Cognitive impairment three months after surgery is an independent predictor of survival time in glioblastoma patients
Purpose Cognitive functioning is increasingly investigated for its prognostic value in glioblastoma (GBM) patients, but the association of cognitive status during early adjuvant treatment with survival time is unclear. The aim of this study was to determine whether cognitive performance three months...
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Veröffentlicht in: | Journal of neuro-oncology 2020-08, Vol.149 (1), p.103-111 |
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creator | Butterbrod, Elke Synhaeve, Nathalie Rutten, Geert-Jan Schwabe, Inga Gehring, Karin Sitskoorn, Margriet |
description | Purpose
Cognitive functioning is increasingly investigated for its prognostic value in glioblastoma (GBM) patients, but the association of cognitive status during early adjuvant treatment with survival time is unclear. The aim of this study was to determine whether cognitive performance three months after surgical resection predicted survival time, while using a clinically intuitive time ratio (TR) statistic.
Methods
Newly diagnosed patients with GBM undergoing resection between November 2010 and February 2018 completed computerized cognitive assessment 3 months after surgery with the CNS Vital Signs battery (8 measures). The association of cognitive performance (continuous Z scores and dichotomous impairment status; impaired vs. unimpaired) with survival time was assessed with multivariate Accelerated Failure Time (AFT) models that also included clinical prognostic factors and covariates related to cognitive performances.
Results
114 patients were included in the analyses (median survival time 16.4 months). Of the clinical factors, postoperative Karnofsky Performance Status (TR 1.51), surgical (TR 2.20) and non-surgical (TR 1.94) salvage treatment, and pre-surgical tumor volume (cm
3
, TR 1.003) were significant independent predictors of survival time. Independently of the base model factors and covariates, impairment on Stroop test I and Stroop test III estimated 23% and 26% reduction of survival time (TR 0.77, TR 0.74) respectively, as compared to unimpaired performance.
Conclusion
These findings suggest that impaired performances on tests of executive control and processing speed in the early phase of adjuvant treatment can reflect a worse prognostic outlook rather than an early treatment effect, and their assessment might allow for early refinement of current prognostic stratification. |
doi_str_mv | 10.1007/s11060-020-03577-7 |
format | Article |
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Cognitive functioning is increasingly investigated for its prognostic value in glioblastoma (GBM) patients, but the association of cognitive status during early adjuvant treatment with survival time is unclear. The aim of this study was to determine whether cognitive performance three months after surgical resection predicted survival time, while using a clinically intuitive time ratio (TR) statistic.
Methods
Newly diagnosed patients with GBM undergoing resection between November 2010 and February 2018 completed computerized cognitive assessment 3 months after surgery with the CNS Vital Signs battery (8 measures). The association of cognitive performance (continuous Z scores and dichotomous impairment status; impaired vs. unimpaired) with survival time was assessed with multivariate Accelerated Failure Time (AFT) models that also included clinical prognostic factors and covariates related to cognitive performances.
Results
114 patients were included in the analyses (median survival time 16.4 months). Of the clinical factors, postoperative Karnofsky Performance Status (TR 1.51), surgical (TR 2.20) and non-surgical (TR 1.94) salvage treatment, and pre-surgical tumor volume (cm
3
, TR 1.003) were significant independent predictors of survival time. Independently of the base model factors and covariates, impairment on Stroop test I and Stroop test III estimated 23% and 26% reduction of survival time (TR 0.77, TR 0.74) respectively, as compared to unimpaired performance.
Conclusion
These findings suggest that impaired performances on tests of executive control and processing speed in the early phase of adjuvant treatment can reflect a worse prognostic outlook rather than an early treatment effect, and their assessment might allow for early refinement of current prognostic stratification.</description><identifier>ISSN: 0167-594X</identifier><identifier>EISSN: 1573-7373</identifier><identifier>DOI: 10.1007/s11060-020-03577-7</identifier><identifier>PMID: 32643066</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Brain cancer ; Clinical Neurology ; Clinical Study ; Cognitive ability ; Executive function ; Glioblastoma ; Life Sciences & Biomedicine ; Medical prognosis ; Medicine ; Medicine & Public Health ; Neurology ; Neurosciences & Neurology ; Oncology ; Patients ; Science & Technology ; Surgery ; Survival</subject><ispartof>Journal of neuro-oncology, 2020-08, Vol.149 (1), p.103-111</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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>true</woscitedreferencessubscribed><woscitedreferencescount>12</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000546515900001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c474t-d17ce3733aec4fc4b12555be8fe19fe702916affa6ef89c08dc516ce79277edb3</citedby><cites>FETCH-LOGICAL-c474t-d17ce3733aec4fc4b12555be8fe19fe702916affa6ef89c08dc516ce79277edb3</cites><orcidid>0000-0002-7181-1455</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11060-020-03577-7$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11060-020-03577-7$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,315,782,786,887,27931,27932,28255,28256,41495,42564,51326</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32643066$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Butterbrod, Elke</creatorcontrib><creatorcontrib>Synhaeve, Nathalie</creatorcontrib><creatorcontrib>Rutten, Geert-Jan</creatorcontrib><creatorcontrib>Schwabe, Inga</creatorcontrib><creatorcontrib>Gehring, Karin</creatorcontrib><creatorcontrib>Sitskoorn, Margriet</creatorcontrib><title>Cognitive impairment three months after surgery is an independent predictor of survival time in glioblastoma patients</title><title>Journal of neuro-oncology</title><addtitle>J Neurooncol</addtitle><addtitle>J NEURO-ONCOL</addtitle><addtitle>J Neurooncol</addtitle><description>Purpose
Cognitive functioning is increasingly investigated for its prognostic value in glioblastoma (GBM) patients, but the association of cognitive status during early adjuvant treatment with survival time is unclear. The aim of this study was to determine whether cognitive performance three months after surgical resection predicted survival time, while using a clinically intuitive time ratio (TR) statistic.
Methods
Newly diagnosed patients with GBM undergoing resection between November 2010 and February 2018 completed computerized cognitive assessment 3 months after surgery with the CNS Vital Signs battery (8 measures). The association of cognitive performance (continuous Z scores and dichotomous impairment status; impaired vs. unimpaired) with survival time was assessed with multivariate Accelerated Failure Time (AFT) models that also included clinical prognostic factors and covariates related to cognitive performances.
Results
114 patients were included in the analyses (median survival time 16.4 months). Of the clinical factors, postoperative Karnofsky Performance Status (TR 1.51), surgical (TR 2.20) and non-surgical (TR 1.94) salvage treatment, and pre-surgical tumor volume (cm
3
, TR 1.003) were significant independent predictors of survival time. Independently of the base model factors and covariates, impairment on Stroop test I and Stroop test III estimated 23% and 26% reduction of survival time (TR 0.77, TR 0.74) respectively, as compared to unimpaired performance.
Conclusion
These findings suggest that impaired performances on tests of executive control and processing speed in the early phase of adjuvant treatment can reflect a worse prognostic outlook rather than an early treatment effect, and their assessment might allow for early refinement of current prognostic stratification.</description><subject>Brain cancer</subject><subject>Clinical Neurology</subject><subject>Clinical Study</subject><subject>Cognitive ability</subject><subject>Executive function</subject><subject>Glioblastoma</subject><subject>Life Sciences & Biomedicine</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neurology</subject><subject>Neurosciences & Neurology</subject><subject>Oncology</subject><subject>Patients</subject><subject>Science & Technology</subject><subject>Surgery</subject><subject>Survival</subject><issn>0167-594X</issn><issn>1573-7373</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNks2P1CAYxhujcWdX_wEPhsSLialCgdJeTMxEV5NNvGjijVD6MsOmhQp0zP73vuus48fBeOAj8HteeHioqieMvmSUqleZMdrSmjbYuFSqVveqDZOK14orfr_aUNaqWvbiy1l1nvM1pVQozh5WZ7xpBadtu6nWbdwFX_wBiJ8X49MMoZCyTwBkjqHsMzGuQCJ5TTtIN8TjQiA-jLAAdggvCUZvS0wkulvs4A9mIsXPWDKQ3eTjMJlc4mzIYopHSX5UPXBmyvD4bryoPr97-2n7vr76ePlh--aqtkKJUo9MWUAr3IAVzoqBNVLKAToHrHegaNOz1jhnWnBdb2k3WslaC6pvlIJx4BfV62PdZR1mGC2encykl-Rnk250NF7_uRP8Xu_iQSshm64TWOD5XYEUv66Qi559tjBNJkBcs25E01DKey4RffYXeh3XFNAeUly1CHU9Us2RsinmnMCdLsOovk1VH1PVmKr-kapWKHr6u42T5GeMCHRH4BsM0WWLj2zhhGHuUrSSyR5nlG19wRhi2MY1FJS--H8p0vxIZyQCfohfJv9x_-9xKNIu</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Butterbrod, Elke</creator><creator>Synhaeve, Nathalie</creator><creator>Rutten, Geert-Jan</creator><creator>Schwabe, Inga</creator><creator>Gehring, Karin</creator><creator>Sitskoorn, Margriet</creator><general>Springer US</general><general>Springer Nature</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7181-1455</orcidid></search><sort><creationdate>20200801</creationdate><title>Cognitive impairment three months after surgery is an independent predictor of survival time in glioblastoma patients</title><author>Butterbrod, Elke ; Synhaeve, Nathalie ; Rutten, Geert-Jan ; Schwabe, Inga ; Gehring, Karin ; Sitskoorn, Margriet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-d17ce3733aec4fc4b12555be8fe19fe702916affa6ef89c08dc516ce79277edb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Brain cancer</topic><topic>Clinical Neurology</topic><topic>Clinical Study</topic><topic>Cognitive ability</topic><topic>Executive function</topic><topic>Glioblastoma</topic><topic>Life Sciences & Biomedicine</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neurology</topic><topic>Neurosciences & Neurology</topic><topic>Oncology</topic><topic>Patients</topic><topic>Science & Technology</topic><topic>Surgery</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Butterbrod, Elke</creatorcontrib><creatorcontrib>Synhaeve, Nathalie</creatorcontrib><creatorcontrib>Rutten, Geert-Jan</creatorcontrib><creatorcontrib>Schwabe, Inga</creatorcontrib><creatorcontrib>Gehring, Karin</creatorcontrib><creatorcontrib>Sitskoorn, Margriet</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & 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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of neuro-oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Butterbrod, Elke</au><au>Synhaeve, Nathalie</au><au>Rutten, Geert-Jan</au><au>Schwabe, Inga</au><au>Gehring, Karin</au><au>Sitskoorn, Margriet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cognitive impairment three months after surgery is an independent predictor of survival time in glioblastoma patients</atitle><jtitle>Journal of neuro-oncology</jtitle><stitle>J Neurooncol</stitle><stitle>J NEURO-ONCOL</stitle><addtitle>J Neurooncol</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>149</volume><issue>1</issue><spage>103</spage><epage>111</epage><pages>103-111</pages><issn>0167-594X</issn><eissn>1573-7373</eissn><abstract>Purpose
Cognitive functioning is increasingly investigated for its prognostic value in glioblastoma (GBM) patients, but the association of cognitive status during early adjuvant treatment with survival time is unclear. The aim of this study was to determine whether cognitive performance three months after surgical resection predicted survival time, while using a clinically intuitive time ratio (TR) statistic.
Methods
Newly diagnosed patients with GBM undergoing resection between November 2010 and February 2018 completed computerized cognitive assessment 3 months after surgery with the CNS Vital Signs battery (8 measures). The association of cognitive performance (continuous Z scores and dichotomous impairment status; impaired vs. unimpaired) with survival time was assessed with multivariate Accelerated Failure Time (AFT) models that also included clinical prognostic factors and covariates related to cognitive performances.
Results
114 patients were included in the analyses (median survival time 16.4 months). Of the clinical factors, postoperative Karnofsky Performance Status (TR 1.51), surgical (TR 2.20) and non-surgical (TR 1.94) salvage treatment, and pre-surgical tumor volume (cm
3
, TR 1.003) were significant independent predictors of survival time. Independently of the base model factors and covariates, impairment on Stroop test I and Stroop test III estimated 23% and 26% reduction of survival time (TR 0.77, TR 0.74) respectively, as compared to unimpaired performance.
Conclusion
These findings suggest that impaired performances on tests of executive control and processing speed in the early phase of adjuvant treatment can reflect a worse prognostic outlook rather than an early treatment effect, and their assessment might allow for early refinement of current prognostic stratification.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32643066</pmid><doi>10.1007/s11060-020-03577-7</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7181-1455</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Brain cancer Clinical Neurology Clinical Study Cognitive ability Executive function Glioblastoma Life Sciences & Biomedicine Medical prognosis Medicine Medicine & Public Health Neurology Neurosciences & Neurology Oncology Patients Science & Technology Surgery Survival |
title | Cognitive impairment three months after surgery is an independent predictor of survival time in glioblastoma patients |
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