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Clinical Evaluation and Cost-Effectiveness Analysis of Serum Tumor Markers in Lung Cancer
The detection of serum tumor markers is valuable for the early diagnosis of lung cancer. Tumor markers are frequently used for the management of cancer patients. However, single markers are less efficient but marker combinations increase the cost, which is troublesome for clinics. To find an optimal...
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Published in: | BioMed research international 2013-01, Vol.2013 (2013), p.1-7 |
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description | The detection of serum tumor markers is valuable for the early diagnosis of lung cancer. Tumor markers are frequently used for the management of cancer patients. However, single markers are less efficient but marker combinations increase the cost, which is troublesome for clinics. To find an optimal serum marker combination panel that benefits the patients and the medical management system as well, four routine lung cancer serum markers (SCCA, NSE, CEA, and CYFRA21-1) were evaluated individually and in combination. Meanwhile, the costs and effects of these markers in clinical practice in China were assessed by cost-effectiveness analysis. As expected, combinations of these tumor markers improved their sensitivity for lung cancer and different combination panels had their own usefulness. NSE + CEA + CYFRA21-1 was the optimal combination panel with highest Youden’s index (0.64), higher sensitivity (75.76%), and specificity (88.57%), which can aid the clinical diagnosis of lung cancer. Nevertheless, the most cost-effective combination was SCCA + CEA, which can be used to screen the high-risk group. |
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Tumor markers are frequently used for the management of cancer patients. However, single markers are less efficient but marker combinations increase the cost, which is troublesome for clinics. To find an optimal serum marker combination panel that benefits the patients and the medical management system as well, four routine lung cancer serum markers (SCCA, NSE, CEA, and CYFRA21-1) were evaluated individually and in combination. Meanwhile, the costs and effects of these markers in clinical practice in China were assessed by cost-effectiveness analysis. As expected, combinations of these tumor markers improved their sensitivity for lung cancer and different combination panels had their own usefulness. NSE + CEA + CYFRA21-1 was the optimal combination panel with highest Youden’s index (0.64), higher sensitivity (75.76%), and specificity (88.57%), which can aid the clinical diagnosis of lung cancer. Nevertheless, the most cost-effective combination was SCCA + CEA, which can be used to screen the high-risk group.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2013/195692</identifier><identifier>PMID: 24167812</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomarkers ; Biomarkers, Tumor - blood ; Biomarkers, Tumor - economics ; Carcinoembryonic antigen ; Case-Control Studies ; Classification ; Cost-Benefit Analysis ; Developing countries ; Disease ; Female ; Hospitals ; Humans ; LDCs ; Lung cancer ; Lung Neoplasms - blood ; Lung Neoplasms - diagnosis ; Lung Neoplasms - economics ; Lung Neoplasms - pathology ; Male ; Medical imaging ; Middle Aged ; Mortality ; Neoplasm Proteins - blood ; Neoplasm Proteins - economics ; ROC Curve ; Sensitivity and Specificity ; Tumors ; Young Adult</subject><ispartof>BioMed research international, 2013-01, Vol.2013 (2013), p.1-7</ispartof><rights>Copyright © 2013 Rong Wang et al.</rights><rights>Copyright © 2013 Rong Wang et al. Rong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2013 Rong Wang et al. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-bce394e19270664c28320bb649dd1b15eeaa6627d152fe273bbfc6dffdca1a333</citedby><cites>FETCH-LOGICAL-c566t-bce394e19270664c28320bb649dd1b15eeaa6627d152fe273bbfc6dffdca1a333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1441567113/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1441567113?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,37013,44590,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24167812$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Reams, Romonia Renee</contributor><creatorcontrib>Li, Xue</creatorcontrib><creatorcontrib>Zhang, Nan</creatorcontrib><creatorcontrib>Wang, Guoqing</creatorcontrib><creatorcontrib>Wang, Rong</creatorcontrib><creatorcontrib>Liu, Yunde</creatorcontrib><title>Clinical Evaluation and Cost-Effectiveness Analysis of Serum Tumor Markers in Lung Cancer</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>The detection of serum tumor markers is valuable for the early diagnosis of lung cancer. Tumor markers are frequently used for the management of cancer patients. However, single markers are less efficient but marker combinations increase the cost, which is troublesome for clinics. To find an optimal serum marker combination panel that benefits the patients and the medical management system as well, four routine lung cancer serum markers (SCCA, NSE, CEA, and CYFRA21-1) were evaluated individually and in combination. Meanwhile, the costs and effects of these markers in clinical practice in China were assessed by cost-effectiveness analysis. As expected, combinations of these tumor markers improved their sensitivity for lung cancer and different combination panels had their own usefulness. NSE + CEA + CYFRA21-1 was the optimal combination panel with highest Youden’s index (0.64), higher sensitivity (75.76%), and specificity (88.57%), which can aid the clinical diagnosis of lung cancer. Nevertheless, the most cost-effective combination was SCCA + CEA, which can be used to screen the high-risk group.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - blood</subject><subject>Biomarkers, Tumor - economics</subject><subject>Carcinoembryonic antigen</subject><subject>Case-Control Studies</subject><subject>Classification</subject><subject>Cost-Benefit Analysis</subject><subject>Developing countries</subject><subject>Disease</subject><subject>Female</subject><subject>Hospitals</subject><subject>Humans</subject><subject>LDCs</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - blood</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - economics</subject><subject>Lung Neoplasms - pathology</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Neoplasm Proteins - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xue</au><au>Zhang, Nan</au><au>Wang, Guoqing</au><au>Wang, Rong</au><au>Liu, Yunde</au><au>Reams, Romonia Renee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical Evaluation and Cost-Effectiveness Analysis of Serum Tumor Markers in Lung Cancer</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>2013</volume><issue>2013</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>The detection of serum tumor markers is valuable for the early diagnosis of lung cancer. Tumor markers are frequently used for the management of cancer patients. However, single markers are less efficient but marker combinations increase the cost, which is troublesome for clinics. To find an optimal serum marker combination panel that benefits the patients and the medical management system as well, four routine lung cancer serum markers (SCCA, NSE, CEA, and CYFRA21-1) were evaluated individually and in combination. Meanwhile, the costs and effects of these markers in clinical practice in China were assessed by cost-effectiveness analysis. As expected, combinations of these tumor markers improved their sensitivity for lung cancer and different combination panels had their own usefulness. NSE + CEA + CYFRA21-1 was the optimal combination panel with highest Youden’s index (0.64), higher sensitivity (75.76%), and specificity (88.57%), which can aid the clinical diagnosis of lung cancer. Nevertheless, the most cost-effective combination was SCCA + CEA, which can be used to screen the high-risk group.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>24167812</pmid><doi>10.1155/2013/195692</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Biomarkers Biomarkers, Tumor - blood Biomarkers, Tumor - economics Carcinoembryonic antigen Case-Control Studies Classification Cost-Benefit Analysis Developing countries Disease Female Hospitals Humans LDCs Lung cancer Lung Neoplasms - blood Lung Neoplasms - diagnosis Lung Neoplasms - economics Lung Neoplasms - pathology Male Medical imaging Middle Aged Mortality Neoplasm Proteins - blood Neoplasm Proteins - economics ROC Curve Sensitivity and Specificity Tumors Young Adult |
title | Clinical Evaluation and Cost-Effectiveness Analysis of Serum Tumor Markers in Lung Cancer |
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