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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.3389/fmed.2021.712040</dc:identifier><dc:language>eng</dc:language><dc:creator>Aznar-Gimeno, R.</dc:creator><dc:creator>Carrera-Lasfuentes, P.</dc:creator><dc:creator>del-Hoyo-Alonso, R.</dc:creator><dc:creator>Doblare, M.</dc:creator><dc:creator>Lanas, A.</dc:creator><dc:title>Evidence-based selection on the appropriate FIT cut-off point in CRC screening programs in the COVID pandemic</dc:title><dc:identifier>ART-2021-125746</dc:identifier><dc:description>Background: The COVID pandemic has forced the closure of many colorectal cancer (CRC) screening programs. Resuming these programs is a priority, but fewer colonoscopies may be available. We developed an evidence-based tool for decision-making in CRC screening programs, based on a fecal hemoglobin immunological test (FIT), to optimize the strategy for screening a population for CRC. Methods: We retrospectively analyzed data collected at a regional CRC screening program between February/2014 and November/2018. We investigated two different scenarios: not modifying vs. modifying the FIT cut-off value. We estimated program outcomes in the two scenarios by evaluating the numbers of cancers and adenomas missed or not diagnosed in due time (delayed). Results: The current FIT cut-off (20-mu g hemoglobin/g feces) led to 6, 606 colonoscopies per 100, 000 people invited annually. Without modifying this FIT cut-off value, when the optimal number of individuals invited for colonoscopies was reduced by 10-40%, a high number of CRCs and high-risk adenomas (34-135 and 73-288/100.000-people invited, respectively) will be undetected every year. When the FIT cut-off value was increased to where the colonoscopy demand matched the colonoscopy availability, the number of missed lesions per year was remarkably reduced (9-36 and 29-145/100.000 people, respectively). Moreover, the unmodified FIT scenario outcome was improved by prioritizing the selection process based on sex (males) and age, rather than randomly reducing the number invited. Conclusions: Assuming a mismatch between the availability and demand for annual colonoscopies, increasing the FIT cut-off point was more effective than randomly reducing the number of people invited. Using specific risk factors to prioritize access to colonoscopies should be also considered.</dc:description><dc:date>2021</dc:date><dc:source>http://zaguan.unizar.es/record/117192</dc:source><dc:doi>10.3389/fmed.2021.712040</dc:doi><dc:identifier>http://zaguan.unizar.es/record/117192</dc:identifier><dc:identifier>oai:zaguan.unizar.es:117192</dc:identifier><dc:identifier.citation>Frontiers in Medicine 8 (2021), 712040 [10 pp.]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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