Evaluating the Cost-Effective Use of Follow-Up Colonoscopy Based on Screening Findings and Age

Introduction. Colorectal cancer (CRC), if not detected early, can be costly and detrimental to one’s health. Colonoscopy can identify CRC early as well as prevent the disease. The benefit of screening colonoscopy has been established, but the optimal frequency of follow-up colonoscopy is unknown and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computational and mathematical methods in medicine 2019-01, Vol.2019 (2019), p.1-12
Hauptverfasser: Joseph, Grace N., Sherer, Eric A., Heidarnejad, Farid
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 12
container_issue 2019
container_start_page 1
container_title Computational and mathematical methods in medicine
container_volume 2019
creator Joseph, Grace N.
Sherer, Eric A.
Heidarnejad, Farid
description Introduction. Colorectal cancer (CRC), if not detected early, can be costly and detrimental to one’s health. Colonoscopy can identify CRC early as well as prevent the disease. The benefit of screening colonoscopy has been established, but the optimal frequency of follow-up colonoscopy is unknown and may vary based on findings from colonoscopy screening and patient age. Methods. A partially observed Markov process (POMP) was used to simulate the effects of follow-up colonoscopy on the development of CRC. The POMP uses adenoma and CRC growth models to calculate the probability of a patient having colorectal adenomas and CRC. Then, based on mortality, quality of life, and the costs associated with diagnosis, treatment, and surveillance of colorectal cancer, the overall costs and increase in quality-adjusted life years (QALYs) are calculated for follow-up colonoscopy scenarios. Results. At the $100,000/QALY gained threshold, only one follow-up colonoscopy is cost-effective only after screening at age 50 years. The optimal follow-up is 8.5 years, which gives 84.0 QALYs gained/10,000 persons. No follow-up colonoscopy was cost-effective at the $50,000 and $75,000/QALY gained thresholds. The intervals were insensitive to the findings at screening colonoscopy. Conclusion. Follow-up colonoscopy is cost-effective following screening at age 50 years but not if screening occurs later. Following screening at age 50 years, the optimal follow-up interval is close to the currently recommended 10 years for an average risk screening but does not vary by colonoscopy result.
doi_str_mv 10.1155/2019/2476565
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6399561</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2198559023</sourcerecordid><originalsourceid>FETCH-LOGICAL-c443t-bb1fd9972a5c5360dfd86007e3dc790d9327bdbd5e4b49e27076568dd3af0c953</originalsourceid><addsrcrecordid>eNqNkc9PIyEUx4lZ4--b5w3HTXQUhmEYLpto06qJiQdt4knCwKMdM4U6TGv876Vp7bo3T4_kfd4HeF-ETim5oJTzy5xQeZkXouQl30EHVBRVVgpa_dqeyfM-OozxlRBOBad7aJ8RSXkaPkAvw6VuF7pv_AT3U8CDEPts6ByYvlkCHkfAweFRaNvwno3nqd8GH6IJ8w98rSNYHDx-NB2AXylGjbepRqy9xVcTOEa7TrcRTjb1CI1Hw6fBbXb_cHM3uLrPTFGwPqtr6qyUItfccFYS62xVEiKAWSMksZLlora15VDUhYRckNV3K2uZdsRIzo7Q37V3vqhnYA34vtOtmnfNTHcfKuhG_d_xzVRNwlKVTEpe0iT4sxF04W0BsVezJhpoW-0hLKLKqaw4lyRnCT1fo6YLMXbgttdQolaRqFUkahNJwn9_f9oW_sogAWdrYJqWp9-bH-ogMeD0P5oyUsiKfQInp55k</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2198559023</pqid></control><display><type>article</type><title>Evaluating the Cost-Effective Use of Follow-Up Colonoscopy Based on Screening Findings and Age</title><source>MEDLINE</source><source>Wiley-Blackwell Open Access Titles</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>PubMed Central Open Access</source><creator>Joseph, Grace N. ; Sherer, Eric A. ; Heidarnejad, Farid</creator><contributor>Tavares, João M.</contributor><creatorcontrib>Joseph, Grace N. ; Sherer, Eric A. ; Heidarnejad, Farid ; Tavares, João M.</creatorcontrib><description>Introduction. Colorectal cancer (CRC), if not detected early, can be costly and detrimental to one’s health. Colonoscopy can identify CRC early as well as prevent the disease. The benefit of screening colonoscopy has been established, but the optimal frequency of follow-up colonoscopy is unknown and may vary based on findings from colonoscopy screening and patient age. Methods. A partially observed Markov process (POMP) was used to simulate the effects of follow-up colonoscopy on the development of CRC. The POMP uses adenoma and CRC growth models to calculate the probability of a patient having colorectal adenomas and CRC. Then, based on mortality, quality of life, and the costs associated with diagnosis, treatment, and surveillance of colorectal cancer, the overall costs and increase in quality-adjusted life years (QALYs) are calculated for follow-up colonoscopy scenarios. Results. At the $100,000/QALY gained threshold, only one follow-up colonoscopy is cost-effective only after screening at age 50 years. The optimal follow-up is 8.5 years, which gives 84.0 QALYs gained/10,000 persons. No follow-up colonoscopy was cost-effective at the $50,000 and $75,000/QALY gained thresholds. The intervals were insensitive to the findings at screening colonoscopy. Conclusion. Follow-up colonoscopy is cost-effective following screening at age 50 years but not if screening occurs later. Following screening at age 50 years, the optimal follow-up interval is close to the currently recommended 10 years for an average risk screening but does not vary by colonoscopy result.</description><identifier>ISSN: 1748-670X</identifier><identifier>EISSN: 1748-6718</identifier><identifier>DOI: 10.1155/2019/2476565</identifier><identifier>PMID: 30915155</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Adenoma - diagnostic imaging ; Adenoma - economics ; Adenoma - mortality ; Age Factors ; Aged ; Algorithms ; Colonic Neoplasms - diagnostic imaging ; Colonic Neoplasms - economics ; Colonic Neoplasms - mortality ; Colonoscopy - economics ; Colonoscopy - methods ; Computer Simulation ; Cost-Benefit Analysis ; Early Detection of Cancer - economics ; Early Detection of Cancer - methods ; Female ; Follow-Up Studies ; Health Care Costs ; Humans ; Male ; Markov Chains ; Medical Informatics - methods ; Middle Aged ; Probability ; Quality of Life ; Quality-Adjusted Life Years ; Reproducibility of Results ; SEER Program ; Sensitivity and Specificity ; United States</subject><ispartof>Computational and mathematical methods in medicine, 2019-01, Vol.2019 (2019), p.1-12</ispartof><rights>Copyright © 2019 Grace N. Joseph et al.</rights><rights>Copyright © 2019 Grace N. Joseph et al. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-bb1fd9972a5c5360dfd86007e3dc790d9327bdbd5e4b49e27076568dd3af0c953</citedby><cites>FETCH-LOGICAL-c443t-bb1fd9972a5c5360dfd86007e3dc790d9327bdbd5e4b49e27076568dd3af0c953</cites><orcidid>0000-0001-8403-482X ; 0000-0002-4004-4572</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399561/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399561/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30915155$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Tavares, João M.</contributor><creatorcontrib>Joseph, Grace N.</creatorcontrib><creatorcontrib>Sherer, Eric A.</creatorcontrib><creatorcontrib>Heidarnejad, Farid</creatorcontrib><title>Evaluating the Cost-Effective Use of Follow-Up Colonoscopy Based on Screening Findings and Age</title><title>Computational and mathematical methods in medicine</title><addtitle>Comput Math Methods Med</addtitle><description>Introduction. Colorectal cancer (CRC), if not detected early, can be costly and detrimental to one’s health. Colonoscopy can identify CRC early as well as prevent the disease. The benefit of screening colonoscopy has been established, but the optimal frequency of follow-up colonoscopy is unknown and may vary based on findings from colonoscopy screening and patient age. Methods. A partially observed Markov process (POMP) was used to simulate the effects of follow-up colonoscopy on the development of CRC. The POMP uses adenoma and CRC growth models to calculate the probability of a patient having colorectal adenomas and CRC. Then, based on mortality, quality of life, and the costs associated with diagnosis, treatment, and surveillance of colorectal cancer, the overall costs and increase in quality-adjusted life years (QALYs) are calculated for follow-up colonoscopy scenarios. Results. At the $100,000/QALY gained threshold, only one follow-up colonoscopy is cost-effective only after screening at age 50 years. The optimal follow-up is 8.5 years, which gives 84.0 QALYs gained/10,000 persons. No follow-up colonoscopy was cost-effective at the $50,000 and $75,000/QALY gained thresholds. The intervals were insensitive to the findings at screening colonoscopy. Conclusion. Follow-up colonoscopy is cost-effective following screening at age 50 years but not if screening occurs later. Following screening at age 50 years, the optimal follow-up interval is close to the currently recommended 10 years for an average risk screening but does not vary by colonoscopy result.</description><subject>Adenoma - diagnostic imaging</subject><subject>Adenoma - economics</subject><subject>Adenoma - mortality</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Colonic Neoplasms - diagnostic imaging</subject><subject>Colonic Neoplasms - economics</subject><subject>Colonic Neoplasms - mortality</subject><subject>Colonoscopy - economics</subject><subject>Colonoscopy - methods</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>Follow-Up Studies</subject><subject>Health Care Costs</subject><subject>Humans</subject><subject>Male</subject><subject>Markov Chains</subject><subject>Medical Informatics - methods</subject><subject>Middle Aged</subject><subject>Probability</subject><subject>Quality of Life</subject><subject>Quality-Adjusted Life Years</subject><subject>Reproducibility of Results</subject><subject>SEER Program</subject><subject>Sensitivity and Specificity</subject><subject>United States</subject><issn>1748-670X</issn><issn>1748-6718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqNkc9PIyEUx4lZ4--b5w3HTXQUhmEYLpto06qJiQdt4knCwKMdM4U6TGv876Vp7bo3T4_kfd4HeF-ETim5oJTzy5xQeZkXouQl30EHVBRVVgpa_dqeyfM-OozxlRBOBad7aJ8RSXkaPkAvw6VuF7pv_AT3U8CDEPts6ByYvlkCHkfAweFRaNvwno3nqd8GH6IJ8w98rSNYHDx-NB2AXylGjbepRqy9xVcTOEa7TrcRTjb1CI1Hw6fBbXb_cHM3uLrPTFGwPqtr6qyUItfccFYS62xVEiKAWSMksZLlora15VDUhYRckNV3K2uZdsRIzo7Q37V3vqhnYA34vtOtmnfNTHcfKuhG_d_xzVRNwlKVTEpe0iT4sxF04W0BsVezJhpoW-0hLKLKqaw4lyRnCT1fo6YLMXbgttdQolaRqFUkahNJwn9_f9oW_sogAWdrYJqWp9-bH-ogMeD0P5oyUsiKfQInp55k</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Joseph, Grace N.</creator><creator>Sherer, Eric A.</creator><creator>Heidarnejad, Farid</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8403-482X</orcidid><orcidid>https://orcid.org/0000-0002-4004-4572</orcidid></search><sort><creationdate>20190101</creationdate><title>Evaluating the Cost-Effective Use of Follow-Up Colonoscopy Based on Screening Findings and Age</title><author>Joseph, Grace N. ; Sherer, Eric A. ; Heidarnejad, Farid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-bb1fd9972a5c5360dfd86007e3dc790d9327bdbd5e4b49e27076568dd3af0c953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adenoma - diagnostic imaging</topic><topic>Adenoma - economics</topic><topic>Adenoma - mortality</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Colonic Neoplasms - diagnostic imaging</topic><topic>Colonic Neoplasms - economics</topic><topic>Colonic Neoplasms - mortality</topic><topic>Colonoscopy - economics</topic><topic>Colonoscopy - methods</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>Follow-Up Studies</topic><topic>Health Care Costs</topic><topic>Humans</topic><topic>Male</topic><topic>Markov Chains</topic><topic>Medical Informatics - methods</topic><topic>Middle Aged</topic><topic>Probability</topic><topic>Quality of Life</topic><topic>Quality-Adjusted Life Years</topic><topic>Reproducibility of Results</topic><topic>SEER Program</topic><topic>Sensitivity and Specificity</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joseph, Grace N.</creatorcontrib><creatorcontrib>Sherer, Eric A.</creatorcontrib><creatorcontrib>Heidarnejad, Farid</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><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>Computational and mathematical methods in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joseph, Grace N.</au><au>Sherer, Eric A.</au><au>Heidarnejad, Farid</au><au>Tavares, João M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the Cost-Effective Use of Follow-Up Colonoscopy Based on Screening Findings and Age</atitle><jtitle>Computational and mathematical methods in medicine</jtitle><addtitle>Comput Math Methods Med</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>2019</volume><issue>2019</issue><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>1748-670X</issn><eissn>1748-6718</eissn><abstract>Introduction. Colorectal cancer (CRC), if not detected early, can be costly and detrimental to one’s health. Colonoscopy can identify CRC early as well as prevent the disease. The benefit of screening colonoscopy has been established, but the optimal frequency of follow-up colonoscopy is unknown and may vary based on findings from colonoscopy screening and patient age. Methods. A partially observed Markov process (POMP) was used to simulate the effects of follow-up colonoscopy on the development of CRC. The POMP uses adenoma and CRC growth models to calculate the probability of a patient having colorectal adenomas and CRC. Then, based on mortality, quality of life, and the costs associated with diagnosis, treatment, and surveillance of colorectal cancer, the overall costs and increase in quality-adjusted life years (QALYs) are calculated for follow-up colonoscopy scenarios. Results. At the $100,000/QALY gained threshold, only one follow-up colonoscopy is cost-effective only after screening at age 50 years. The optimal follow-up is 8.5 years, which gives 84.0 QALYs gained/10,000 persons. No follow-up colonoscopy was cost-effective at the $50,000 and $75,000/QALY gained thresholds. The intervals were insensitive to the findings at screening colonoscopy. Conclusion. Follow-up colonoscopy is cost-effective following screening at age 50 years but not if screening occurs later. Following screening at age 50 years, the optimal follow-up interval is close to the currently recommended 10 years for an average risk screening but does not vary by colonoscopy result.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>30915155</pmid><doi>10.1155/2019/2476565</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8403-482X</orcidid><orcidid>https://orcid.org/0000-0002-4004-4572</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1748-670X
ispartof Computational and mathematical methods in medicine, 2019-01, Vol.2019 (2019), p.1-12
issn 1748-670X
1748-6718
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6399561
source MEDLINE; Wiley-Blackwell Open Access Titles; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection; PubMed Central Open Access
subjects Adenoma - diagnostic imaging
Adenoma - economics
Adenoma - mortality
Age Factors
Aged
Algorithms
Colonic Neoplasms - diagnostic imaging
Colonic Neoplasms - economics
Colonic Neoplasms - mortality
Colonoscopy - economics
Colonoscopy - methods
Computer Simulation
Cost-Benefit Analysis
Early Detection of Cancer - economics
Early Detection of Cancer - methods
Female
Follow-Up Studies
Health Care Costs
Humans
Male
Markov Chains
Medical Informatics - methods
Middle Aged
Probability
Quality of Life
Quality-Adjusted Life Years
Reproducibility of Results
SEER Program
Sensitivity and Specificity
United States
title Evaluating the Cost-Effective Use of Follow-Up Colonoscopy Based on Screening Findings and Age
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T18%3A38%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20the%20Cost-Effective%20Use%20of%20Follow-Up%20Colonoscopy%20Based%20on%20Screening%20Findings%20and%20Age&rft.jtitle=Computational%20and%20mathematical%20methods%20in%20medicine&rft.au=Joseph,%20Grace%20N.&rft.date=2019-01-01&rft.volume=2019&rft.issue=2019&rft.spage=1&rft.epage=12&rft.pages=1-12&rft.issn=1748-670X&rft.eissn=1748-6718&rft_id=info:doi/10.1155/2019/2476565&rft_dat=%3Cproquest_pubme%3E2198559023%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2198559023&rft_id=info:pmid/30915155&rfr_iscdi=true