Predicting survival in prostate cancer: the role of quality of life assessment
Purpose While the use of quality of life (QoL) assessment has been increasing in clinical oncology, few studies have examined its prognostic significance in prostate cancer. We investigated the association between QoL at presentation and survival in prostate cancer. Methods We retrospectively review...
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| Veröffentlicht in: | Supportive care in cancer 2012-06, Vol.20 (6), p.1267-1274 |
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| creator | Braun, Donald P. Gupta, Digant Staren, Edgar D. |
| description | Purpose
While the use of quality of life (QoL) assessment has been increasing in clinical oncology, few studies have examined its prognostic significance in prostate cancer. We investigated the association between QoL at presentation and survival in prostate cancer.
Methods
We retrospectively reviewed 673 patients treated at two single-system cancer centers between January 2001 and December 2008. QoL was evaluated using EORTC-QLQ-C30. Patient survival was defined as the time interval between the date of first patient visit and the date of death/date of last contact. Univariate and multivariate Cox regression was performed to evaluate the prognostic significance of QoL.
Results
Mean age at presentation was 63.2 years. Patient stage of disease at diagnosis was I, 4; II, 464; III, 76; IV, 107; and 22 indeterminate. Median overall survival was 89.1 months (95% CI: 46.1–132.0). QoL scales predictive of survival upon univariate analysis were physical, role, emotional, social, fatigue, nausea/vomiting, pain, dyspnea, insomnia, loss of appetite, and constipation (
p
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| doi_str_mv | 10.1007/s00520-011-1213-x |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3342489</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A357967557</galeid><sourcerecordid>A357967557</sourcerecordid><originalsourceid>FETCH-LOGICAL-c603t-f27b5b2c1697742627683373c061bde9541e14ab0c97d9b9585542a1f299a1423</originalsourceid><addsrcrecordid>eNp1kk1v1DAQhi0EokvLD-CCInHhkuLxR7zmgFRVLSBVwIGeLceZbF0l9tZOVu2_x9GW0iKQD7Y8z_uOZzyEvAF6DJSqD5lSyWhNAWpgwOvbZ2QFgvNaca6fkxXVAmrBpTwgr3K-phSUkuwlOWCggHKqVuTbj4Sdd5MPmyrPaed3dqh8qLYp5slOWDkbHKaP1XSFVYoDVrGvbmY7-OluOQ6-x8rmjDmPGKYj8qK3Q8bX9_shuTw_-3n6pb74_vnr6clF7RrKp7pnqpUtc9BopQRrmGrWnCvuaANth1oKQBC2pU6rTrdarqUUzELPtLYgGD8kn_a-27kdsXMldbKD2SY_2nRnovXmaST4K7OJO8O5YGKti8H7e4MUb2bMkxl9djgMNmCcs4HSVFgzCQv67i_0Os4plPIWiguhNG_-UBs7oPGhjyWvW0zNCZdKN0pKVajjf1BldTh6FwP2vtw_EcBe4MqH5IT9Q41AzTIEZj8EprzXLENgbovm7ePmPCh-_3oB2B7IJRQ2mB5X9D_XX7JburU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1013447936</pqid></control><display><type>article</type><title>Predicting survival in prostate cancer: the role of quality of life assessment</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Braun, Donald P. ; Gupta, Digant ; Staren, Edgar D.</creator><creatorcontrib>Braun, Donald P. ; Gupta, Digant ; Staren, Edgar D.</creatorcontrib><description>Purpose
While the use of quality of life (QoL) assessment has been increasing in clinical oncology, few studies have examined its prognostic significance in prostate cancer. We investigated the association between QoL at presentation and survival in prostate cancer.
Methods
We retrospectively reviewed 673 patients treated at two single-system cancer centers between January 2001 and December 2008. QoL was evaluated using EORTC-QLQ-C30. Patient survival was defined as the time interval between the date of first patient visit and the date of death/date of last contact. Univariate and multivariate Cox regression was performed to evaluate the prognostic significance of QoL.
Results
Mean age at presentation was 63.2 years. Patient stage of disease at diagnosis was I, 4; II, 464; III, 76; IV, 107; and 22 indeterminate. Median overall survival was 89.1 months (95% CI: 46.1–132.0). QoL scales predictive of survival upon univariate analysis were physical, role, emotional, social, fatigue, nausea/vomiting, pain, dyspnea, insomnia, loss of appetite, and constipation (
p
< 0.01 for all). Multivariate analyses found fatigue (
p
= 0.02) and constipation (
p
= 0.01) to be significantly associated with survival.
Conclusions
Baseline QoL provides useful prognostic information in prostate cancer. These findings have important implications for patient stratification in clinical trials and may aid decision making in clinical practice.</description><identifier>ISSN: 0941-4355</identifier><identifier>EISSN: 1433-7339</identifier><identifier>DOI: 10.1007/s00520-011-1213-x</identifier><identifier>PMID: 21710307</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Analysis ; Cancer patients ; Constipation - epidemiology ; Constipation - etiology ; Fatigue - epidemiology ; Fatigue - etiology ; Humans ; Male ; Medical prognosis ; Medicine ; Medicine & Public Health ; Middle Aged ; Multivariate Analysis ; Neoplasm Staging ; Nursing ; Nursing Research ; Oncology ; Original ; Original Article ; Pain Medicine ; Patient outcomes ; Prognosis ; Proportional Hazards Models ; Prostate cancer ; Prostatic Neoplasms - pathology ; Prostatic Neoplasms - psychology ; Quality of Life ; Rehabilitation Medicine ; Retrospective Studies ; Survival Analysis ; Survival Rate</subject><ispartof>Supportive care in cancer, 2012-06, Vol.20 (6), p.1267-1274</ispartof><rights>The Author(s) 2011</rights><rights>COPYRIGHT 2012 Springer</rights><rights>Springer-Verlag 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c603t-f27b5b2c1697742627683373c061bde9541e14ab0c97d9b9585542a1f299a1423</citedby><cites>FETCH-LOGICAL-c603t-f27b5b2c1697742627683373c061bde9541e14ab0c97d9b9585542a1f299a1423</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/s00520-011-1213-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00520-011-1213-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21710307$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Braun, Donald P.</creatorcontrib><creatorcontrib>Gupta, Digant</creatorcontrib><creatorcontrib>Staren, Edgar D.</creatorcontrib><title>Predicting survival in prostate cancer: the role of quality of life assessment</title><title>Supportive care in cancer</title><addtitle>Support Care Cancer</addtitle><addtitle>Support Care Cancer</addtitle><description>Purpose
While the use of quality of life (QoL) assessment has been increasing in clinical oncology, few studies have examined its prognostic significance in prostate cancer. We investigated the association between QoL at presentation and survival in prostate cancer.
Methods
We retrospectively reviewed 673 patients treated at two single-system cancer centers between January 2001 and December 2008. QoL was evaluated using EORTC-QLQ-C30. Patient survival was defined as the time interval between the date of first patient visit and the date of death/date of last contact. Univariate and multivariate Cox regression was performed to evaluate the prognostic significance of QoL.
Results
Mean age at presentation was 63.2 years. Patient stage of disease at diagnosis was I, 4; II, 464; III, 76; IV, 107; and 22 indeterminate. Median overall survival was 89.1 months (95% CI: 46.1–132.0). QoL scales predictive of survival upon univariate analysis were physical, role, emotional, social, fatigue, nausea/vomiting, pain, dyspnea, insomnia, loss of appetite, and constipation (
p
< 0.01 for all). Multivariate analyses found fatigue (
p
= 0.02) and constipation (
p
= 0.01) to be significantly associated with survival.
Conclusions
Baseline QoL provides useful prognostic information in prostate cancer. These findings have important implications for patient stratification in clinical trials and may aid decision making in clinical practice.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Cancer patients</subject><subject>Constipation - epidemiology</subject><subject>Constipation - etiology</subject><subject>Fatigue - epidemiology</subject><subject>Fatigue - etiology</subject><subject>Humans</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasm Staging</subject><subject>Nursing</subject><subject>Nursing Research</subject><subject>Oncology</subject><subject>Original</subject><subject>Original Article</subject><subject>Pain Medicine</subject><subject>Patient outcomes</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Prostate cancer</subject><subject>Prostatic Neoplasms - pathology</subject><subject>Prostatic Neoplasms - psychology</subject><subject>Quality of Life</subject><subject>Rehabilitation Medicine</subject><subject>Retrospective Studies</subject><subject>Survival Analysis</subject><subject>Survival Rate</subject><issn>0941-4355</issn><issn>1433-7339</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kk1v1DAQhi0EokvLD-CCInHhkuLxR7zmgFRVLSBVwIGeLceZbF0l9tZOVu2_x9GW0iKQD7Y8z_uOZzyEvAF6DJSqD5lSyWhNAWpgwOvbZ2QFgvNaca6fkxXVAmrBpTwgr3K-phSUkuwlOWCggHKqVuTbj4Sdd5MPmyrPaed3dqh8qLYp5slOWDkbHKaP1XSFVYoDVrGvbmY7-OluOQ6-x8rmjDmPGKYj8qK3Q8bX9_shuTw_-3n6pb74_vnr6clF7RrKp7pnqpUtc9BopQRrmGrWnCvuaANth1oKQBC2pU6rTrdarqUUzELPtLYgGD8kn_a-27kdsXMldbKD2SY_2nRnovXmaST4K7OJO8O5YGKti8H7e4MUb2bMkxl9djgMNmCcs4HSVFgzCQv67i_0Os4plPIWiguhNG_-UBs7oPGhjyWvW0zNCZdKN0pKVajjf1BldTh6FwP2vtw_EcBe4MqH5IT9Q41AzTIEZj8EprzXLENgbovm7ePmPCh-_3oB2B7IJRQ2mB5X9D_XX7JburU</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Braun, Donald P.</creator><creator>Gupta, Digant</creator><creator>Staren, Edgar D.</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><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>0-V</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88J</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2R</scope><scope>M2S</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20120601</creationdate><title>Predicting survival in prostate cancer: the role of quality of life assessment</title><author>Braun, Donald P. ; Gupta, Digant ; Staren, Edgar D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c603t-f27b5b2c1697742627683373c061bde9541e14ab0c97d9b9585542a1f299a1423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Cancer patients</topic><topic>Constipation - epidemiology</topic><topic>Constipation - etiology</topic><topic>Fatigue - epidemiology</topic><topic>Fatigue - etiology</topic><topic>Humans</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Neoplasm Staging</topic><topic>Nursing</topic><topic>Nursing Research</topic><topic>Oncology</topic><topic>Original</topic><topic>Original Article</topic><topic>Pain Medicine</topic><topic>Patient outcomes</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Prostate cancer</topic><topic>Prostatic Neoplasms - pathology</topic><topic>Prostatic Neoplasms - psychology</topic><topic>Quality of Life</topic><topic>Rehabilitation Medicine</topic><topic>Retrospective Studies</topic><topic>Survival Analysis</topic><topic>Survival Rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Braun, Donald P.</creatorcontrib><creatorcontrib>Gupta, Digant</creatorcontrib><creatorcontrib>Staren, Edgar D.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>ProQuest Central Student</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Nursing & Allied Health Premium</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Supportive care in cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Braun, Donald P.</au><au>Gupta, Digant</au><au>Staren, Edgar D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting survival in prostate cancer: the role of quality of life assessment</atitle><jtitle>Supportive care in cancer</jtitle><stitle>Support Care Cancer</stitle><addtitle>Support Care Cancer</addtitle><date>2012-06-01</date><risdate>2012</risdate><volume>20</volume><issue>6</issue><spage>1267</spage><epage>1274</epage><pages>1267-1274</pages><issn>0941-4355</issn><eissn>1433-7339</eissn><abstract>Purpose
While the use of quality of life (QoL) assessment has been increasing in clinical oncology, few studies have examined its prognostic significance in prostate cancer. We investigated the association between QoL at presentation and survival in prostate cancer.
Methods
We retrospectively reviewed 673 patients treated at two single-system cancer centers between January 2001 and December 2008. QoL was evaluated using EORTC-QLQ-C30. Patient survival was defined as the time interval between the date of first patient visit and the date of death/date of last contact. Univariate and multivariate Cox regression was performed to evaluate the prognostic significance of QoL.
Results
Mean age at presentation was 63.2 years. Patient stage of disease at diagnosis was I, 4; II, 464; III, 76; IV, 107; and 22 indeterminate. Median overall survival was 89.1 months (95% CI: 46.1–132.0). QoL scales predictive of survival upon univariate analysis were physical, role, emotional, social, fatigue, nausea/vomiting, pain, dyspnea, insomnia, loss of appetite, and constipation (
p
< 0.01 for all). Multivariate analyses found fatigue (
p
= 0.02) and constipation (
p
= 0.01) to be significantly associated with survival.
Conclusions
Baseline QoL provides useful prognostic information in prostate cancer. These findings have important implications for patient stratification in clinical trials and may aid decision making in clinical practice.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>21710307</pmid><doi>10.1007/s00520-011-1213-x</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Aged, 80 and over Analysis Cancer patients Constipation - epidemiology Constipation - etiology Fatigue - epidemiology Fatigue - etiology Humans Male Medical prognosis Medicine Medicine & Public Health Middle Aged Multivariate Analysis Neoplasm Staging Nursing Nursing Research Oncology Original Original Article Pain Medicine Patient outcomes Prognosis Proportional Hazards Models Prostate cancer Prostatic Neoplasms - pathology Prostatic Neoplasms - psychology Quality of Life Rehabilitation Medicine Retrospective Studies Survival Analysis Survival Rate |
| title | Predicting survival in prostate cancer: the role of quality of life assessment |
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