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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2024-05, Vol.19 (5), p.e0304556
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 5
container_start_page e0304556
container_title PloS one
container_volume 19
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
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3069292393</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A795902872</galeid><doaj_id>oai_doaj_org_article_dc5daa6a832b496198b0d922d82d61ff</doaj_id><sourcerecordid>A795902872</sourcerecordid><originalsourceid>FETCH-LOGICAL-c550t-14b5571df31f6e1e9aca4f9946e39eb0ca9d95ef5a67402108069315a3010cc43</originalsourceid><addsrcrecordid>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</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3069292393</pqid></control><display><type>article</type><title>Did the COVID-19 pandemic delay treatment for localized breast cancer patients? A multicenter study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><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</creator><creatorcontrib>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</creatorcontrib><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 (&gt; = 50 V.S. &lt;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 &amp; purification ; Statistical models ; Surgery ; Surveillance ; Time-to-Treatment - statistics &amp; 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&amp;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 (&gt; = 50 V.S. &lt;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 &amp; purification</subject><subject>Statistical models</subject><subject>Surgery</subject><subject>Surveillance</subject><subject>Time-to-Treatment - statistics &amp; 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 - epidemiology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Medical diagnosis</topic><topic>Middle Aged</topic><topic>Oncology, Experimental</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Probability distribution functions</topic><topic>Public health</topic><topic>SARS-CoV-2 - isolation &amp; purification</topic><topic>Statistical models</topic><topic>Surgery</topic><topic>Surveillance</topic><topic>Time-to-Treatment - statistics &amp; numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Ke</au><au>Robert, Marie</au><au>Seegers, Valérie</au><au>Blanc-Lapierre, Audrey</au><au>Savouroux, Stéphane</au><au>Bigot, Frédéric</au><au>Frenel, Jean-Sébastien</au><au>Campone, Mario</au><au>Conroy, Thierry</au><au>Penault-Llorca, Frédérique</au><au>Raoul, Jean-Luc</au><au>Bellanger, Martine M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Did the COVID-19 pandemic delay treatment for localized breast cancer patients? 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 (&gt; = 50 V.S. &lt;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>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2024-05, Vol.19 (5), p.e0304556
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_3069292393
source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T05%3A10%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Did%20the%20COVID-19%20pandemic%20delay%20treatment%20for%20localized%20breast%20cancer%20patients?%20A%20multicenter%20study&rft.jtitle=PloS%20one&rft.au=Zhou,%20Ke&rft.date=2024-05-31&rft.volume=19&rft.issue=5&rft.spage=e0304556&rft.pages=e0304556-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0304556&rft_dat=%3Cgale_plos_%3EA795902872%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3069292393&rft_id=info:pmid/38820299&rft_galeid=A795902872&rft_doaj_id=oai_doaj_org_article_dc5daa6a832b496198b0d922d82d61ff&rfr_iscdi=true