The prognostic value of 3 commonly measured blood parameters and geriatric assessment to predict overall survival in addition to clinical information in older patients with cancer
BACKGROUND The current study was performed to evaluate the prognostic value of laboratory parameters and geriatric assessment (GA) in addition to a baseline model with clinical information regarding overall survival (OS) in patients with cancer. METHODS GA was systematically performed in patients ag...
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| Veröffentlicht in: | Cancer 2018-09, Vol.124 (18), p.3764-3775 |
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| creator | Baitar, Abdelbari Kenis, Cindy Decoster, Lore De Grève, Jacques Lobelle, Jean‐Pierre Flamaing, Johan Milisen, Koen Wildiers, Hans |
| description | BACKGROUND
The current study was performed to evaluate the prognostic value of laboratory parameters and geriatric assessment (GA) in addition to a baseline model with clinical information regarding overall survival (OS) in patients with cancer.
METHODS
GA was systematically performed in patients aged ≥70 years. The baseline model consisted of age, tumor type, and stage of disease. The incremental prognostic values of the GA as a whole (10‐item GA) and laboratory parameters were assessed separately and combined. The parameters included hemoglobin (Hb), albumin, C‐reactive protein (CRP), and the Glasgow Prognostic Score (GPS). Analyses were conducted with continuous and dichotomized variables. Cox models were compared based on Akaike information criterion (ΔAIC) and their discriminatory ability was assessed using the concordance probability estimate (CPE).
RESULTS
A total of 328 patients were considered for this analysis. The baseline model had a CPE of 0.725. The addition of CRP, albumin, and Hb combined resulted in the best performing model (ΔAIC: 40.12 and CPE: 0.757) among the laboratory parameters. However, the 10‐item GA improved the baseline model even more (ΔAIC: 46.03 and CPE: 0.769). Similar results were observed in the analysis with dichotomous variables. The addition of the 3 laboratory parameters (CRP, albumin, and Hb) improved the CPE by 1.4% compared with the baseline model already extended with the 10‐item GA. The CPE increase (1.7%) was the highest with the GPS in the analysis with dichotomous variables.
CONCLUSIONS
GA appears to add slightly more prognostic information than laboratory parameters in addition to clinical information. The laboratory parameters have an additional prognostic value beyond clinical and geriatric information.
The results of the current study demonstrate that geriatric assessment adds slightly more prognostic information than laboratory parameters (hemoglobin, albumin, C‐reactive protein, and related composite scores) in addition to clinical information (age, tumor type, and stage of disease) with regard to overall survival in older patients with cancer. Furthermore, the laboratory parameters appear to have additional prognostic value beyond clinical and geriatric information. |
| doi_str_mv | 10.1002/cncr.31580 |
| format | Article |
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The current study was performed to evaluate the prognostic value of laboratory parameters and geriatric assessment (GA) in addition to a baseline model with clinical information regarding overall survival (OS) in patients with cancer.
METHODS
GA was systematically performed in patients aged ≥70 years. The baseline model consisted of age, tumor type, and stage of disease. The incremental prognostic values of the GA as a whole (10‐item GA) and laboratory parameters were assessed separately and combined. The parameters included hemoglobin (Hb), albumin, C‐reactive protein (CRP), and the Glasgow Prognostic Score (GPS). Analyses were conducted with continuous and dichotomized variables. Cox models were compared based on Akaike information criterion (ΔAIC) and their discriminatory ability was assessed using the concordance probability estimate (CPE).
RESULTS
A total of 328 patients were considered for this analysis. The baseline model had a CPE of 0.725. The addition of CRP, albumin, and Hb combined resulted in the best performing model (ΔAIC: 40.12 and CPE: 0.757) among the laboratory parameters. However, the 10‐item GA improved the baseline model even more (ΔAIC: 46.03 and CPE: 0.769). Similar results were observed in the analysis with dichotomous variables. The addition of the 3 laboratory parameters (CRP, albumin, and Hb) improved the CPE by 1.4% compared with the baseline model already extended with the 10‐item GA. The CPE increase (1.7%) was the highest with the GPS in the analysis with dichotomous variables.
CONCLUSIONS
GA appears to add slightly more prognostic information than laboratory parameters in addition to clinical information. The laboratory parameters have an additional prognostic value beyond clinical and geriatric information.
The results of the current study demonstrate that geriatric assessment adds slightly more prognostic information than laboratory parameters (hemoglobin, albumin, C‐reactive protein, and related composite scores) in addition to clinical information (age, tumor type, and stage of disease) with regard to overall survival in older patients with cancer. Furthermore, the laboratory parameters appear to have additional prognostic value beyond clinical and geriatric information.</description><identifier>ISSN: 0008-543X</identifier><identifier>EISSN: 1097-0142</identifier><identifier>DOI: 10.1002/cncr.31580</identifier><identifier>PMID: 30298906</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Albumin ; biomarkers ; Cancer ; geriatric assessment ; Geriatrics ; Hemoglobin ; Laboratories ; laboratory parameters ; Mathematical models ; Medical prognosis ; Oncology ; overall survival ; Parameters ; Patients ; prognosis ; Proteins ; Survival</subject><ispartof>Cancer, 2018-09, Vol.124 (18), p.3764-3775</ispartof><rights>2018 American Cancer Society</rights><rights>2018 American Cancer Society.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3930-d6c5d3502153202b161c66104f0435a6ec1add31c0f97b1ae7c1963b19077ba33</citedby><cites>FETCH-LOGICAL-c3930-d6c5d3502153202b161c66104f0435a6ec1add31c0f97b1ae7c1963b19077ba33</cites><orcidid>0000-0002-7932-6817</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%2Fcncr.31580$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcncr.31580$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30298906$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baitar, Abdelbari</creatorcontrib><creatorcontrib>Kenis, Cindy</creatorcontrib><creatorcontrib>Decoster, Lore</creatorcontrib><creatorcontrib>De Grève, Jacques</creatorcontrib><creatorcontrib>Lobelle, Jean‐Pierre</creatorcontrib><creatorcontrib>Flamaing, Johan</creatorcontrib><creatorcontrib>Milisen, Koen</creatorcontrib><creatorcontrib>Wildiers, Hans</creatorcontrib><title>The prognostic value of 3 commonly measured blood parameters and geriatric assessment to predict overall survival in addition to clinical information in older patients with cancer</title><title>Cancer</title><addtitle>Cancer</addtitle><description>BACKGROUND
The current study was performed to evaluate the prognostic value of laboratory parameters and geriatric assessment (GA) in addition to a baseline model with clinical information regarding overall survival (OS) in patients with cancer.
METHODS
GA was systematically performed in patients aged ≥70 years. The baseline model consisted of age, tumor type, and stage of disease. The incremental prognostic values of the GA as a whole (10‐item GA) and laboratory parameters were assessed separately and combined. The parameters included hemoglobin (Hb), albumin, C‐reactive protein (CRP), and the Glasgow Prognostic Score (GPS). Analyses were conducted with continuous and dichotomized variables. Cox models were compared based on Akaike information criterion (ΔAIC) and their discriminatory ability was assessed using the concordance probability estimate (CPE).
RESULTS
A total of 328 patients were considered for this analysis. The baseline model had a CPE of 0.725. The addition of CRP, albumin, and Hb combined resulted in the best performing model (ΔAIC: 40.12 and CPE: 0.757) among the laboratory parameters. However, the 10‐item GA improved the baseline model even more (ΔAIC: 46.03 and CPE: 0.769). Similar results were observed in the analysis with dichotomous variables. The addition of the 3 laboratory parameters (CRP, albumin, and Hb) improved the CPE by 1.4% compared with the baseline model already extended with the 10‐item GA. The CPE increase (1.7%) was the highest with the GPS in the analysis with dichotomous variables.
CONCLUSIONS
GA appears to add slightly more prognostic information than laboratory parameters in addition to clinical information. The laboratory parameters have an additional prognostic value beyond clinical and geriatric information.
The results of the current study demonstrate that geriatric assessment adds slightly more prognostic information than laboratory parameters (hemoglobin, albumin, C‐reactive protein, and related composite scores) in addition to clinical information (age, tumor type, and stage of disease) with regard to overall survival in older patients with cancer. Furthermore, the laboratory parameters appear to have additional prognostic value beyond clinical and geriatric information.</description><subject>Albumin</subject><subject>biomarkers</subject><subject>Cancer</subject><subject>geriatric assessment</subject><subject>Geriatrics</subject><subject>Hemoglobin</subject><subject>Laboratories</subject><subject>laboratory parameters</subject><subject>Mathematical models</subject><subject>Medical prognosis</subject><subject>Oncology</subject><subject>overall survival</subject><subject>Parameters</subject><subject>Patients</subject><subject>prognosis</subject><subject>Proteins</subject><subject>Survival</subject><issn>0008-543X</issn><issn>1097-0142</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kc9q3DAQh0VpabZpL32AIuilFJzOSGt7fSxL-gdCCyWF3owsjRMFWdpK8oZ9rrxgtLtpDznkJGb45tMwP8beIpwhgPikvY5nEusVPGMLhK6tAJfiOVsAwKqql_LPCXuV0k0pW1HLl-xEguhWHTQLdnd5TXwTw5UPKVvNt8rNxMPIJddhmoJ3Oz6RSnMkwwcXguEbFdVEmWLiyht-RdGqHMusSolSmshnnkORkrE687ClqJzjRbG1Rc-t58oYm23we047660-9McQJ3XoFyY4Q7F8lm0RJn5r8zXXymuKr9mLUblEbx7eU_b7y_nl-lt18fPr9_Xni0rLTkJlGl0bWYPAWgoQAzaomwZhOcJS1qohjWUPiRrGrh1QUauxa-SAHbTtoKQ8ZR-O3nKfvzOl3E82aXJOeQpz6gViK7sGEAv6_hF6E-boy3aFEm3R1tAV6uOR0jGkFGnsN9FOKu56hH4fZb-Psj9EWeB3D8p5mMj8R_9lVwA8ArfW0e4JVb_-sf51lN4DI1msUA</recordid><startdate>20180915</startdate><enddate>20180915</enddate><creator>Baitar, Abdelbari</creator><creator>Kenis, Cindy</creator><creator>Decoster, Lore</creator><creator>De Grève, Jacques</creator><creator>Lobelle, Jean‐Pierre</creator><creator>Flamaing, Johan</creator><creator>Milisen, Koen</creator><creator>Wildiers, Hans</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7932-6817</orcidid></search><sort><creationdate>20180915</creationdate><title>The prognostic value of 3 commonly measured blood parameters and geriatric assessment to predict overall survival in addition to clinical information in older patients with cancer</title><author>Baitar, Abdelbari ; Kenis, Cindy ; Decoster, Lore ; De Grève, Jacques ; Lobelle, Jean‐Pierre ; Flamaing, Johan ; Milisen, Koen ; Wildiers, Hans</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3930-d6c5d3502153202b161c66104f0435a6ec1add31c0f97b1ae7c1963b19077ba33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Albumin</topic><topic>biomarkers</topic><topic>Cancer</topic><topic>geriatric assessment</topic><topic>Geriatrics</topic><topic>Hemoglobin</topic><topic>Laboratories</topic><topic>laboratory parameters</topic><topic>Mathematical models</topic><topic>Medical prognosis</topic><topic>Oncology</topic><topic>overall survival</topic><topic>Parameters</topic><topic>Patients</topic><topic>prognosis</topic><topic>Proteins</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baitar, Abdelbari</creatorcontrib><creatorcontrib>Kenis, Cindy</creatorcontrib><creatorcontrib>Decoster, Lore</creatorcontrib><creatorcontrib>De Grève, Jacques</creatorcontrib><creatorcontrib>Lobelle, Jean‐Pierre</creatorcontrib><creatorcontrib>Flamaing, Johan</creatorcontrib><creatorcontrib>Milisen, Koen</creatorcontrib><creatorcontrib>Wildiers, Hans</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baitar, Abdelbari</au><au>Kenis, Cindy</au><au>Decoster, Lore</au><au>De Grève, Jacques</au><au>Lobelle, Jean‐Pierre</au><au>Flamaing, Johan</au><au>Milisen, Koen</au><au>Wildiers, Hans</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The prognostic value of 3 commonly measured blood parameters and geriatric assessment to predict overall survival in addition to clinical information in older patients with cancer</atitle><jtitle>Cancer</jtitle><addtitle>Cancer</addtitle><date>2018-09-15</date><risdate>2018</risdate><volume>124</volume><issue>18</issue><spage>3764</spage><epage>3775</epage><pages>3764-3775</pages><issn>0008-543X</issn><eissn>1097-0142</eissn><abstract>BACKGROUND
The current study was performed to evaluate the prognostic value of laboratory parameters and geriatric assessment (GA) in addition to a baseline model with clinical information regarding overall survival (OS) in patients with cancer.
METHODS
GA was systematically performed in patients aged ≥70 years. The baseline model consisted of age, tumor type, and stage of disease. The incremental prognostic values of the GA as a whole (10‐item GA) and laboratory parameters were assessed separately and combined. The parameters included hemoglobin (Hb), albumin, C‐reactive protein (CRP), and the Glasgow Prognostic Score (GPS). Analyses were conducted with continuous and dichotomized variables. Cox models were compared based on Akaike information criterion (ΔAIC) and their discriminatory ability was assessed using the concordance probability estimate (CPE).
RESULTS
A total of 328 patients were considered for this analysis. The baseline model had a CPE of 0.725. The addition of CRP, albumin, and Hb combined resulted in the best performing model (ΔAIC: 40.12 and CPE: 0.757) among the laboratory parameters. However, the 10‐item GA improved the baseline model even more (ΔAIC: 46.03 and CPE: 0.769). Similar results were observed in the analysis with dichotomous variables. The addition of the 3 laboratory parameters (CRP, albumin, and Hb) improved the CPE by 1.4% compared with the baseline model already extended with the 10‐item GA. The CPE increase (1.7%) was the highest with the GPS in the analysis with dichotomous variables.
CONCLUSIONS
GA appears to add slightly more prognostic information than laboratory parameters in addition to clinical information. The laboratory parameters have an additional prognostic value beyond clinical and geriatric information.
The results of the current study demonstrate that geriatric assessment adds slightly more prognostic information than laboratory parameters (hemoglobin, albumin, C‐reactive protein, and related composite scores) in addition to clinical information (age, tumor type, and stage of disease) with regard to overall survival in older patients with cancer. Furthermore, the laboratory parameters appear to have additional prognostic value beyond clinical and geriatric information.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30298906</pmid><doi>10.1002/cncr.31580</doi><tpages>28</tpages><orcidid>https://orcid.org/0000-0002-7932-6817</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Wiley Free Content; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Albumin biomarkers Cancer geriatric assessment Geriatrics Hemoglobin Laboratories laboratory parameters Mathematical models Medical prognosis Oncology overall survival Parameters Patients prognosis Proteins Survival |
| title | The prognostic value of 3 commonly measured blood parameters and geriatric assessment to predict overall survival in addition to clinical information in older patients with cancer |
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