Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History
There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening. Using the MISCAN-Colon model, we simulated a cohort of 100 mi...
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Veröffentlicht in: | Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2020-01, Vol.29 (1), p.10-21 |
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description | There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening.
Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both.
At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48.
Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk.
Personalized screening could become increasingly viable as costs for determining risk decrease. |
doi_str_mv | 10.1158/1055-9965.EPI-18-1123 |
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Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both.
At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48.
Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk.
Personalized screening could become increasingly viable as costs for determining risk decrease.</description><identifier>ISSN: 1055-9965</identifier><identifier>EISSN: 1538-7755</identifier><identifier>DOI: 10.1158/1055-9965.EPI-18-1123</identifier><identifier>PMID: 31748260</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Australia - epidemiology ; Colonoscopy - economics ; Colorectal Neoplasms - diagnosis ; Colorectal Neoplasms - epidemiology ; Colorectal Neoplasms - genetics ; Colorectal Neoplasms - prevention & control ; Computer Simulation ; Cost-Benefit Analysis ; Early Detection of Cancer - economics ; Early Detection of Cancer - methods ; Female ; Genetic Predisposition to Disease ; Genetic Testing - economics ; Health Care Costs ; Humans ; Male ; Mass Screening - economics ; Mass Screening - methods ; Medical History Taking ; Middle Aged ; Models, Economic ; Multifactorial Inheritance ; Occult Blood ; Polymorphism, Single Nucleotide ; Precision Medicine - economics ; Precision Medicine - methods ; Quality-Adjusted Life Years ; Risk Assessment - economics ; Risk Assessment - methods ; Risk Factors</subject><ispartof>Cancer epidemiology, biomarkers & prevention, 2020-01, Vol.29 (1), p.10-21</ispartof><rights>2019 American Association for Cancer Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-78fddc1325f128f26eff2c5e612429dd3619f3250ae0ed5185161dc5577fe6b63</citedby><cites>FETCH-LOGICAL-c411t-78fddc1325f128f26eff2c5e612429dd3619f3250ae0ed5185161dc5577fe6b63</cites><orcidid>0000-0003-2598-7035 ; 0000-0001-9375-0801 ; 0000-0001-8357-1738</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,3343,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31748260$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cenin, Dayna R</creatorcontrib><creatorcontrib>Naber, Steffie K</creatorcontrib><creatorcontrib>de Weerdt, Anne C</creatorcontrib><creatorcontrib>Jenkins, Mark A</creatorcontrib><creatorcontrib>Preen, David B</creatorcontrib><creatorcontrib>Ee, Hooi C</creatorcontrib><creatorcontrib>O'Leary, Peter C</creatorcontrib><creatorcontrib>Lansdorp-Vogelaar, Iris</creatorcontrib><title>Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History</title><title>Cancer epidemiology, biomarkers & prevention</title><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><description>There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening.
Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both.
At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48.
Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk.
Personalized screening could become increasingly viable as costs for determining risk decrease.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Australia - epidemiology</subject><subject>Colonoscopy - economics</subject><subject>Colorectal Neoplasms - diagnosis</subject><subject>Colorectal Neoplasms - epidemiology</subject><subject>Colorectal Neoplasms - genetics</subject><subject>Colorectal Neoplasms - prevention & control</subject><subject>Computer Simulation</subject><subject>Cost-Benefit Analysis</subject><subject>Early Detection of Cancer - economics</subject><subject>Early Detection of Cancer - methods</subject><subject>Female</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic Testing - economics</subject><subject>Health Care Costs</subject><subject>Humans</subject><subject>Male</subject><subject>Mass Screening - economics</subject><subject>Mass Screening - methods</subject><subject>Medical History Taking</subject><subject>Middle Aged</subject><subject>Models, Economic</subject><subject>Multifactorial Inheritance</subject><subject>Occult Blood</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Precision Medicine - economics</subject><subject>Precision Medicine - methods</subject><subject>Quality-Adjusted Life Years</subject><subject>Risk Assessment - economics</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><issn>1055-9965</issn><issn>1538-7755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkV1vFSEQhjdGY2v1J2i49GYrA4dluTHRzalt0qQnflwTCsMRZaHCnibHXy8n_Yi9YsI8884kT9e9BXoKIMYPQIXolRrE6Xpz0cPYAzD-rDsGwcdeSiGet_qBOepe1fqLUiqVEC-7Iw5yNbKBHnfzlOvSr71Hu4RbTFgryZ5ssNScTAx_0ZFvtiCmkLbE50KmHHNptIlkMsliIZ9NbVROZJPjfttIS76G-puY5MiZmUPck_NQl1z2r7sX3sSKb-7fk-7H2fr7dN5fXn25mD5d9nYFsPRy9M5Z4Ex4YKNnA3rPrMAB2Iop5_gAyrcuNUjRCRgFDOCsEFJ6HK4HftJ9vMu92V3P6CympZiob0qYTdnrbIJ-2knhp97mWy1BKKWgBby_Dyj5zw7roudQLcZoEuZd1YzDIEfOpGqouENtybUW9I9rgOqDKn3QoA8adFOloX00VW3u3f83Pk49uOH_AHyDkcE</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Cenin, Dayna R</creator><creator>Naber, Steffie K</creator><creator>de Weerdt, Anne C</creator><creator>Jenkins, Mark A</creator><creator>Preen, David B</creator><creator>Ee, Hooi C</creator><creator>O'Leary, Peter C</creator><creator>Lansdorp-Vogelaar, Iris</creator><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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2598-7035</orcidid><orcidid>https://orcid.org/0000-0001-9375-0801</orcidid><orcidid>https://orcid.org/0000-0001-8357-1738</orcidid></search><sort><creationdate>20200101</creationdate><title>Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History</title><author>Cenin, Dayna R ; Naber, Steffie K ; de Weerdt, Anne C ; Jenkins, Mark A ; Preen, David B ; Ee, Hooi C ; O'Leary, Peter C ; Lansdorp-Vogelaar, Iris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-78fddc1325f128f26eff2c5e612429dd3619f3250ae0ed5185161dc5577fe6b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Australia - epidemiology</topic><topic>Colonoscopy - economics</topic><topic>Colorectal Neoplasms - diagnosis</topic><topic>Colorectal Neoplasms - epidemiology</topic><topic>Colorectal Neoplasms - genetics</topic><topic>Colorectal Neoplasms - prevention & control</topic><topic>Computer Simulation</topic><topic>Cost-Benefit Analysis</topic><topic>Early Detection of Cancer - economics</topic><topic>Early Detection of Cancer - methods</topic><topic>Female</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetic Testing - economics</topic><topic>Health Care Costs</topic><topic>Humans</topic><topic>Male</topic><topic>Mass Screening - economics</topic><topic>Mass Screening - methods</topic><topic>Medical History Taking</topic><topic>Middle Aged</topic><topic>Models, Economic</topic><topic>Multifactorial Inheritance</topic><topic>Occult Blood</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Precision Medicine - economics</topic><topic>Precision Medicine - methods</topic><topic>Quality-Adjusted Life Years</topic><topic>Risk Assessment - economics</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cenin, Dayna R</creatorcontrib><creatorcontrib>Naber, Steffie K</creatorcontrib><creatorcontrib>de Weerdt, Anne C</creatorcontrib><creatorcontrib>Jenkins, Mark A</creatorcontrib><creatorcontrib>Preen, David B</creatorcontrib><creatorcontrib>Ee, Hooi C</creatorcontrib><creatorcontrib>O'Leary, Peter C</creatorcontrib><creatorcontrib>Lansdorp-Vogelaar, Iris</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancer epidemiology, biomarkers & prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cenin, Dayna R</au><au>Naber, Steffie K</au><au>de Weerdt, Anne C</au><au>Jenkins, Mark A</au><au>Preen, David B</au><au>Ee, Hooi C</au><au>O'Leary, Peter C</au><au>Lansdorp-Vogelaar, Iris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History</atitle><jtitle>Cancer epidemiology, biomarkers & prevention</jtitle><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>29</volume><issue>1</issue><spage>10</spage><epage>21</epage><pages>10-21</pages><issn>1055-9965</issn><eissn>1538-7755</eissn><abstract>There is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening.
Using the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both.
At a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48.
Uniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk.
Personalized screening could become increasingly viable as costs for determining risk decrease.</abstract><cop>United States</cop><pmid>31748260</pmid><doi>10.1158/1055-9965.EPI-18-1123</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-2598-7035</orcidid><orcidid>https://orcid.org/0000-0001-9375-0801</orcidid><orcidid>https://orcid.org/0000-0001-8357-1738</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Australia - epidemiology Colonoscopy - economics Colorectal Neoplasms - diagnosis Colorectal Neoplasms - epidemiology Colorectal Neoplasms - genetics Colorectal Neoplasms - prevention & control Computer Simulation Cost-Benefit Analysis Early Detection of Cancer - economics Early Detection of Cancer - methods Female Genetic Predisposition to Disease Genetic Testing - economics Health Care Costs Humans Male Mass Screening - economics Mass Screening - methods Medical History Taking Middle Aged Models, Economic Multifactorial Inheritance Occult Blood Polymorphism, Single Nucleotide Precision Medicine - economics Precision Medicine - methods Quality-Adjusted Life Years Risk Assessment - economics Risk Assessment - methods Risk Factors |
title | Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History |
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