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The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model

PURPOSE: The rapid spread of the SARS-CoV-2 pandemic around the world caused most healthcare services to turn substantial attention to treatment of these patients and also to alter the structure of healthcare systems to address an infectious disease. As a result, many cancer patients had their treat...

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Autores principales: Matos, Leandro L., Forster, Carlos Henrique Q., Marta, Gustavo N., Castro Junior, Gilberto, Ridge, John A., Hirata, Daisy, Miranda-Filho, Adalberto, Hosny, Ali, Sanabria, Alvaro, Gregoire, Vincent, Patel, Snehal G., Fagan, Johannes J., D’Cruz, Anil K., Licitra, Lisa, Mehanna, Hisham, Hao, Sheng-Po, Psyrri, Amanda, Porceddu, Sandro, Galloway, Thomas J., Golusinski, Wojciech, Lee, Nancy Y., Shiguemori, Elcio H., Matieli, José Elias, Shiguemori, Ana Paula A. C., Diamantino, Letícia R., Schiaveto, Luiz Felipe, Leão, Lysia, Castro, Ana F., Carvalho, André Lopes, Kowalski, Luiz Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7950430/
https://www.ncbi.nlm.nih.gov/pubmed/33704627
http://dx.doi.org/10.1007/s10552-021-01411-7
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author Matos, Leandro L.
Forster, Carlos Henrique Q.
Marta, Gustavo N.
Castro Junior, Gilberto
Ridge, John A.
Hirata, Daisy
Miranda-Filho, Adalberto
Hosny, Ali
Sanabria, Alvaro
Gregoire, Vincent
Patel, Snehal G.
Fagan, Johannes J.
D’Cruz, Anil K.
Licitra, Lisa
Mehanna, Hisham
Hao, Sheng-Po
Psyrri, Amanda
Porceddu, Sandro
Galloway, Thomas J.
Golusinski, Wojciech
Lee, Nancy Y.
Shiguemori, Elcio H.
Matieli, José Elias
Shiguemori, Ana Paula A. C.
Diamantino, Letícia R.
Schiaveto, Luiz Felipe
Leão, Lysia
Castro, Ana F.
Carvalho, André Lopes
Kowalski, Luiz Paulo
author_facet Matos, Leandro L.
Forster, Carlos Henrique Q.
Marta, Gustavo N.
Castro Junior, Gilberto
Ridge, John A.
Hirata, Daisy
Miranda-Filho, Adalberto
Hosny, Ali
Sanabria, Alvaro
Gregoire, Vincent
Patel, Snehal G.
Fagan, Johannes J.
D’Cruz, Anil K.
Licitra, Lisa
Mehanna, Hisham
Hao, Sheng-Po
Psyrri, Amanda
Porceddu, Sandro
Galloway, Thomas J.
Golusinski, Wojciech
Lee, Nancy Y.
Shiguemori, Elcio H.
Matieli, José Elias
Shiguemori, Ana Paula A. C.
Diamantino, Letícia R.
Schiaveto, Luiz Felipe
Leão, Lysia
Castro, Ana F.
Carvalho, André Lopes
Kowalski, Luiz Paulo
author_sort Matos, Leandro L.
collection PubMed
description PURPOSE: The rapid spread of the SARS-CoV-2 pandemic around the world caused most healthcare services to turn substantial attention to treatment of these patients and also to alter the structure of healthcare systems to address an infectious disease. As a result, many cancer patients had their treatment deferred during the pandemic, increasing the time-to-treatment initiation, the number of untreated patients (which will alter the dynamics of healthcare delivery in the post-pandemic era) and increasing their risk of death. Hence, we analyzed the impact on global cancer mortality considering the decline in oncology care during the COVID-19 outbreak using head and neck cancer, a known time-dependent disease, as a model. METHODS: An online practical tool capable of predicting the risk of cancer patients dying due to the COVID-19 outbreak and also useful for mitigation strategies after the peak of the pandemic has been developed, based on a mathematical model. The scenarios were estimated by information of 15 oncological services worldwide, given a perspective from the five continents and also some simulations were conducted at world demographic data. RESULTS: The model demonstrates that the more that cancer care was maintained during the outbreak and also the more it is increased during the mitigation period, the shorter will be the recovery, lessening the additional risk of dying due to time-to-treatment initiation. CONCLUSIONS: This impact of COVID-19 pandemic on cancer patients is inevitable, but it is possible to minimize it with an effort measured by the proposed model. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10552-021-01411-7.
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spelling pubmed-79504302021-03-12 The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model Matos, Leandro L. Forster, Carlos Henrique Q. Marta, Gustavo N. Castro Junior, Gilberto Ridge, John A. Hirata, Daisy Miranda-Filho, Adalberto Hosny, Ali Sanabria, Alvaro Gregoire, Vincent Patel, Snehal G. Fagan, Johannes J. D’Cruz, Anil K. Licitra, Lisa Mehanna, Hisham Hao, Sheng-Po Psyrri, Amanda Porceddu, Sandro Galloway, Thomas J. Golusinski, Wojciech Lee, Nancy Y. Shiguemori, Elcio H. Matieli, José Elias Shiguemori, Ana Paula A. C. Diamantino, Letícia R. Schiaveto, Luiz Felipe Leão, Lysia Castro, Ana F. Carvalho, André Lopes Kowalski, Luiz Paulo Cancer Causes Control Original Paper PURPOSE: The rapid spread of the SARS-CoV-2 pandemic around the world caused most healthcare services to turn substantial attention to treatment of these patients and also to alter the structure of healthcare systems to address an infectious disease. As a result, many cancer patients had their treatment deferred during the pandemic, increasing the time-to-treatment initiation, the number of untreated patients (which will alter the dynamics of healthcare delivery in the post-pandemic era) and increasing their risk of death. Hence, we analyzed the impact on global cancer mortality considering the decline in oncology care during the COVID-19 outbreak using head and neck cancer, a known time-dependent disease, as a model. METHODS: An online practical tool capable of predicting the risk of cancer patients dying due to the COVID-19 outbreak and also useful for mitigation strategies after the peak of the pandemic has been developed, based on a mathematical model. The scenarios were estimated by information of 15 oncological services worldwide, given a perspective from the five continents and also some simulations were conducted at world demographic data. RESULTS: The model demonstrates that the more that cancer care was maintained during the outbreak and also the more it is increased during the mitigation period, the shorter will be the recovery, lessening the additional risk of dying due to time-to-treatment initiation. CONCLUSIONS: This impact of COVID-19 pandemic on cancer patients is inevitable, but it is possible to minimize it with an effort measured by the proposed model. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10552-021-01411-7. Springer International Publishing 2021-03-11 2021 /pmc/articles/PMC7950430/ /pubmed/33704627 http://dx.doi.org/10.1007/s10552-021-01411-7 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Matos, Leandro L.
Forster, Carlos Henrique Q.
Marta, Gustavo N.
Castro Junior, Gilberto
Ridge, John A.
Hirata, Daisy
Miranda-Filho, Adalberto
Hosny, Ali
Sanabria, Alvaro
Gregoire, Vincent
Patel, Snehal G.
Fagan, Johannes J.
D’Cruz, Anil K.
Licitra, Lisa
Mehanna, Hisham
Hao, Sheng-Po
Psyrri, Amanda
Porceddu, Sandro
Galloway, Thomas J.
Golusinski, Wojciech
Lee, Nancy Y.
Shiguemori, Elcio H.
Matieli, José Elias
Shiguemori, Ana Paula A. C.
Diamantino, Letícia R.
Schiaveto, Luiz Felipe
Leão, Lysia
Castro, Ana F.
Carvalho, André Lopes
Kowalski, Luiz Paulo
The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model
title The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model
title_full The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model
title_fullStr The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model
title_full_unstemmed The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model
title_short The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model
title_sort hidden curve behind covid-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7950430/
https://www.ncbi.nlm.nih.gov/pubmed/33704627
http://dx.doi.org/10.1007/s10552-021-01411-7
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