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...
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Veröffentlicht in: | Journal of surgical oncology 2020-09, Vol.122 (3), p.495-505 |
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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 |
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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 & 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> |
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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 |
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