The association of robotic lobectomy volume and nodal upstaging in non-small cell lung cancer
Robotic lung resection for lung cancer has gained popularity over the last 10 years. As with many surgical techniques, there are improvements in outcomes associated with increased operative volume. We sought to investigate lymph-node harvest and upstaging rates for robotic lobectomies performed at h...
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creator | Okusanya, Olugbenga T. Lutfi, Waseem Baker, Nicholas Dhupar, Rajeev Christie, Neil A. Levy, Ryan M. Martinez-Meehan, Deirdre Siripong, Nalyn Luketich, James D. Sarkaria, Inderpal S. |
description | Robotic lung resection for lung cancer has gained popularity over the last 10 years. As with many surgical techniques, there are improvements in outcomes associated with increased operative volume. We sought to investigate lymph-node harvest and upstaging rates for robotic lobectomies performed at hospitals with varying robotic experience. The National Cancer Data Base was queried for patients with early stage non-small cell lung cancer who received lobectomy between 2010 and 2015. Hospitals were stratified into volume categories based on the number of robotic resections performed, as a proxy for robotic experience: low at ≤ 12, low–middle 13–26, middle–high 27–52, and high volume at greater than or equal to 53. Lymph-node counts and nodal upstaging were compared among these volume categories. 8360 robotic lobectomies were performed. Mean lymph-node counts were for low, low–middle, middle–high, and high-volume robotic lobectomies were 9.8, 11.4, 12.9, and 12.6, respectively (
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doi_str_mv | 10.1007/s11701-020-01044-z |
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P
< 0.001), while nodal-upstaging rates were 10.3%, 10.2%, 12.8%, and 13.4%, respectively (
P
< 0.001). Compared to low-volume hospitals, on multivariable analysis, high-volume robotic centers had increased nodal harvest (
P
< 0.001) and nodal-upstaging rates (
P
< 0.001). Robotic lobectomies performed at high-volume hospitals have greater lymph-node harvest and upstaging than low-volume hospitals.</description><identifier>ISSN: 1863-2483</identifier><identifier>EISSN: 1863-2491</identifier><identifier>DOI: 10.1007/s11701-020-01044-z</identifier><identifier>PMID: 31950332</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Cancer therapies ; Education ; Histology ; Hospitals ; Lung cancer ; Lymph ; Lymphatic system ; Medicine ; Medicine & Public Health ; Minimally Invasive Surgery ; Nodes ; Original Article ; Patients ; Regression analysis ; Robotic surgery ; Surgeons ; Surgery ; Thoracic surgery ; Urology ; Variables</subject><ispartof>Journal of robotic surgery, 2020-10, Vol.14 (5), p.709-715</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2020</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-ced93a96b6450d45894e37834fb0a1151a64b2aab1875aa7c436515d39abce903</citedby><cites>FETCH-LOGICAL-c441t-ced93a96b6450d45894e37834fb0a1151a64b2aab1875aa7c436515d39abce903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11701-020-01044-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918717733?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,21389,27924,27925,33530,33531,33744,33745,41488,42557,43659,43805,51319,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31950332$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Okusanya, Olugbenga T.</creatorcontrib><creatorcontrib>Lutfi, Waseem</creatorcontrib><creatorcontrib>Baker, Nicholas</creatorcontrib><creatorcontrib>Dhupar, Rajeev</creatorcontrib><creatorcontrib>Christie, Neil A.</creatorcontrib><creatorcontrib>Levy, Ryan M.</creatorcontrib><creatorcontrib>Martinez-Meehan, Deirdre</creatorcontrib><creatorcontrib>Siripong, Nalyn</creatorcontrib><creatorcontrib>Luketich, James D.</creatorcontrib><creatorcontrib>Sarkaria, Inderpal S.</creatorcontrib><title>The association of robotic lobectomy volume and nodal upstaging in non-small cell lung cancer</title><title>Journal of robotic surgery</title><addtitle>J Robotic Surg</addtitle><addtitle>J Robot Surg</addtitle><description>Robotic lung resection for lung cancer has gained popularity over the last 10 years. As with many surgical techniques, there are improvements in outcomes associated with increased operative volume. We sought to investigate lymph-node harvest and upstaging rates for robotic lobectomies performed at hospitals with varying robotic experience. The National Cancer Data Base was queried for patients with early stage non-small cell lung cancer who received lobectomy between 2010 and 2015. Hospitals were stratified into volume categories based on the number of robotic resections performed, as a proxy for robotic experience: low at ≤ 12, low–middle 13–26, middle–high 27–52, and high volume at greater than or equal to 53. Lymph-node counts and nodal upstaging were compared among these volume categories. 8360 robotic lobectomies were performed. Mean lymph-node counts were for low, low–middle, middle–high, and high-volume robotic lobectomies were 9.8, 11.4, 12.9, and 12.6, respectively (
P
< 0.001), while nodal-upstaging rates were 10.3%, 10.2%, 12.8%, and 13.4%, respectively (
P
< 0.001). Compared to low-volume hospitals, on multivariable analysis, high-volume robotic centers had increased nodal harvest (
P
< 0.001) and nodal-upstaging rates (
P
< 0.001). Robotic lobectomies performed at high-volume hospitals have greater lymph-node harvest and upstaging than low-volume hospitals.</description><subject>Cancer therapies</subject><subject>Education</subject><subject>Histology</subject><subject>Hospitals</subject><subject>Lung cancer</subject><subject>Lymph</subject><subject>Lymphatic system</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Minimally Invasive Surgery</subject><subject>Nodes</subject><subject>Original Article</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Robotic surgery</subject><subject>Surgeons</subject><subject>Surgery</subject><subject>Thoracic surgery</subject><subject>Urology</subject><subject>Variables</subject><issn>1863-2483</issn><issn>1863-2491</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kE1P3DAQhq0KVD7aP8ABWeLSS4onY8fxsUK0RULiAkdkTRzvNiixt3ZSafn1GJZSqQcutjV-5p3Rw9gJiK8ghD7PAFpAJWpRCRBSVo8f2CG0DVa1NLD39m7xgB3l_CCE0grhIztAMEog1ofs_vaX55RzdAPNQww8rniKXZwHx8fYeTfHacv_xHGZChd6HmJPI182eab1ENZ8CKUUqjzROHLnyzEupewoOJ8-sf0Vjdl_fr2P2d33y9uLn9X1zY-ri2_XlZMS5sr53iCZpmukEr1UrZEedYty1QkCUECN7GqiDlqtiLST2ChQPRrqnDcCj9mXXe4mxd-Lz7Odhvy8DAUfl2xrlNAgaGMKevYf-hCXFMp2tjYlH7RGLFS9o1yKOSe_sps0TJS2FoR9lm938m2Rb1_k28fSdPoavXST799a_touAO6AXL7C2qd_s9-JfQLCwo9d</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Okusanya, Olugbenga T.</creator><creator>Lutfi, Waseem</creator><creator>Baker, Nicholas</creator><creator>Dhupar, Rajeev</creator><creator>Christie, Neil A.</creator><creator>Levy, Ryan M.</creator><creator>Martinez-Meehan, Deirdre</creator><creator>Siripong, Nalyn</creator><creator>Luketich, James D.</creator><creator>Sarkaria, Inderpal S.</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7X8</scope></search><sort><creationdate>20201001</creationdate><title>The association of robotic lobectomy volume and nodal upstaging in non-small cell lung cancer</title><author>Okusanya, Olugbenga T. ; Lutfi, Waseem ; Baker, Nicholas ; Dhupar, Rajeev ; Christie, Neil A. ; Levy, Ryan M. ; Martinez-Meehan, Deirdre ; Siripong, Nalyn ; Luketich, James D. ; Sarkaria, Inderpal S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-ced93a96b6450d45894e37834fb0a1151a64b2aab1875aa7c436515d39abce903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cancer therapies</topic><topic>Education</topic><topic>Histology</topic><topic>Hospitals</topic><topic>Lung cancer</topic><topic>Lymph</topic><topic>Lymphatic system</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Minimally Invasive Surgery</topic><topic>Nodes</topic><topic>Original Article</topic><topic>Patients</topic><topic>Regression analysis</topic><topic>Robotic surgery</topic><topic>Surgeons</topic><topic>Surgery</topic><topic>Thoracic surgery</topic><topic>Urology</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Okusanya, Olugbenga T.</creatorcontrib><creatorcontrib>Lutfi, Waseem</creatorcontrib><creatorcontrib>Baker, Nicholas</creatorcontrib><creatorcontrib>Dhupar, Rajeev</creatorcontrib><creatorcontrib>Christie, Neil A.</creatorcontrib><creatorcontrib>Levy, Ryan M.</creatorcontrib><creatorcontrib>Martinez-Meehan, Deirdre</creatorcontrib><creatorcontrib>Siripong, Nalyn</creatorcontrib><creatorcontrib>Luketich, James D.</creatorcontrib><creatorcontrib>Sarkaria, Inderpal S.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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 & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Engineering 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>Engineering Collection</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of robotic surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Okusanya, Olugbenga T.</au><au>Lutfi, Waseem</au><au>Baker, Nicholas</au><au>Dhupar, Rajeev</au><au>Christie, Neil A.</au><au>Levy, Ryan M.</au><au>Martinez-Meehan, Deirdre</au><au>Siripong, Nalyn</au><au>Luketich, James D.</au><au>Sarkaria, Inderpal S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The association of robotic lobectomy volume and nodal upstaging in non-small cell lung cancer</atitle><jtitle>Journal of robotic surgery</jtitle><stitle>J Robotic Surg</stitle><addtitle>J Robot Surg</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>14</volume><issue>5</issue><spage>709</spage><epage>715</epage><pages>709-715</pages><issn>1863-2483</issn><eissn>1863-2491</eissn><abstract>Robotic lung resection for lung cancer has gained popularity over the last 10 years. As with many surgical techniques, there are improvements in outcomes associated with increased operative volume. We sought to investigate lymph-node harvest and upstaging rates for robotic lobectomies performed at hospitals with varying robotic experience. The National Cancer Data Base was queried for patients with early stage non-small cell lung cancer who received lobectomy between 2010 and 2015. Hospitals were stratified into volume categories based on the number of robotic resections performed, as a proxy for robotic experience: low at ≤ 12, low–middle 13–26, middle–high 27–52, and high volume at greater than or equal to 53. Lymph-node counts and nodal upstaging were compared among these volume categories. 8360 robotic lobectomies were performed. Mean lymph-node counts were for low, low–middle, middle–high, and high-volume robotic lobectomies were 9.8, 11.4, 12.9, and 12.6, respectively (
P
< 0.001), while nodal-upstaging rates were 10.3%, 10.2%, 12.8%, and 13.4%, respectively (
P
< 0.001). Compared to low-volume hospitals, on multivariable analysis, high-volume robotic centers had increased nodal harvest (
P
< 0.001) and nodal-upstaging rates (
P
< 0.001). Robotic lobectomies performed at high-volume hospitals have greater lymph-node harvest and upstaging than low-volume hospitals.</abstract><cop>London</cop><pub>Springer London</pub><pmid>31950332</pmid><doi>10.1007/s11701-020-01044-z</doi><tpages>7</tpages></addata></record> |
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subjects | Cancer therapies Education Histology Hospitals Lung cancer Lymph Lymphatic system Medicine Medicine & Public Health Minimally Invasive Surgery Nodes Original Article Patients Regression analysis Robotic surgery Surgeons Surgery Thoracic surgery Urology Variables |
title | The association of robotic lobectomy volume and nodal upstaging in non-small cell lung cancer |
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