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Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development
PURPOSE: Numerous publications during the COVID-19 pandemic recommended the use of hypofractionated radiation therapy. This project assessed aggregate changes in the quality of the evidence supporting these schedules to establish a comprehensive evidence base for future reference and highlight aspec...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834196/ https://www.ncbi.nlm.nih.gov/pubmed/32798063 http://dx.doi.org/10.1016/j.ijrobp.2020.06.054 |
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author | Thomson, David J. Yom, Sue S. Saeed, Hina El Naqa, Issam Ballas, Leslie Bentzen, Soren M. Chao, Samuel T. Choudhury, Ananya Coles, Charlotte E. Dover, Laura Guadagnolo, B. Ashleigh Guckenberger, Matthias Hoskin, Peter Jabbour, Salma K. Katz, Matthew S. Mukherjee, Somnath Rembielak, Agata Sebag-Montefiore, David Sher, David J. Terezakis, Stephanie A. Thomas, Toms V. Vogel, Jennifer Estes, Christopher |
author_facet | Thomson, David J. Yom, Sue S. Saeed, Hina El Naqa, Issam Ballas, Leslie Bentzen, Soren M. Chao, Samuel T. Choudhury, Ananya Coles, Charlotte E. Dover, Laura Guadagnolo, B. Ashleigh Guckenberger, Matthias Hoskin, Peter Jabbour, Salma K. Katz, Matthew S. Mukherjee, Somnath Rembielak, Agata Sebag-Montefiore, David Sher, David J. Terezakis, Stephanie A. Thomas, Toms V. Vogel, Jennifer Estes, Christopher |
author_sort | Thomson, David J. |
collection | PubMed |
description | PURPOSE: Numerous publications during the COVID-19 pandemic recommended the use of hypofractionated radiation therapy. This project assessed aggregate changes in the quality of the evidence supporting these schedules to establish a comprehensive evidence base for future reference and highlight aspects for future study. METHODS AND MATERIALS: Based on a systematic review of published recommendations related to dose fractionation during the COVID-19 pandemic, 20 expert panelists assigned to 14 disease groups named and graded the highest quality of evidence schedule(s) used routinely for each condition and also graded all COVID-era recommended schedules. The American Society for Radiation Oncology quality of evidence criteria were used to rank the schedules. Process-related statistics and changes in distributions of quality ratings of the highest-rated versus recommended COVID-19 era schedules were described by disease groups and for specific clinical scenarios. RESULTS: From January to May 2020 there were 54 relevant publications, including 233 recommended COVID-19–adapted dose fractionations. For site-specific curative and site-specific palliative schedules, there was a significant shift from established higher-quality evidence to lower-quality evidence and expert opinions for the recommended schedules (P = .022 and P < .001, respectively). For curative-intent schedules, the distribution of quality scores was essentially reversed (highest levels of evidence "pre-COVID" vs "in-COVID": high quality, 51.4% vs 4.8%; expert opinion, 5.6% vs 49.3%), although there was variation in the magnitude of shifts between disease sites and among specific indications. CONCLUSIONS: A large number of publications recommended hypofractionated radiation therapy schedules across numerous major disease sites during the COVID-19 pandemic, which were supported by a lower quality of evidence than the highest-quality routinely used dose fractionation schedules. This work provides an evidence-based assessment of these potentially practice-changing recommendations and informs individualized decision-making and counseling of patients. These data could also be used to support radiation therapy practices in the event of second waves or surges of the pandemic in new regions of the world. |
format | Online Article Text |
id | pubmed-7834196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78341962021-01-26 Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development Thomson, David J. Yom, Sue S. Saeed, Hina El Naqa, Issam Ballas, Leslie Bentzen, Soren M. Chao, Samuel T. Choudhury, Ananya Coles, Charlotte E. Dover, Laura Guadagnolo, B. Ashleigh Guckenberger, Matthias Hoskin, Peter Jabbour, Salma K. Katz, Matthew S. Mukherjee, Somnath Rembielak, Agata Sebag-Montefiore, David Sher, David J. Terezakis, Stephanie A. Thomas, Toms V. Vogel, Jennifer Estes, Christopher Int J Radiat Oncol Biol Phys Fractionation and Changes in Patient Care PURPOSE: Numerous publications during the COVID-19 pandemic recommended the use of hypofractionated radiation therapy. This project assessed aggregate changes in the quality of the evidence supporting these schedules to establish a comprehensive evidence base for future reference and highlight aspects for future study. METHODS AND MATERIALS: Based on a systematic review of published recommendations related to dose fractionation during the COVID-19 pandemic, 20 expert panelists assigned to 14 disease groups named and graded the highest quality of evidence schedule(s) used routinely for each condition and also graded all COVID-era recommended schedules. The American Society for Radiation Oncology quality of evidence criteria were used to rank the schedules. Process-related statistics and changes in distributions of quality ratings of the highest-rated versus recommended COVID-19 era schedules were described by disease groups and for specific clinical scenarios. RESULTS: From January to May 2020 there were 54 relevant publications, including 233 recommended COVID-19–adapted dose fractionations. For site-specific curative and site-specific palliative schedules, there was a significant shift from established higher-quality evidence to lower-quality evidence and expert opinions for the recommended schedules (P = .022 and P < .001, respectively). For curative-intent schedules, the distribution of quality scores was essentially reversed (highest levels of evidence "pre-COVID" vs "in-COVID": high quality, 51.4% vs 4.8%; expert opinion, 5.6% vs 49.3%), although there was variation in the magnitude of shifts between disease sites and among specific indications. CONCLUSIONS: A large number of publications recommended hypofractionated radiation therapy schedules across numerous major disease sites during the COVID-19 pandemic, which were supported by a lower quality of evidence than the highest-quality routinely used dose fractionation schedules. This work provides an evidence-based assessment of these potentially practice-changing recommendations and informs individualized decision-making and counseling of patients. These data could also be used to support radiation therapy practices in the event of second waves or surges of the pandemic in new regions of the world. Elsevier Inc. 2020-10-01 2020-08-11 /pmc/articles/PMC7834196/ /pubmed/32798063 http://dx.doi.org/10.1016/j.ijrobp.2020.06.054 Text en © 2020 Elsevier Inc. 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 | Fractionation and Changes in Patient Care Thomson, David J. Yom, Sue S. Saeed, Hina El Naqa, Issam Ballas, Leslie Bentzen, Soren M. Chao, Samuel T. Choudhury, Ananya Coles, Charlotte E. Dover, Laura Guadagnolo, B. Ashleigh Guckenberger, Matthias Hoskin, Peter Jabbour, Salma K. Katz, Matthew S. Mukherjee, Somnath Rembielak, Agata Sebag-Montefiore, David Sher, David J. Terezakis, Stephanie A. Thomas, Toms V. Vogel, Jennifer Estes, Christopher Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development |
title | Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development |
title_full | Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development |
title_fullStr | Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development |
title_full_unstemmed | Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development |
title_short | Radiation Fractionation Schedules Published During the COVID-19 Pandemic: A Systematic Review of the Quality of Evidence and Recommendations for Future Development |
title_sort | radiation fractionation schedules published during the covid-19 pandemic: a systematic review of the quality of evidence and recommendations for future development |
topic | Fractionation and Changes in Patient Care |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834196/ https://www.ncbi.nlm.nih.gov/pubmed/32798063 http://dx.doi.org/10.1016/j.ijrobp.2020.06.054 |
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