<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Barlow WE</submitter><funding>PROSPR</funding><funding>NCI</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><pagination>238-246</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7073922</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>112(3)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>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). Metr</pubmed_abstract><journal>Journal of the National Cancer Institute</journal><pubmed_title>Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium.</pubmed_title><pmcid>PMC7073922</pmcid><funding_grant_id>U01CA163304</funding_grant_id><funding_grant_id>U54CA163307</funding_grant_id><funding_grant_id>U54CA163308</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>U54CA163313</funding_grant_id><funding_grant_id>U54CA164336</funding_grant_id><funding_grant_id>U54CA163303</funding_grant_id><funding_grant_id>U54 CA163308</funding_grant_id><funding_grant_id>U54 CA163307</funding_grant_id><funding_grant_id>U54CA163308-04S1</funding_grant_id><funding_grant_id>U54 CA163303</funding_grant_id><funding_grant_id>U54CA163261</funding_grant_id><funding_grant_id>U54CA163262</funding_grant_id><funding_grant_id>U54 CA163313</funding_grant_id><funding_grant_id>U54 CA164336</funding_grant_id><funding_grant_id>U54CA163261-04S1</funding_grant_id><funding_grant_id>P30 CA016086</funding_grant_id><funding_grant_id>U54 CA163262</funding_grant_id><funding_grant_id>U54 CA163261</funding_grant_id><funding_grant_id>U01 CA163304</funding_grant_id><funding_grant_id>U54CA163262-04S1</funding_grant_id><pubmed_authors>Doubeni CA</pubmed_authors><pubmed_authors>Armstrong K</pubmed_authors><pubmed_authors>Beaber EF</pubmed_authors><pubmed_authors>Doria-Rose VP</pubmed_authors><pubmed_authors>Corley DA</pubmed_authors><pubmed_authors>Balasubramanian BA</pubmed_authors><pubmed_authors>Halm EA</pubmed_authors><pubmed_authors>Schapira MM</pubmed_authors><pubmed_authors>Kobrin S</pubmed_authors><pubmed_authors>Onega T</pubmed_authors><pubmed_authors>Barlow WE</pubmed_authors><pubmed_authors>Chubak J</pubmed_authors><pubmed_authors>Skinner CS</pubmed_authors><pubmed_authors>McLerran D</pubmed_authors><pubmed_authors>Sprague BL</pubmed_authors><pubmed_authors>Kamineni A</pubmed_authors><pubmed_authors>Silverberg MJ</pubmed_authors><pubmed_authors>Wheeler CM</pubmed_authors><pubmed_authors>Geller BM</pubmed_authors><pubmed_authors>Zheng Y</pubmed_authors><pubmed_authors>Tosteson ANA</pubmed_authors><pubmed_authors>Rutter CM</pubmed_authors><pubmed_authors>Haas JS</pubmed_authors><pubmed_authors>Weaver DL</pubmed_authors><pubmed_authors>Quinn VP</pubmed_authors><pubmed_authors>Tiro JA</pubmed_authors><pubmed_authors>Schnall MD</pubmed_authors><pubmed_authors>Zauber AG</pubmed_authors><pubmed_authors>Chao CR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium.</name><description>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>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). Metr</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Mar</publication><modification>2025-04-21T20:11:02.321Z</modification><creation>2025-04-05T17:53:32.486Z</creation></dates><accession>S-EPMC7073922</accession><cross_references><pubmed>31292633</pubmed><doi>10.1093/jnci/djz137</doi></cross_references></HashMap>