Changes in breast cancer treatment during the COVID-19 pandemic: a Dutch population-based study

Purpose We aimed to compare (1) treatments and time intervals between treatments of breast cancer patients diagnosed during and before the COVID-19 pandemic, and (2) the number of treatments started during and before the pandemic. Methods Women were selected from the Netherlands Cancer Registry. For...

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Veröffentlicht in:Breast cancer research and treatment 2023-01, Vol.197 (1), p.161-175
Hauptverfasser: Eijkelboom, Anouk H., de Munck, Linda, Menke-van der Houven van Oordt, C. Willemien, Broeders, Mireille J. M., van den Bongard, Desiree H. J. G., Strobbe, Luc J. A., Mureau, Marc A. M., Lobbes, Marc B. I., Westenend, Pieter J., Koppert, Linetta B., Jager, Agnes, Siemerink, Ester J. M., Wesseling, Jelle, Verkooijen, Helena M., Vrancken Peeters, Marie-Jeanne T. F. D., Smidt, Marjolein L., Tjan-Heijnen, Vivianne C. G., Siesling, Sabine
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container_issue 1
container_start_page 161
container_title Breast cancer research and treatment
container_volume 197
creator Eijkelboom, Anouk H.
de Munck, Linda
Menke-van der Houven van Oordt, C. Willemien
Broeders, Mireille J. M.
van den Bongard, Desiree H. J. G.
Strobbe, Luc J. A.
Mureau, Marc A. M.
Lobbes, Marc B. I.
Westenend, Pieter J.
Koppert, Linetta B.
Jager, Agnes
Siemerink, Ester J. M.
Wesseling, Jelle
Verkooijen, Helena M.
Vrancken Peeters, Marie-Jeanne T. F. D.
Smidt, Marjolein L.
Tjan-Heijnen, Vivianne C. G.
Siesling, Sabine
description Purpose We aimed to compare (1) treatments and time intervals between treatments of breast cancer patients diagnosed during and before the COVID-19 pandemic, and (2) the number of treatments started during and before the pandemic. Methods Women were selected from the Netherlands Cancer Registry. For aim one, odds ratios (OR) and 95% confidence intervals (95%CI) were calculated to compare the treatment of women diagnosed within four periods of 2020: pre-COVID (weeks 1–8), transition (weeks 9–12), lockdown (weeks 13–17), and care restart (weeks 18–26), with data from 2018/2019 as reference. Wilcoxon rank-sums test was used to compare treatment intervals, using a two-sided p -value 
doi_str_mv 10.1007/s10549-022-06732-y
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Willemien ; Broeders, Mireille J. M. ; van den Bongard, Desiree H. J. G. ; Strobbe, Luc J. A. ; Mureau, Marc A. M. ; Lobbes, Marc B. I. ; Westenend, Pieter J. ; Koppert, Linetta B. ; Jager, Agnes ; Siemerink, Ester J. M. ; Wesseling, Jelle ; Verkooijen, Helena M. ; Vrancken Peeters, Marie-Jeanne T. F. D. ; Smidt, Marjolein L. ; Tjan-Heijnen, Vivianne C. G. ; Siesling, Sabine</creator><creatorcontrib>Eijkelboom, Anouk H. ; de Munck, Linda ; Menke-van der Houven van Oordt, C. Willemien ; Broeders, Mireille J. M. ; van den Bongard, Desiree H. J. G. ; Strobbe, Luc J. A. ; Mureau, Marc A. M. ; Lobbes, Marc B. I. ; Westenend, Pieter J. ; Koppert, Linetta B. ; Jager, Agnes ; Siemerink, Ester J. M. ; Wesseling, Jelle ; Verkooijen, Helena M. ; Vrancken Peeters, Marie-Jeanne T. F. D. ; Smidt, Marjolein L. ; Tjan-Heijnen, Vivianne C. G. ; Siesling, Sabine ; COVID and Cancer Care-NL Consortium ; NABON-COVID-19 Consortium ; The COVID and Cancer Care-NL Consortium ; The NABON-COVID-19 Consortium</creatorcontrib><description>Purpose We aimed to compare (1) treatments and time intervals between treatments of breast cancer patients diagnosed during and before the COVID-19 pandemic, and (2) the number of treatments started during and before the pandemic. Methods Women were selected from the Netherlands Cancer Registry. For aim one, odds ratios (OR) and 95% confidence intervals (95%CI) were calculated to compare the treatment of women diagnosed within four periods of 2020: pre-COVID (weeks 1–8), transition (weeks 9–12), lockdown (weeks 13–17), and care restart (weeks 18–26), with data from 2018/2019 as reference. Wilcoxon rank-sums test was used to compare treatment intervals, using a two-sided p -value &lt; 0.05. For aim two, number of treatments started per week in 2020 was compared with 2018/2019. Results We selected 34,097 women for aim one. Compared to 2018/2019, neo-adjuvant chemotherapy was less likely for stage I (OR 0.24, 95%CI 0.11–0.53), stage II (OR 0.63, 95%CI 0.47–0.86), and hormone receptor+/HER2− tumors (OR 0.55, 95%CI 0.41–0.75) diagnosed during transition. Time between diagnosis and first treatment decreased for patients diagnosed during lockdown with a stage I ( p  &lt; 0.01), II ( p  &lt; 0.01) or III tumor ( p  = 0.01). We selected 30,002 women for aim two. The number of neo-adjuvant endocrine therapies and surgeries starting in week 14, 2020, increased by 339% and 18%, respectively. The number of adjuvant chemotherapies decreased by 42% in week 15 and increased by 44% in week 22. Conclusion The pandemic and subsequently altered treatment recommendations affected multiple aspects of the breast cancer treatment strategy and the number of treatments started per week.</description><identifier>ISSN: 0167-6806</identifier><identifier>EISSN: 1573-7217</identifier><identifier>DOI: 10.1007/s10549-022-06732-y</identifier><identifier>PMID: 36334188</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Breast cancer ; Cancer ; Cancer research ; Cancer therapies ; Chemotherapy ; Coronaviruses ; COVID-19 ; Drug therapy ; Endocrine therapy ; Epidemics ; Epidemiology ; ErbB-2 protein ; Medicine ; Medicine &amp; Public Health ; Oncology ; Oncology, Experimental ; Pandemics ; Patients ; Population studies ; Population-based studies ; Tumors</subject><ispartof>Breast cancer research and treatment, 2023-01, Vol.197 (1), p.161-175</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2023 Springer</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c572t-3272ccc65d2e11ea553e1fa6979cce576144143d481b28ba2913d9977f3b473a3</citedby><cites>FETCH-LOGICAL-c572t-3272ccc65d2e11ea553e1fa6979cce576144143d481b28ba2913d9977f3b473a3</cites><orcidid>0000-0002-0273-824X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10549-022-06732-y$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10549-022-06732-y$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36334188$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Eijkelboom, Anouk H.</creatorcontrib><creatorcontrib>de Munck, Linda</creatorcontrib><creatorcontrib>Menke-van der Houven van Oordt, C. Willemien</creatorcontrib><creatorcontrib>Broeders, Mireille J. M.</creatorcontrib><creatorcontrib>van den Bongard, Desiree H. J. G.</creatorcontrib><creatorcontrib>Strobbe, Luc J. A.</creatorcontrib><creatorcontrib>Mureau, Marc A. M.</creatorcontrib><creatorcontrib>Lobbes, Marc B. I.</creatorcontrib><creatorcontrib>Westenend, Pieter J.</creatorcontrib><creatorcontrib>Koppert, Linetta B.</creatorcontrib><creatorcontrib>Jager, Agnes</creatorcontrib><creatorcontrib>Siemerink, Ester J. M.</creatorcontrib><creatorcontrib>Wesseling, Jelle</creatorcontrib><creatorcontrib>Verkooijen, Helena M.</creatorcontrib><creatorcontrib>Vrancken Peeters, Marie-Jeanne T. F. D.</creatorcontrib><creatorcontrib>Smidt, Marjolein L.</creatorcontrib><creatorcontrib>Tjan-Heijnen, Vivianne C. G.</creatorcontrib><creatorcontrib>Siesling, Sabine</creatorcontrib><creatorcontrib>COVID and Cancer Care-NL Consortium</creatorcontrib><creatorcontrib>NABON-COVID-19 Consortium</creatorcontrib><creatorcontrib>The COVID and Cancer Care-NL Consortium</creatorcontrib><creatorcontrib>The NABON-COVID-19 Consortium</creatorcontrib><title>Changes in breast cancer treatment during the COVID-19 pandemic: a Dutch population-based study</title><title>Breast cancer research and treatment</title><addtitle>Breast Cancer Res Treat</addtitle><addtitle>Breast Cancer Res Treat</addtitle><description>Purpose We aimed to compare (1) treatments and time intervals between treatments of breast cancer patients diagnosed during and before the COVID-19 pandemic, and (2) the number of treatments started during and before the pandemic. Methods Women were selected from the Netherlands Cancer Registry. For aim one, odds ratios (OR) and 95% confidence intervals (95%CI) were calculated to compare the treatment of women diagnosed within four periods of 2020: pre-COVID (weeks 1–8), transition (weeks 9–12), lockdown (weeks 13–17), and care restart (weeks 18–26), with data from 2018/2019 as reference. Wilcoxon rank-sums test was used to compare treatment intervals, using a two-sided p -value &lt; 0.05. For aim two, number of treatments started per week in 2020 was compared with 2018/2019. Results We selected 34,097 women for aim one. Compared to 2018/2019, neo-adjuvant chemotherapy was less likely for stage I (OR 0.24, 95%CI 0.11–0.53), stage II (OR 0.63, 95%CI 0.47–0.86), and hormone receptor+/HER2− tumors (OR 0.55, 95%CI 0.41–0.75) diagnosed during transition. Time between diagnosis and first treatment decreased for patients diagnosed during lockdown with a stage I ( p  &lt; 0.01), II ( p  &lt; 0.01) or III tumor ( p  = 0.01). We selected 30,002 women for aim two. The number of neo-adjuvant endocrine therapies and surgeries starting in week 14, 2020, increased by 339% and 18%, respectively. The number of adjuvant chemotherapies decreased by 42% in week 15 and increased by 44% in week 22. Conclusion The pandemic and subsequently altered treatment recommendations affected multiple aspects of the breast cancer treatment strategy and the number of treatments started per week.</description><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer research</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Drug therapy</subject><subject>Endocrine therapy</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>ErbB-2 protein</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Oncology</subject><subject>Oncology, Experimental</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Population studies</subject><subject>Population-based studies</subject><subject>Tumors</subject><issn>0167-6806</issn><issn>1573-7217</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kl9rFDEUxQdR7Lb6BXyQgCC-TM2fmWTiQ6FsqxYKfVFfQyZzZydlNhmTjLDf3ky3tl0RyUNI8rsn9x5OUbwh-JRgLD5GgutKlpjSEnPBaLl7VqxILVgpKBHPixUmXJS8wfyoOI7xFmMsBZYviyPGGatI06wKtR6020BE1qE2gI4JGe0MBJTyKW3BJdTNwboNSgOg9c2Pq4uSSDRp18HWmk9Io4s5mQFNfppHnax3ZasjdCimudu9Kl70eozw-n4_Kb5_vvy2_lpe33y5Wp9fl6YWNJWMCmqM4XVHgRDQdc2A9JpLIY2BWnBSVaRiXdWQljatppKwTkohetZWgml2Upztdae53UJnct9Bj2oKdqvDTnlt1eGLs4Pa-F9KctZURGSBD_cCwf-cISa1tdHAOGoHfo6KZoNrxjlb0Hd_obd-Di6Pl6ncKZWUN4_URo-grOt9_tcsouo8a1UNZpXM1Ok_qLzu3PUOepvvDwrePykYQI9piH6cF-PjIUj3oAk-xgD9gxkEqyU_ap8flfOj7vKjdrno7VMbH0r-BCYDbA_EaQkFhMfZ_yP7G4uczic</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Eijkelboom, Anouk H.</creator><creator>de Munck, Linda</creator><creator>Menke-van der Houven van Oordt, C. 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Willemien ; Broeders, Mireille J. M. ; van den Bongard, Desiree H. J. G. ; Strobbe, Luc J. A. ; Mureau, Marc A. M. ; Lobbes, Marc B. I. ; Westenend, Pieter J. ; Koppert, Linetta B. ; Jager, Agnes ; Siemerink, Ester J. M. ; Wesseling, Jelle ; Verkooijen, Helena M. ; Vrancken Peeters, Marie-Jeanne T. F. D. ; Smidt, Marjolein L. ; Tjan-Heijnen, Vivianne C. 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Willemien</au><au>Broeders, Mireille J. M.</au><au>van den Bongard, Desiree H. J. G.</au><au>Strobbe, Luc J. A.</au><au>Mureau, Marc A. M.</au><au>Lobbes, Marc B. I.</au><au>Westenend, Pieter J.</au><au>Koppert, Linetta B.</au><au>Jager, Agnes</au><au>Siemerink, Ester J. M.</au><au>Wesseling, Jelle</au><au>Verkooijen, Helena M.</au><au>Vrancken Peeters, Marie-Jeanne T. F. D.</au><au>Smidt, Marjolein L.</au><au>Tjan-Heijnen, Vivianne C. G.</au><au>Siesling, Sabine</au><aucorp>COVID and Cancer Care-NL Consortium</aucorp><aucorp>NABON-COVID-19 Consortium</aucorp><aucorp>The COVID and Cancer Care-NL Consortium</aucorp><aucorp>The NABON-COVID-19 Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in breast cancer treatment during the COVID-19 pandemic: a Dutch population-based study</atitle><jtitle>Breast cancer research and treatment</jtitle><stitle>Breast Cancer Res Treat</stitle><addtitle>Breast Cancer Res Treat</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>197</volume><issue>1</issue><spage>161</spage><epage>175</epage><pages>161-175</pages><issn>0167-6806</issn><eissn>1573-7217</eissn><abstract>Purpose We aimed to compare (1) treatments and time intervals between treatments of breast cancer patients diagnosed during and before the COVID-19 pandemic, and (2) the number of treatments started during and before the pandemic. Methods Women were selected from the Netherlands Cancer Registry. For aim one, odds ratios (OR) and 95% confidence intervals (95%CI) were calculated to compare the treatment of women diagnosed within four periods of 2020: pre-COVID (weeks 1–8), transition (weeks 9–12), lockdown (weeks 13–17), and care restart (weeks 18–26), with data from 2018/2019 as reference. Wilcoxon rank-sums test was used to compare treatment intervals, using a two-sided p -value &lt; 0.05. For aim two, number of treatments started per week in 2020 was compared with 2018/2019. Results We selected 34,097 women for aim one. Compared to 2018/2019, neo-adjuvant chemotherapy was less likely for stage I (OR 0.24, 95%CI 0.11–0.53), stage II (OR 0.63, 95%CI 0.47–0.86), and hormone receptor+/HER2− tumors (OR 0.55, 95%CI 0.41–0.75) diagnosed during transition. Time between diagnosis and first treatment decreased for patients diagnosed during lockdown with a stage I ( p  &lt; 0.01), II ( p  &lt; 0.01) or III tumor ( p  = 0.01). We selected 30,002 women for aim two. The number of neo-adjuvant endocrine therapies and surgeries starting in week 14, 2020, increased by 339% and 18%, respectively. The number of adjuvant chemotherapies decreased by 42% in week 15 and increased by 44% in week 22. Conclusion The pandemic and subsequently altered treatment recommendations affected multiple aspects of the breast cancer treatment strategy and the number of treatments started per week.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>36334188</pmid><doi>10.1007/s10549-022-06732-y</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-0273-824X</orcidid><oa>free_for_read</oa></addata></record>
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subjects Breast cancer
Cancer
Cancer research
Cancer therapies
Chemotherapy
Coronaviruses
COVID-19
Drug therapy
Endocrine therapy
Epidemics
Epidemiology
ErbB-2 protein
Medicine
Medicine & Public Health
Oncology
Oncology, Experimental
Pandemics
Patients
Population studies
Population-based studies
Tumors
title Changes in breast cancer treatment during the COVID-19 pandemic: a Dutch population-based study
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