., Joanow, A., Kaltsas, A., Lee, Y. J., Lucca, A., Mariano, A., Morjaria, S., Nawar, T., Papanicolaou, G. A., Predmore, J., Redelman-Sidi, G., Schmidt, E., Seo, S. K., Sepkowitz, K., Shah, M. K., Wolchok, J. D., Hohl, T. M., Taur, Y., & Kamboj, M.
Venue
Nature Medicine
Published
2020-06-24
Volume
26
Issue
8
Pages
1218-1223
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W3037848912
Cited by
628
References
8
FWCI
44.91
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Determinants of COVID-19 disease severity in patients with cancer. https://app.cochat.ai/papers/10.1038/s41591-020-0979-0
The paper
Robilotti, E. V., Babady, N. E., Mead, P. A., Rolling, T., Perez-Johnston, R., Bernardes, M., Bogler, Y., Caldararo, M., Figueroa, C. J., Glickman, M. S., Joanow, A., Kaltsas, A., Lee, Y. J., Lucca, A., Mariano, A., Morjaria, S., Nawar, T., Papanicolaou, G. A., Predmore, J., . . . Kamboj, M. (2020). Determinants of COVID-19 disease severity in patients with cancer. Nature Medicine. https://doi.org/10.1038/s41591-020-0979-0

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

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