Time trends and predictors of survival in surgically resected early‐stage non–small cell lung cancer patients

Background The improvement in the management of lung cancer have the potential to improve survival in patients undergoing resection for early‐stage (stage I and II) non–small cell lung cancer (NSCLC), but few studies have evaluated time trends and identified predictors of overall survival (OS). Meth...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of surgical oncology 2020-09, Vol.122 (3), p.495-505
Hauptverfasser: Shewale, Jitesh B., Corsini, Erin M., Correa, Arlene M., Brown, Eric L., Leon‐Novelo, Luis G., Nyitray, Alan G., Antonoff, Mara B., Hofstetter, Wayne L., Mehran, Reza J., Rice, David C., Roth, Jack, Walsh, Garrett L., Vaporciyan, Ara A., Swisher, Stephen G., Sepesi, Boris
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 505
container_issue 3
container_start_page 495
container_title Journal of surgical oncology
container_volume 122
creator Shewale, Jitesh B.
Corsini, Erin M.
Correa, Arlene M.
Brown, Eric L.
Leon‐Novelo, Luis G.
Nyitray, Alan G.
Antonoff, Mara B.
Hofstetter, Wayne L.
Mehran, Reza J.
Rice, David C.
Roth, Jack
Walsh, Garrett L.
Vaporciyan, Ara A.
Swisher, Stephen G.
Sepesi, Boris
description Background The improvement in the management of lung cancer have the potential to improve survival in patients undergoing resection for early‐stage (stage I and II) non–small cell lung cancer (NSCLC), but few studies have evaluated time trends and identified predictors of overall survival (OS). Methods We identified surgically resected early‐stage NSCLC between 1998 and 2016. The 3‐year OS (1998‐2014) and 5‐year OS (1998‐2012) rates were calculated for each year. Joinpoint regression was used to calculate annual percentage changes (APC) and to test time trends in OS. Multivariable Cox regression was used to identify predictors of OS. Results There was a significant upward trend in the 3‐year (1998, 56%; 2014, 83%; APC = 1.8) and 5‐year (1998, 47%; 2012, 76%; APC = 3.1) OS. Older age; male sex; history of diabetes, coronary artery disease, and chronic obstructive pulmonary disease; high ASA score; smoking pack‐years; high‐grade tumor; pneumonectomy; thoracotomy; neoadjuvant therapy; nodal disease; and positive tumor margin were predictors of poor OS. Conclusion The upward time trend in OS suggests that improved staging, patient selection, and management have conferred a survival benefit in early‐stage NSCLC patients. The prediction model of OS could be used to refine selection criteria for resection and improve survival outcomes.
doi_str_mv 10.1002/jso.25966
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2397663354</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2429338979</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3536-4d0889663011df68652c450e418959c1779c6c541f7a9d8a63d34162c38c87e3</originalsourceid><addsrcrecordid>eNp1kctqGzEUhkVpaFyni75AEHSTLibRbTTSMoTcSsCLei8U6YyRmdE40kyKd3mEQt4wTxK5TrsoZCMJ9PHxn_Mj9JWSU0oIO1vn4ZTVWsoPaEaJlpUmWn1Es_LHKtFocog-57wmhGgtxSd0yBmvJWd0hh6WoQc8Jog-Yxs93iTwwY1DynhocZ7SY3i0HQ5x914FZ7tuixNkcCN4DDZ125en33m0K8BxiC9Pz7kvDHZQjm6KK-xsdJDwxo4B4piP0EFruwxf3u45Wl5dLi9uqrvF9e3F-V3leM1lJTxRqozECaW-lUrWzImagKBK19rRptFOulrQtrHaKyu554JK5rhyqgE-Ryd77SYNDxPk0fQh70LZCMOUDeO6KXZei4J--w9dD1OKJZxhgmnOlW50ob7vKZeGnBO0ZpNCb9PWUGJ2NZhSg_lTQ2GP34zTfQ_-H_l37wU42wO_Qgfb903mx8_FXvkKtIiTNA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2429338979</pqid></control><display><type>article</type><title>Time trends and predictors of survival in surgically resected early‐stage non–small cell lung cancer patients</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Shewale, Jitesh B. ; Corsini, Erin M. ; Correa, Arlene M. ; Brown, Eric L. ; Leon‐Novelo, Luis G. ; Nyitray, Alan G. ; Antonoff, Mara B. ; Hofstetter, Wayne L. ; Mehran, Reza J. ; Rice, David C. ; Roth, Jack ; Walsh, Garrett L. ; Vaporciyan, Ara A. ; Swisher, Stephen G. ; Sepesi, Boris</creator><creatorcontrib>Shewale, Jitesh B. ; Corsini, Erin M. ; Correa, Arlene M. ; Brown, Eric L. ; Leon‐Novelo, Luis G. ; Nyitray, Alan G. ; Antonoff, Mara B. ; Hofstetter, Wayne L. ; Mehran, Reza J. ; Rice, David C. ; Roth, Jack ; Walsh, Garrett L. ; Vaporciyan, Ara A. ; Swisher, Stephen G. ; Sepesi, Boris</creatorcontrib><description>Background The improvement in the management of lung cancer have the potential to improve survival in patients undergoing resection for early‐stage (stage I and II) non–small cell lung cancer (NSCLC), but few studies have evaluated time trends and identified predictors of overall survival (OS). Methods We identified surgically resected early‐stage NSCLC between 1998 and 2016. The 3‐year OS (1998‐2014) and 5‐year OS (1998‐2012) rates were calculated for each year. Joinpoint regression was used to calculate annual percentage changes (APC) and to test time trends in OS. Multivariable Cox regression was used to identify predictors of OS. Results There was a significant upward trend in the 3‐year (1998, 56%; 2014, 83%; APC = 1.8) and 5‐year (1998, 47%; 2012, 76%; APC = 3.1) OS. Older age; male sex; history of diabetes, coronary artery disease, and chronic obstructive pulmonary disease; high ASA score; smoking pack‐years; high‐grade tumor; pneumonectomy; thoracotomy; neoadjuvant therapy; nodal disease; and positive tumor margin were predictors of poor OS. Conclusion The upward time trend in OS suggests that improved staging, patient selection, and management have conferred a survival benefit in early‐stage NSCLC patients. The prediction model of OS could be used to refine selection criteria for resection and improve survival outcomes.</description><identifier>ISSN: 0022-4790</identifier><identifier>EISSN: 1096-9098</identifier><identifier>DOI: 10.1002/jso.25966</identifier><identifier>PMID: 32356321</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Cardiovascular disease ; early‐stage NSCLC ; Lung cancer ; lung resection ; nomogram ; Ostomy ; overall survival ; prediction model ; temporal trend ; Trends</subject><ispartof>Journal of surgical oncology, 2020-09, Vol.122 (3), p.495-505</ispartof><rights>2020 Wiley Periodicals, Inc.</rights><rights>2020 Wiley Periodicals LLC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3536-4d0889663011df68652c450e418959c1779c6c541f7a9d8a63d34162c38c87e3</citedby><cites>FETCH-LOGICAL-c3536-4d0889663011df68652c450e418959c1779c6c541f7a9d8a63d34162c38c87e3</cites><orcidid>0000-0002-1925-9712 ; 0000-0003-4715-0244</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjso.25966$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjso.25966$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32356321$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shewale, Jitesh B.</creatorcontrib><creatorcontrib>Corsini, Erin M.</creatorcontrib><creatorcontrib>Correa, Arlene M.</creatorcontrib><creatorcontrib>Brown, Eric L.</creatorcontrib><creatorcontrib>Leon‐Novelo, Luis G.</creatorcontrib><creatorcontrib>Nyitray, Alan G.</creatorcontrib><creatorcontrib>Antonoff, Mara B.</creatorcontrib><creatorcontrib>Hofstetter, Wayne L.</creatorcontrib><creatorcontrib>Mehran, Reza J.</creatorcontrib><creatorcontrib>Rice, David C.</creatorcontrib><creatorcontrib>Roth, Jack</creatorcontrib><creatorcontrib>Walsh, Garrett L.</creatorcontrib><creatorcontrib>Vaporciyan, Ara A.</creatorcontrib><creatorcontrib>Swisher, Stephen G.</creatorcontrib><creatorcontrib>Sepesi, Boris</creatorcontrib><title>Time trends and predictors of survival in surgically resected early‐stage non–small cell lung cancer patients</title><title>Journal of surgical oncology</title><addtitle>J Surg Oncol</addtitle><description>Background The improvement in the management of lung cancer have the potential to improve survival in patients undergoing resection for early‐stage (stage I and II) non–small cell lung cancer (NSCLC), but few studies have evaluated time trends and identified predictors of overall survival (OS). Methods We identified surgically resected early‐stage NSCLC between 1998 and 2016. The 3‐year OS (1998‐2014) and 5‐year OS (1998‐2012) rates were calculated for each year. Joinpoint regression was used to calculate annual percentage changes (APC) and to test time trends in OS. Multivariable Cox regression was used to identify predictors of OS. Results There was a significant upward trend in the 3‐year (1998, 56%; 2014, 83%; APC = 1.8) and 5‐year (1998, 47%; 2012, 76%; APC = 3.1) OS. Older age; male sex; history of diabetes, coronary artery disease, and chronic obstructive pulmonary disease; high ASA score; smoking pack‐years; high‐grade tumor; pneumonectomy; thoracotomy; neoadjuvant therapy; nodal disease; and positive tumor margin were predictors of poor OS. Conclusion The upward time trend in OS suggests that improved staging, patient selection, and management have conferred a survival benefit in early‐stage NSCLC patients. The prediction model of OS could be used to refine selection criteria for resection and improve survival outcomes.</description><subject>Cardiovascular disease</subject><subject>early‐stage NSCLC</subject><subject>Lung cancer</subject><subject>lung resection</subject><subject>nomogram</subject><subject>Ostomy</subject><subject>overall survival</subject><subject>prediction model</subject><subject>temporal trend</subject><subject>Trends</subject><issn>0022-4790</issn><issn>1096-9098</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kctqGzEUhkVpaFyni75AEHSTLibRbTTSMoTcSsCLei8U6YyRmdE40kyKd3mEQt4wTxK5TrsoZCMJ9PHxn_Mj9JWSU0oIO1vn4ZTVWsoPaEaJlpUmWn1Es_LHKtFocog-57wmhGgtxSd0yBmvJWd0hh6WoQc8Jog-Yxs93iTwwY1DynhocZ7SY3i0HQ5x914FZ7tuixNkcCN4DDZ125en33m0K8BxiC9Pz7kvDHZQjm6KK-xsdJDwxo4B4piP0EFruwxf3u45Wl5dLi9uqrvF9e3F-V3leM1lJTxRqozECaW-lUrWzImagKBK19rRptFOulrQtrHaKyu554JK5rhyqgE-Ryd77SYNDxPk0fQh70LZCMOUDeO6KXZei4J--w9dD1OKJZxhgmnOlW50ob7vKZeGnBO0ZpNCb9PWUGJ2NZhSg_lTQ2GP34zTfQ_-H_l37wU42wO_Qgfb903mx8_FXvkKtIiTNA</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Shewale, Jitesh B.</creator><creator>Corsini, Erin M.</creator><creator>Correa, Arlene M.</creator><creator>Brown, Eric L.</creator><creator>Leon‐Novelo, Luis G.</creator><creator>Nyitray, Alan G.</creator><creator>Antonoff, Mara B.</creator><creator>Hofstetter, Wayne L.</creator><creator>Mehran, Reza J.</creator><creator>Rice, David C.</creator><creator>Roth, Jack</creator><creator>Walsh, Garrett L.</creator><creator>Vaporciyan, Ara A.</creator><creator>Swisher, Stephen G.</creator><creator>Sepesi, Boris</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1925-9712</orcidid><orcidid>https://orcid.org/0000-0003-4715-0244</orcidid></search><sort><creationdate>20200901</creationdate><title>Time trends and predictors of survival in surgically resected early‐stage non–small cell lung cancer patients</title><author>Shewale, Jitesh B. ; Corsini, Erin M. ; Correa, Arlene M. ; Brown, Eric L. ; Leon‐Novelo, Luis G. ; Nyitray, Alan G. ; Antonoff, Mara B. ; Hofstetter, Wayne L. ; Mehran, Reza J. ; Rice, David C. ; Roth, Jack ; Walsh, Garrett L. ; Vaporciyan, Ara A. ; Swisher, Stephen G. ; Sepesi, Boris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3536-4d0889663011df68652c450e418959c1779c6c541f7a9d8a63d34162c38c87e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cardiovascular disease</topic><topic>early‐stage NSCLC</topic><topic>Lung cancer</topic><topic>lung resection</topic><topic>nomogram</topic><topic>Ostomy</topic><topic>overall survival</topic><topic>prediction model</topic><topic>temporal trend</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shewale, Jitesh B.</creatorcontrib><creatorcontrib>Corsini, Erin M.</creatorcontrib><creatorcontrib>Correa, Arlene M.</creatorcontrib><creatorcontrib>Brown, Eric L.</creatorcontrib><creatorcontrib>Leon‐Novelo, Luis G.</creatorcontrib><creatorcontrib>Nyitray, Alan G.</creatorcontrib><creatorcontrib>Antonoff, Mara B.</creatorcontrib><creatorcontrib>Hofstetter, Wayne L.</creatorcontrib><creatorcontrib>Mehran, Reza J.</creatorcontrib><creatorcontrib>Rice, David C.</creatorcontrib><creatorcontrib>Roth, Jack</creatorcontrib><creatorcontrib>Walsh, Garrett L.</creatorcontrib><creatorcontrib>Vaporciyan, Ara A.</creatorcontrib><creatorcontrib>Swisher, Stephen G.</creatorcontrib><creatorcontrib>Sepesi, Boris</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shewale, Jitesh B.</au><au>Corsini, Erin M.</au><au>Correa, Arlene M.</au><au>Brown, Eric L.</au><au>Leon‐Novelo, Luis G.</au><au>Nyitray, Alan G.</au><au>Antonoff, Mara B.</au><au>Hofstetter, Wayne L.</au><au>Mehran, Reza J.</au><au>Rice, David C.</au><au>Roth, Jack</au><au>Walsh, Garrett L.</au><au>Vaporciyan, Ara A.</au><au>Swisher, Stephen G.</au><au>Sepesi, Boris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Time trends and predictors of survival in surgically resected early‐stage non–small cell lung cancer patients</atitle><jtitle>Journal of surgical oncology</jtitle><addtitle>J Surg Oncol</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>122</volume><issue>3</issue><spage>495</spage><epage>505</epage><pages>495-505</pages><issn>0022-4790</issn><eissn>1096-9098</eissn><abstract>Background The improvement in the management of lung cancer have the potential to improve survival in patients undergoing resection for early‐stage (stage I and II) non–small cell lung cancer (NSCLC), but few studies have evaluated time trends and identified predictors of overall survival (OS). Methods We identified surgically resected early‐stage NSCLC between 1998 and 2016. The 3‐year OS (1998‐2014) and 5‐year OS (1998‐2012) rates were calculated for each year. Joinpoint regression was used to calculate annual percentage changes (APC) and to test time trends in OS. Multivariable Cox regression was used to identify predictors of OS. Results There was a significant upward trend in the 3‐year (1998, 56%; 2014, 83%; APC = 1.8) and 5‐year (1998, 47%; 2012, 76%; APC = 3.1) OS. Older age; male sex; history of diabetes, coronary artery disease, and chronic obstructive pulmonary disease; high ASA score; smoking pack‐years; high‐grade tumor; pneumonectomy; thoracotomy; neoadjuvant therapy; nodal disease; and positive tumor margin were predictors of poor OS. Conclusion The upward time trend in OS suggests that improved staging, patient selection, and management have conferred a survival benefit in early‐stage NSCLC patients. The prediction model of OS could be used to refine selection criteria for resection and improve survival outcomes.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32356321</pmid><doi>10.1002/jso.25966</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-1925-9712</orcidid><orcidid>https://orcid.org/0000-0003-4715-0244</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0022-4790
ispartof Journal of surgical oncology, 2020-09, Vol.122 (3), p.495-505
issn 0022-4790
1096-9098
language eng
recordid cdi_proquest_miscellaneous_2397663354
source Wiley Online Library Journals Frontfile Complete
subjects Cardiovascular disease
early‐stage NSCLC
Lung cancer
lung resection
nomogram
Ostomy
overall survival
prediction model
temporal trend
Trends
title Time trends and predictors of survival in surgically resected early‐stage non–small cell lung cancer patients
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T10%3A05%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Time%20trends%20and%20predictors%20of%20survival%20in%20surgically%20resected%20early%E2%80%90stage%20non%E2%80%93small%20cell%20lung%20cancer%20patients&rft.jtitle=Journal%20of%20surgical%20oncology&rft.au=Shewale,%20Jitesh%20B.&rft.date=2020-09-01&rft.volume=122&rft.issue=3&rft.spage=495&rft.epage=505&rft.pages=495-505&rft.issn=0022-4790&rft.eissn=1096-9098&rft_id=info:doi/10.1002/jso.25966&rft_dat=%3Cproquest_cross%3E2429338979%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2429338979&rft_id=info:pmid/32356321&rfr_iscdi=true