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1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19
| Autores principales: | , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
European Society for Medical Oncology. Published by Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506385/ http://dx.doi.org/10.1016/j.annonc.2020.08.1754 |
| _version_ | 1783585006375927808 |
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| author | Lee, R. Zhou, C. Shotton, R. Tivey, A. Dickens, E. Huddar, P. McKenzie, H. Boyce, H. Maynard, A. Rowe, M.P. Khan, S. Eastlake, L. Angelakas, A. Baxter, M. Copson, E. Horsley, L. Thomas, A. Wilson, C. Cooksley, T. Armstrong, A. |
| author_facet | Lee, R. Zhou, C. Shotton, R. Tivey, A. Dickens, E. Huddar, P. McKenzie, H. Boyce, H. Maynard, A. Rowe, M.P. Khan, S. Eastlake, L. Angelakas, A. Baxter, M. Copson, E. Horsley, L. Thomas, A. Wilson, C. Cooksley, T. Armstrong, A. |
| author_sort | Lee, R. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7506385 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | European Society for Medical Oncology. Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-75063852020-09-23 1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19 Lee, R. Zhou, C. Shotton, R. Tivey, A. Dickens, E. Huddar, P. McKenzie, H. Boyce, H. Maynard, A. Rowe, M.P. Khan, S. Eastlake, L. Angelakas, A. Baxter, M. Copson, E. Horsley, L. Thomas, A. Wilson, C. Cooksley, T. Armstrong, A. Ann Oncol Article European Society for Medical Oncology. Published by Elsevier Ltd. 2020-09 2020-09-22 /pmc/articles/PMC7506385/ http://dx.doi.org/10.1016/j.annonc.2020.08.1754 Text en Copyright © 2020 European Society for Medical Oncology. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article Lee, R. Zhou, C. Shotton, R. Tivey, A. Dickens, E. Huddar, P. McKenzie, H. Boyce, H. Maynard, A. Rowe, M.P. Khan, S. Eastlake, L. Angelakas, A. Baxter, M. Copson, E. Horsley, L. Thomas, A. Wilson, C. Cooksley, T. Armstrong, A. 1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19 |
| title | 1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19 |
| title_full | 1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19 |
| title_fullStr | 1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19 |
| title_full_unstemmed | 1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19 |
| title_short | 1690P Development of a model to predict hospital admission and severe outcome in cancer patients with COVID-19 |
| title_sort | 1690p development of a model to predict hospital admission and severe outcome in cancer patients with covid-19 |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506385/ http://dx.doi.org/10.1016/j.annonc.2020.08.1754 |
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