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Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium
Abstract Background Cancer screening is a complex process encompassing risk assessment, the initial screening examination, diagnostic evaluation, and treatment of cancer precursors or early cancers. Metrics that enable comparisons across different screening targets are needed. We present population-...
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| Published in: | JNCI : Journal of the National Cancer Institute 2020-03, Vol.112 (3), p.238-246 |
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| container_title | JNCI : Journal of the National Cancer Institute |
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| creator | Barlow, William E Beaber, Elisabeth F Geller, Berta M Kamineni, Aruna Zheng, Yingye Haas, Jennifer S Chao, Chun R Rutter, Carolyn M Zauber, Ann G Sprague, Brian L Halm, Ethan A Weaver, Donald L Chubak, Jessica Doria-Rose, V Paul Kobrin, Sarah Onega, Tracy Quinn, Virginia P Schapira, Marilyn M Tosteson, Anna N A Corley, Douglas A Skinner, Celette Sugg Schnall, Mitchell D Armstrong, Katrina Wheeler, Cosette M Silverberg, Michael J Balasubramanian, Bijal A Doubeni, Chyke A McLerran, Dale Tiro, Jasmin A |
| description | Abstract
Background
Cancer screening is a complex process encompassing risk assessment, the initial screening examination, diagnostic evaluation, and treatment of cancer precursors or early cancers. Metrics that enable comparisons across different screening targets are needed. We present population-based screening metrics for breast, cervical, and colorectal cancers for nine sites participating in the Population-based Research Optimizing Screening through Personalized Regimens consortium.
Methods
We describe how selected metrics map to a trans-organ conceptual model of the screening process. For each cancer type, we calculated calendar year 2013 metrics for the screen-eligible target population (breast: ages 40–74 years; cervical: ages 21–64 years; colorectal: ages 50–75 years). Metrics for screening participation, timely diagnostic evaluation, and diagnosed cancers in the screened and total populations are presented for the total eligible population and stratified by age group and cancer type.
Results
The overall screening-eligible populations in 2013 were 305 568 participants for breast, 3 160 128 for cervical, and 2 363 922 for colorectal cancer screening. Being up-to-date for testing was common for all three cancer types: breast (63.5%), cervical (84.6%), and colorectal (77.5%). The percentage of abnormal screens ranged from 10.7% for breast, 4.4% for cervical, and 4.5% for colorectal cancer screening. Abnormal breast screens were followed up diagnostically in almost all (96.8%) cases, and cervical and colorectal were similar (76.2% and 76.3%, respectively). Cancer rates per 1000 screens were 5.66, 0.17, and 1.46 for breast, cervical, and colorectal cancer, respectively.
Conclusions
Comprehensive assessment of metrics by the Population-based Research Optimizing Screening through Personalized Regimens consortium enabled systematic identification of screening process steps in need of improvement. We encourage widespread use of common metrics to allow interventions to be tested across cancer types and health-care settings. |
| doi_str_mv | 10.1093/jnci/djz137 |
| format | article |
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Background
Cancer screening is a complex process encompassing risk assessment, the initial screening examination, diagnostic evaluation, and treatment of cancer precursors or early cancers. Metrics that enable comparisons across different screening targets are needed. We present population-based screening metrics for breast, cervical, and colorectal cancers for nine sites participating in the Population-based Research Optimizing Screening through Personalized Regimens consortium.
Methods
We describe how selected metrics map to a trans-organ conceptual model of the screening process. For each cancer type, we calculated calendar year 2013 metrics for the screen-eligible target population (breast: ages 40–74 years; cervical: ages 21–64 years; colorectal: ages 50–75 years). Metrics for screening participation, timely diagnostic evaluation, and diagnosed cancers in the screened and total populations are presented for the total eligible population and stratified by age group and cancer type.
Results
The overall screening-eligible populations in 2013 were 305 568 participants for breast, 3 160 128 for cervical, and 2 363 922 for colorectal cancer screening. Being up-to-date for testing was common for all three cancer types: breast (63.5%), cervical (84.6%), and colorectal (77.5%). The percentage of abnormal screens ranged from 10.7% for breast, 4.4% for cervical, and 4.5% for colorectal cancer screening. Abnormal breast screens were followed up diagnostically in almost all (96.8%) cases, and cervical and colorectal were similar (76.2% and 76.3%, respectively). Cancer rates per 1000 screens were 5.66, 0.17, and 1.46 for breast, cervical, and colorectal cancer, respectively.
Conclusions
Comprehensive assessment of metrics by the Population-based Research Optimizing Screening through Personalized Regimens consortium enabled systematic identification of screening process steps in need of improvement. We encourage widespread use of common metrics to allow interventions to be tested across cancer types and health-care settings.</description><identifier>ISSN: 0027-8874</identifier><identifier>EISSN: 1460-2105</identifier><identifier>DOI: 10.1093/jnci/djz137</identifier><identifier>PMID: 31292633</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Age ; Breast cancer ; Cancer ; Cancer screening ; Cervical cancer ; Cervix ; Colorectal cancer ; Colorectal carcinoma ; Consortia ; Customization ; Diagnostic systems ; Evaluation ; Health care ; Medical screening ; Populations ; Risk assessment</subject><ispartof>JNCI : Journal of the National Cancer Institute, 2020-03, Vol.112 (3), p.238-246</ispartof><rights>The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com. 2019</rights><rights>The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-2e0cbfde8af9b1217d87dda16cc614d04e48d2e43bafcb1d1a672a4153c5252a3</citedby><cites>FETCH-LOGICAL-c440t-2e0cbfde8af9b1217d87dda16cc614d04e48d2e43bafcb1d1a672a4153c5252a3</cites><orcidid>0000-0002-3078-4200 ; 0000-0002-8802-5143 ; 0000-0003-4651-2282 ; 0000-0002-1633-3040 ; 0000-0002-0763-989X ; 0000-0003-1630-9021 ; 0000-0001-7718-8943 ; 0000-0001-5781-5970 ; 0000-0001-7495-0285</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,786,790,891,1591,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31292633$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barlow, William E</creatorcontrib><creatorcontrib>Beaber, Elisabeth F</creatorcontrib><creatorcontrib>Geller, Berta M</creatorcontrib><creatorcontrib>Kamineni, Aruna</creatorcontrib><creatorcontrib>Zheng, Yingye</creatorcontrib><creatorcontrib>Haas, Jennifer S</creatorcontrib><creatorcontrib>Chao, Chun R</creatorcontrib><creatorcontrib>Rutter, Carolyn M</creatorcontrib><creatorcontrib>Zauber, Ann G</creatorcontrib><creatorcontrib>Sprague, Brian L</creatorcontrib><creatorcontrib>Halm, Ethan A</creatorcontrib><creatorcontrib>Weaver, Donald L</creatorcontrib><creatorcontrib>Chubak, Jessica</creatorcontrib><creatorcontrib>Doria-Rose, V Paul</creatorcontrib><creatorcontrib>Kobrin, Sarah</creatorcontrib><creatorcontrib>Onega, Tracy</creatorcontrib><creatorcontrib>Quinn, Virginia P</creatorcontrib><creatorcontrib>Schapira, Marilyn M</creatorcontrib><creatorcontrib>Tosteson, Anna N A</creatorcontrib><creatorcontrib>Corley, Douglas A</creatorcontrib><creatorcontrib>Skinner, Celette Sugg</creatorcontrib><creatorcontrib>Schnall, Mitchell D</creatorcontrib><creatorcontrib>Armstrong, Katrina</creatorcontrib><creatorcontrib>Wheeler, Cosette M</creatorcontrib><creatorcontrib>Silverberg, Michael J</creatorcontrib><creatorcontrib>Balasubramanian, Bijal A</creatorcontrib><creatorcontrib>Doubeni, Chyke A</creatorcontrib><creatorcontrib>McLerran, Dale</creatorcontrib><creatorcontrib>Tiro, Jasmin A</creatorcontrib><title>Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium</title><title>JNCI : Journal of the National Cancer Institute</title><addtitle>J Natl Cancer Inst</addtitle><description>Abstract
Background
Cancer screening is a complex process encompassing risk assessment, the initial screening examination, diagnostic evaluation, and treatment of cancer precursors or early cancers. Metrics that enable comparisons across different screening targets are needed. We present population-based screening metrics for breast, cervical, and colorectal cancers for nine sites participating in the Population-based Research Optimizing Screening through Personalized Regimens consortium.
Methods
We describe how selected metrics map to a trans-organ conceptual model of the screening process. For each cancer type, we calculated calendar year 2013 metrics for the screen-eligible target population (breast: ages 40–74 years; cervical: ages 21–64 years; colorectal: ages 50–75 years). Metrics for screening participation, timely diagnostic evaluation, and diagnosed cancers in the screened and total populations are presented for the total eligible population and stratified by age group and cancer type.
Results
The overall screening-eligible populations in 2013 were 305 568 participants for breast, 3 160 128 for cervical, and 2 363 922 for colorectal cancer screening. Being up-to-date for testing was common for all three cancer types: breast (63.5%), cervical (84.6%), and colorectal (77.5%). The percentage of abnormal screens ranged from 10.7% for breast, 4.4% for cervical, and 4.5% for colorectal cancer screening. Abnormal breast screens were followed up diagnostically in almost all (96.8%) cases, and cervical and colorectal were similar (76.2% and 76.3%, respectively). Cancer rates per 1000 screens were 5.66, 0.17, and 1.46 for breast, cervical, and colorectal cancer, respectively.
Conclusions
Comprehensive assessment of metrics by the Population-based Research Optimizing Screening through Personalized Regimens consortium enabled systematic identification of screening process steps in need of improvement. We encourage widespread use of common metrics to allow interventions to be tested across cancer types and health-care settings.</description><subject>Age</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer screening</subject><subject>Cervical cancer</subject><subject>Cervix</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Consortia</subject><subject>Customization</subject><subject>Diagnostic systems</subject><subject>Evaluation</subject><subject>Health care</subject><subject>Medical screening</subject><subject>Populations</subject><subject>Risk assessment</subject><issn>0027-8874</issn><issn>1460-2105</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kc9rFTEQx4Mo9lk9eZeAIAXf2iSb_XUR7NKqUHiPVs9hNsm2eWSTbbL7RE_-6eaxtagH5zLDzIfvzPBF6CUl7yhp8tOdk-ZU7X7QvHqEVpSXJGOUFI_RihBWZXVd8SP0LMYdSdEw_hQd5ZQ1rMzzFfp5vgc7w2TcDb6WQWt3qLYQJiPNmPrerfGFt9Z_y-ZxjcEpvJkn6Qcdce8DPgsa4rTGrQ57I8EuSOutD1pOYHELTuqAjcPTrcbbq8319irNXfRpxzw8R096sFG_uM_H6OvF-Zf2U3a5-fi5_XCZSc7JlDFNZNcrXUPfdJTRStWVUkBLKUvKFeGa14ppnnfQy44qCmXFgNMilwUrGOTH6P2iO87doJXUbgpgxRjMAOG78GDE3xNnbsWN34uKVHnDWBI4uRcI_m7WcRKDiVJbC077OQrGipKSkpd1Ql__g-78HFx6T7CCsJrURVkk6u1CyeBjDLp_OIYScXBWHJwVi7OJfvXn_Q_sbysT8GYB_Dz-V-kXT8eu-Q</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Barlow, William E</creator><creator>Beaber, Elisabeth F</creator><creator>Geller, Berta M</creator><creator>Kamineni, Aruna</creator><creator>Zheng, Yingye</creator><creator>Haas, Jennifer S</creator><creator>Chao, Chun R</creator><creator>Rutter, Carolyn M</creator><creator>Zauber, Ann G</creator><creator>Sprague, Brian L</creator><creator>Halm, Ethan A</creator><creator>Weaver, Donald L</creator><creator>Chubak, Jessica</creator><creator>Doria-Rose, V Paul</creator><creator>Kobrin, Sarah</creator><creator>Onega, Tracy</creator><creator>Quinn, Virginia P</creator><creator>Schapira, Marilyn M</creator><creator>Tosteson, Anna N A</creator><creator>Corley, Douglas A</creator><creator>Skinner, Celette Sugg</creator><creator>Schnall, Mitchell D</creator><creator>Armstrong, Katrina</creator><creator>Wheeler, Cosette M</creator><creator>Silverberg, Michael J</creator><creator>Balasubramanian, Bijal A</creator><creator>Doubeni, Chyke A</creator><creator>McLerran, Dale</creator><creator>Tiro, Jasmin A</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3078-4200</orcidid><orcidid>https://orcid.org/0000-0002-8802-5143</orcidid><orcidid>https://orcid.org/0000-0003-4651-2282</orcidid><orcidid>https://orcid.org/0000-0002-1633-3040</orcidid><orcidid>https://orcid.org/0000-0002-0763-989X</orcidid><orcidid>https://orcid.org/0000-0003-1630-9021</orcidid><orcidid>https://orcid.org/0000-0001-7718-8943</orcidid><orcidid>https://orcid.org/0000-0001-5781-5970</orcidid><orcidid>https://orcid.org/0000-0001-7495-0285</orcidid></search><sort><creationdate>20200301</creationdate><title>Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium</title><author>Barlow, William E ; Beaber, Elisabeth F ; Geller, Berta M ; Kamineni, Aruna ; Zheng, Yingye ; Haas, Jennifer S ; Chao, Chun R ; Rutter, Carolyn M ; Zauber, Ann G ; Sprague, Brian L ; Halm, Ethan A ; Weaver, Donald L ; Chubak, Jessica ; Doria-Rose, V Paul ; Kobrin, Sarah ; Onega, Tracy ; Quinn, Virginia P ; Schapira, Marilyn M ; Tosteson, Anna N A ; Corley, Douglas A ; Skinner, Celette Sugg ; Schnall, Mitchell D ; Armstrong, Katrina ; Wheeler, Cosette M ; Silverberg, Michael J ; Balasubramanian, Bijal A ; Doubeni, Chyke A ; McLerran, Dale ; Tiro, Jasmin A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-2e0cbfde8af9b1217d87dda16cc614d04e48d2e43bafcb1d1a672a4153c5252a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Cancer screening</topic><topic>Cervical cancer</topic><topic>Cervix</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Consortia</topic><topic>Customization</topic><topic>Diagnostic systems</topic><topic>Evaluation</topic><topic>Health care</topic><topic>Medical screening</topic><topic>Populations</topic><topic>Risk assessment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barlow, William E</creatorcontrib><creatorcontrib>Beaber, Elisabeth F</creatorcontrib><creatorcontrib>Geller, Berta M</creatorcontrib><creatorcontrib>Kamineni, Aruna</creatorcontrib><creatorcontrib>Zheng, Yingye</creatorcontrib><creatorcontrib>Haas, Jennifer S</creatorcontrib><creatorcontrib>Chao, Chun R</creatorcontrib><creatorcontrib>Rutter, Carolyn M</creatorcontrib><creatorcontrib>Zauber, Ann G</creatorcontrib><creatorcontrib>Sprague, Brian L</creatorcontrib><creatorcontrib>Halm, Ethan A</creatorcontrib><creatorcontrib>Weaver, Donald L</creatorcontrib><creatorcontrib>Chubak, Jessica</creatorcontrib><creatorcontrib>Doria-Rose, V Paul</creatorcontrib><creatorcontrib>Kobrin, Sarah</creatorcontrib><creatorcontrib>Onega, Tracy</creatorcontrib><creatorcontrib>Quinn, Virginia P</creatorcontrib><creatorcontrib>Schapira, Marilyn M</creatorcontrib><creatorcontrib>Tosteson, Anna N A</creatorcontrib><creatorcontrib>Corley, Douglas A</creatorcontrib><creatorcontrib>Skinner, Celette Sugg</creatorcontrib><creatorcontrib>Schnall, Mitchell D</creatorcontrib><creatorcontrib>Armstrong, Katrina</creatorcontrib><creatorcontrib>Wheeler, Cosette M</creatorcontrib><creatorcontrib>Silverberg, Michael J</creatorcontrib><creatorcontrib>Balasubramanian, Bijal A</creatorcontrib><creatorcontrib>Doubeni, Chyke A</creatorcontrib><creatorcontrib>McLerran, Dale</creatorcontrib><creatorcontrib>Tiro, Jasmin A</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS 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><collection>PubMed Central (Full Participant titles)</collection><jtitle>JNCI : Journal of the National Cancer Institute</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barlow, William E</au><au>Beaber, Elisabeth F</au><au>Geller, Berta M</au><au>Kamineni, Aruna</au><au>Zheng, Yingye</au><au>Haas, Jennifer S</au><au>Chao, Chun R</au><au>Rutter, Carolyn M</au><au>Zauber, Ann G</au><au>Sprague, Brian L</au><au>Halm, Ethan A</au><au>Weaver, Donald L</au><au>Chubak, Jessica</au><au>Doria-Rose, V Paul</au><au>Kobrin, Sarah</au><au>Onega, Tracy</au><au>Quinn, Virginia P</au><au>Schapira, Marilyn M</au><au>Tosteson, Anna N A</au><au>Corley, Douglas A</au><au>Skinner, Celette Sugg</au><au>Schnall, Mitchell D</au><au>Armstrong, Katrina</au><au>Wheeler, Cosette M</au><au>Silverberg, Michael J</au><au>Balasubramanian, Bijal A</au><au>Doubeni, Chyke A</au><au>McLerran, Dale</au><au>Tiro, Jasmin A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium</atitle><jtitle>JNCI : Journal of the National Cancer Institute</jtitle><addtitle>J Natl Cancer Inst</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>112</volume><issue>3</issue><spage>238</spage><epage>246</epage><pages>238-246</pages><issn>0027-8874</issn><eissn>1460-2105</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Abstract
Background
Cancer screening is a complex process encompassing risk assessment, the initial screening examination, diagnostic evaluation, and treatment of cancer precursors or early cancers. Metrics that enable comparisons across different screening targets are needed. We present population-based screening metrics for breast, cervical, and colorectal cancers for nine sites participating in the Population-based Research Optimizing Screening through Personalized Regimens consortium.
Methods
We describe how selected metrics map to a trans-organ conceptual model of the screening process. For each cancer type, we calculated calendar year 2013 metrics for the screen-eligible target population (breast: ages 40–74 years; cervical: ages 21–64 years; colorectal: ages 50–75 years). Metrics for screening participation, timely diagnostic evaluation, and diagnosed cancers in the screened and total populations are presented for the total eligible population and stratified by age group and cancer type.
Results
The overall screening-eligible populations in 2013 were 305 568 participants for breast, 3 160 128 for cervical, and 2 363 922 for colorectal cancer screening. Being up-to-date for testing was common for all three cancer types: breast (63.5%), cervical (84.6%), and colorectal (77.5%). The percentage of abnormal screens ranged from 10.7% for breast, 4.4% for cervical, and 4.5% for colorectal cancer screening. Abnormal breast screens were followed up diagnostically in almost all (96.8%) cases, and cervical and colorectal were similar (76.2% and 76.3%, respectively). Cancer rates per 1000 screens were 5.66, 0.17, and 1.46 for breast, cervical, and colorectal cancer, respectively.
Conclusions
Comprehensive assessment of metrics by the Population-based Research Optimizing Screening through Personalized Regimens consortium enabled systematic identification of screening process steps in need of improvement. We encourage widespread use of common metrics to allow interventions to be tested across cancer types and health-care settings.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>31292633</pmid><doi>10.1093/jnci/djz137</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3078-4200</orcidid><orcidid>https://orcid.org/0000-0002-8802-5143</orcidid><orcidid>https://orcid.org/0000-0003-4651-2282</orcidid><orcidid>https://orcid.org/0000-0002-1633-3040</orcidid><orcidid>https://orcid.org/0000-0002-0763-989X</orcidid><orcidid>https://orcid.org/0000-0003-1630-9021</orcidid><orcidid>https://orcid.org/0000-0001-7718-8943</orcidid><orcidid>https://orcid.org/0000-0001-5781-5970</orcidid><orcidid>https://orcid.org/0000-0001-7495-0285</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0027-8874 |
| ispartof | JNCI : Journal of the National Cancer Institute, 2020-03, Vol.112 (3), p.238-246 |
| issn | 0027-8874 1460-2105 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7073922 |
| source | Oxford Journals Online |
| subjects | Age Breast cancer Cancer Cancer screening Cervical cancer Cervix Colorectal cancer Colorectal carcinoma Consortia Customization Diagnostic systems Evaluation Health care Medical screening Populations Risk assessment |
| title | Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T01%3A43%3A02IST&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%20Screening%20Participation,%20Follow-up,%20and%20Outcomes%20for%20Breast,%20Cervical,%20and%20Colorectal%20Cancer%20in%20the%20PROSPR%20Consortium&rft.jtitle=JNCI%20:%20Journal%20of%20the%20National%20Cancer%20Institute&rft.au=Barlow,%20William%20E&rft.date=2020-03-01&rft.volume=112&rft.issue=3&rft.spage=238&rft.epage=246&rft.pages=238-246&rft.issn=0027-8874&rft.eissn=1460-2105&rft_id=info:doi/10.1093/jnci/djz137&rft_dat=%3Cproquest_pubme%3E2502808565%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c440t-2e0cbfde8af9b1217d87dda16cc614d04e48d2e43bafcb1d1a672a4153c5252a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2502808565&rft_id=info:pmid/31292633&rft_oup_id=10.1093/jnci/djz137&rfr_iscdi=true |