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501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19
| Autores principales: | , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
European Society for Medical Oncology. Published by Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472539/ http://dx.doi.org/10.1016/j.annonc.2022.07.629 |
| _version_ | 1784789323622645760 |
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| author | Halabi, S. Luo, B. Dzimitrowicz, H. Hwang, C. Wise-Draper, T.M. Labaki, C. McKay, R.R. Ruiz, E. Rangel-Escareño, C. Farmakiotis, D. Griffiths, E.A. Jani, C.T. Accordino, M. Friese, C. Wulff-Burchfield, E. Puc, M. Yu, P. Topaloglu, U. Mishra, S. Warner, J. |
| author_facet | Halabi, S. Luo, B. Dzimitrowicz, H. Hwang, C. Wise-Draper, T.M. Labaki, C. McKay, R.R. Ruiz, E. Rangel-Escareño, C. Farmakiotis, D. Griffiths, E.A. Jani, C.T. Accordino, M. Friese, C. Wulff-Burchfield, E. Puc, M. Yu, P. Topaloglu, U. Mishra, S. Warner, J. |
| author_sort | Halabi, S. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9472539 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | European Society for Medical Oncology. Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-94725392022-09-14 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19 Halabi, S. Luo, B. Dzimitrowicz, H. Hwang, C. Wise-Draper, T.M. Labaki, C. McKay, R.R. Ruiz, E. Rangel-Escareño, C. Farmakiotis, D. Griffiths, E.A. Jani, C.T. Accordino, M. Friese, C. Wulff-Burchfield, E. Puc, M. Yu, P. Topaloglu, U. Mishra, S. Warner, J. Ann Oncol Article European Society for Medical Oncology. Published by Elsevier Ltd. 2022-09 2022-09-13 /pmc/articles/PMC9472539/ http://dx.doi.org/10.1016/j.annonc.2022.07.629 Text en Copyright © 2022 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 Halabi, S. Luo, B. Dzimitrowicz, H. Hwang, C. Wise-Draper, T.M. Labaki, C. McKay, R.R. Ruiz, E. Rangel-Escareño, C. Farmakiotis, D. Griffiths, E.A. Jani, C.T. Accordino, M. Friese, C. Wulff-Burchfield, E. Puc, M. Yu, P. Topaloglu, U. Mishra, S. Warner, J. 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19 |
| title | 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19 |
| title_full | 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19 |
| title_fullStr | 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19 |
| title_full_unstemmed | 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19 |
| title_short | 501P A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19 |
| title_sort | 501p a prognostic model of all-cause mortality at 30 days in patients with cancer and covid-19 |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472539/ http://dx.doi.org/10.1016/j.annonc.2022.07.629 |
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