Did the COVID-19 pandemic delay treatment for localized breast cancer patients? A multicenter study
Longer times between diagnosis and treatments of cancer patients have been estimated as effects of the COVID-19 pandemic. However, relatively few studies attempted to estimate actual delay to treatment at the patient level. To assess changes in delays to first treatment and surgery among newly diagn...
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creator | Zhou, Ke Robert, Marie Seegers, Valérie Blanc-Lapierre, Audrey Savouroux, Stéphane Bigot, Frédéric Frenel, Jean-Sébastien Campone, Mario Conroy, Thierry Penault-Llorca, Frédérique Raoul, Jean-Luc Bellanger, Martine M |
description | Longer times between diagnosis and treatments of cancer patients have been estimated as effects of the COVID-19 pandemic. However, relatively few studies attempted to estimate actual delay to treatment at the patient level.
To assess changes in delays to first treatment and surgery among newly diagnosed patients with localized breast cancer (BC) during the COVID-19 pandemic.
We used data from the PAPESCO-19 multicenter cohort study, which included patients from 4 French comprehensive cancer centers. We measured the delay to first treatment as the number of days between diagnosis and the first treatment regardless of whether this was neoadjuvant chemotherapy or surgery. COVID-19 pandemic exposure was estimated with a composite index that considered both the severity of the pandemic and the level of lockdown restrictions. We ran generalized linear models with a log link function and a gamma distribution to model the association between delay and the pandemic.
Of the 187 patients included in the analysis, the median delay to first treatment was 42 (IQR:32-54) days for patients diagnosed before and after the start of the 1st lockdown (N = 99 and 88, respectively). After adjusting for age and centers of inclusion, a higher composite pandemic index (> = 50 V.S. |
doi_str_mv | 10.1371/journal.pone.0304556 |
format | Article |
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To assess changes in delays to first treatment and surgery among newly diagnosed patients with localized breast cancer (BC) during the COVID-19 pandemic.
We used data from the PAPESCO-19 multicenter cohort study, which included patients from 4 French comprehensive cancer centers. We measured the delay to first treatment as the number of days between diagnosis and the first treatment regardless of whether this was neoadjuvant chemotherapy or surgery. COVID-19 pandemic exposure was estimated with a composite index that considered both the severity of the pandemic and the level of lockdown restrictions. We ran generalized linear models with a log link function and a gamma distribution to model the association between delay and the pandemic.
Of the 187 patients included in the analysis, the median delay to first treatment was 42 (IQR:32-54) days for patients diagnosed before and after the start of the 1st lockdown (N = 99 and 88, respectively). After adjusting for age and centers of inclusion, a higher composite pandemic index (> = 50 V.S. <50) had only a small, non-significant effect on times to treatment. Longer delays were associated with factors other than the COVID-19 pandemic.
We found evidence of no direct impact of the pandemic on the actual delay to treatment among patients with localized BC.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0304556</identifier><identifier>PMID: 38820299</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Analysis ; Breast cancer ; Breast Neoplasms - epidemiology ; Breast Neoplasms - therapy ; Cancer ; Cancer patients ; Cancer therapies ; Chemotherapy ; Cohort Studies ; Comorbidity ; COVID-19 ; COVID-19 - epidemiology ; Delay ; Diagnosis ; Drug therapy ; Female ; France - epidemiology ; Humans ; Life Sciences ; Medical diagnosis ; Middle Aged ; Oncology, Experimental ; Pandemics ; Patients ; Probability distribution functions ; Public health ; SARS-CoV-2 - isolation & purification ; Statistical models ; Surgery ; Surveillance ; Time-to-Treatment - statistics & numerical data</subject><ispartof>PloS one, 2024-05, Vol.19 (5), p.e0304556</ispartof><rights>Copyright: © 2024 Zhou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Zhou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><rights>2024 Zhou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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><cites>FETCH-LOGICAL-c550t-14b5571df31f6e1e9aca4f9946e39eb0ca9d95ef5a67402108069315a3010cc43</cites><orcidid>0000-0002-5273-0561 ; 0000-0003-1221-0008 ; 0000-0002-1892-8961</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0304556&type=printable$$EPDF$$P50$$Gplos$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304556$$EHTML$$P50$$Gplos$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,860,881,2096,2915,23845,27901,27902,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38820299$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04662016$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhou, Ke</creatorcontrib><creatorcontrib>Robert, Marie</creatorcontrib><creatorcontrib>Seegers, Valérie</creatorcontrib><creatorcontrib>Blanc-Lapierre, Audrey</creatorcontrib><creatorcontrib>Savouroux, Stéphane</creatorcontrib><creatorcontrib>Bigot, Frédéric</creatorcontrib><creatorcontrib>Frenel, Jean-Sébastien</creatorcontrib><creatorcontrib>Campone, Mario</creatorcontrib><creatorcontrib>Conroy, Thierry</creatorcontrib><creatorcontrib>Penault-Llorca, Frédérique</creatorcontrib><creatorcontrib>Raoul, Jean-Luc</creatorcontrib><creatorcontrib>Bellanger, Martine M</creatorcontrib><title>Did the COVID-19 pandemic delay treatment for localized breast cancer patients? A multicenter study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Longer times between diagnosis and treatments of cancer patients have been estimated as effects of the COVID-19 pandemic. However, relatively few studies attempted to estimate actual delay to treatment at the patient level.
To assess changes in delays to first treatment and surgery among newly diagnosed patients with localized breast cancer (BC) during the COVID-19 pandemic.
We used data from the PAPESCO-19 multicenter cohort study, which included patients from 4 French comprehensive cancer centers. We measured the delay to first treatment as the number of days between diagnosis and the first treatment regardless of whether this was neoadjuvant chemotherapy or surgery. COVID-19 pandemic exposure was estimated with a composite index that considered both the severity of the pandemic and the level of lockdown restrictions. We ran generalized linear models with a log link function and a gamma distribution to model the association between delay and the pandemic.
Of the 187 patients included in the analysis, the median delay to first treatment was 42 (IQR:32-54) days for patients diagnosed before and after the start of the 1st lockdown (N = 99 and 88, respectively). After adjusting for age and centers of inclusion, a higher composite pandemic index (> = 50 V.S. <50) had only a small, non-significant effect on times to treatment. Longer delays were associated with factors other than the COVID-19 pandemic.
We found evidence of no direct impact of the pandemic on the actual delay to treatment among patients with localized BC.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - epidemiology</subject><subject>Breast Neoplasms - therapy</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Cohort Studies</subject><subject>Comorbidity</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Delay</subject><subject>Diagnosis</subject><subject>Drug therapy</subject><subject>Female</subject><subject>France - epidemiology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Medical diagnosis</subject><subject>Middle Aged</subject><subject>Oncology, Experimental</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Probability distribution functions</subject><subject>Public health</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>Statistical models</subject><subject>Surgery</subject><subject>Surveillance</subject><subject>Time-to-Treatment - statistics & numerical data</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1r2zAYhc3YWLtu_2BshsFYL5Lpw1KsqxHSbQ0EAvvorXgtyYmDbKWSPJb9-imJW5rRi-EL2S_PObw-Oln2GqMxphP8ceN634Edb11nxoiigjH-JDvHgpIRJ4g-ffB-lr0IYYMQoyXnz7MzWpYEESHOM3XV6DyuTT5b3syvRljkW-i0aRuVa2Nhl0dvILami3ntfG6dAtv8MTqv0jzEXEGnjE-i2CQmfMqnedvb2Kj0leYh9nr3MntWgw3m1XBeZD-_fP4xux4tll_ns-lipBhDcYSLirEJ1jXFNTfYCFBQ1EIU3FBhKqRAaMFMzYBPCkQwKhEXFDOgCCOlCnqRvT36bq0LcsgnSJowIggVNBHzI6EdbOTWNy34nXTQyMPA-ZUEn5a3RmrFNACHkpKqEByLskJaEKJLojmu6-R1efRagz2xup4u5H6GCp6yx_wXTuyHYTPvbnsTomyboIy10BnXH1akBUeMlQl99w_6-I8M1ArSrk1Xu-hB7U3ldCKYQKSckESNH6HSc7jg1Ju6SfMTweWJIDHR_I4r6EOQ8-_f_p9d3pyy7x-wawM2roOzfWxcF07B4ggq70Lwpr5PFiO5r_1dGnJfeznUPsneDKH1VWv0veiu5_Qv4_D5KQ</recordid><startdate>20240531</startdate><enddate>20240531</enddate><creator>Zhou, Ke</creator><creator>Robert, Marie</creator><creator>Seegers, Valérie</creator><creator>Blanc-Lapierre, Audrey</creator><creator>Savouroux, Stéphane</creator><creator>Bigot, Frédéric</creator><creator>Frenel, Jean-Sébastien</creator><creator>Campone, Mario</creator><creator>Conroy, Thierry</creator><creator>Penault-Llorca, Frédérique</creator><creator>Raoul, Jean-Luc</creator><creator>Bellanger, Martine M</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5273-0561</orcidid><orcidid>https://orcid.org/0000-0003-1221-0008</orcidid><orcidid>https://orcid.org/0000-0002-1892-8961</orcidid></search><sort><creationdate>20240531</creationdate><title>Did the COVID-19 pandemic delay treatment for localized breast cancer patients? A multicenter study</title><author>Zhou, Ke ; Robert, Marie ; Seegers, Valérie ; Blanc-Lapierre, Audrey ; Savouroux, Stéphane ; Bigot, Frédéric ; Frenel, Jean-Sébastien ; Campone, Mario ; Conroy, Thierry ; Penault-Llorca, Frédérique ; Raoul, Jean-Luc ; Bellanger, Martine M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c550t-14b5571df31f6e1e9aca4f9946e39eb0ca9d95ef5a67402108069315a3010cc43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - epidemiology</topic><topic>Breast Neoplasms - therapy</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Cohort Studies</topic><topic>Comorbidity</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Delay</topic><topic>Diagnosis</topic><topic>Drug therapy</topic><topic>Female</topic><topic>France - 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A multicenter study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-05-31</date><risdate>2024</risdate><volume>19</volume><issue>5</issue><spage>e0304556</spage><pages>e0304556-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Longer times between diagnosis and treatments of cancer patients have been estimated as effects of the COVID-19 pandemic. However, relatively few studies attempted to estimate actual delay to treatment at the patient level.
To assess changes in delays to first treatment and surgery among newly diagnosed patients with localized breast cancer (BC) during the COVID-19 pandemic.
We used data from the PAPESCO-19 multicenter cohort study, which included patients from 4 French comprehensive cancer centers. We measured the delay to first treatment as the number of days between diagnosis and the first treatment regardless of whether this was neoadjuvant chemotherapy or surgery. COVID-19 pandemic exposure was estimated with a composite index that considered both the severity of the pandemic and the level of lockdown restrictions. We ran generalized linear models with a log link function and a gamma distribution to model the association between delay and the pandemic.
Of the 187 patients included in the analysis, the median delay to first treatment was 42 (IQR:32-54) days for patients diagnosed before and after the start of the 1st lockdown (N = 99 and 88, respectively). After adjusting for age and centers of inclusion, a higher composite pandemic index (> = 50 V.S. <50) had only a small, non-significant effect on times to treatment. Longer delays were associated with factors other than the COVID-19 pandemic.
We found evidence of no direct impact of the pandemic on the actual delay to treatment among patients with localized BC.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38820299</pmid><doi>10.1371/journal.pone.0304556</doi><tpages>e0304556</tpages><orcidid>https://orcid.org/0000-0002-5273-0561</orcidid><orcidid>https://orcid.org/0000-0003-1221-0008</orcidid><orcidid>https://orcid.org/0000-0002-1892-8961</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Analysis Breast cancer Breast Neoplasms - epidemiology Breast Neoplasms - therapy Cancer Cancer patients Cancer therapies Chemotherapy Cohort Studies Comorbidity COVID-19 COVID-19 - epidemiology Delay Diagnosis Drug therapy Female France - epidemiology Humans Life Sciences Medical diagnosis Middle Aged Oncology, Experimental Pandemics Patients Probability distribution functions Public health SARS-CoV-2 - isolation & purification Statistical models Surgery Surveillance Time-to-Treatment - statistics & numerical data |
title | Did the COVID-19 pandemic delay treatment for localized breast cancer patients? A multicenter study |
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