{"id":7885,"date":"2020-05-17T15:46:45","date_gmt":"2020-05-17T13:46:45","guid":{"rendered":"https:\/\/www.endoscopy-campus.com\/?post_type=ec-news&#038;p=7885"},"modified":"2020-05-17T15:46:46","modified_gmt":"2020-05-17T13:46:46","slug":"predicting-crc-in-unscreened-populations-by-cbc","status":"publish","type":"ec-news","link":"https:\/\/www.endoscopy-campus.com\/en\/ec-news\/predicting-crc-in-unscreened-populations-by-cbc\/","title":{"rendered":"Predicting CRC in Unscreened Populations by CBC"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">About one-third of the U.S. population is unscreened for colorectal cancer (CRC). One approach to early detection in this population is to screen health care databases for laboratory, demographic, and\/or other clinical features associated with a risk of CRC.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the current nested case-control study, an algorithm based largely on levels and trends in complete blood count (CBC) as well as demographic factors was tested. Its sensitivity for predicting CRC within 6 months was 35.4%, including 51.8% in the proximal colon and 27.3% in the distal colon. The sensitivity for CRC stage II or less was 28.8%, and stage III and IV combined was 43.4%. The model\u2019s performance did not differ by gender, race, or body mass index. Using the cutoff in the algorithm, the predictive odds ratio for proximal cancer was 34.7 and for distal cancer, it was 12.1.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>About one-third of the U.S. population is unscreened for colorectal cancer (CRC). One approach to early detection in this population is to screen health care databases for laboratory, demographic, and\/or other clinical features associated with a risk of CRC. In the current nested case-control study, an algorithm based largely on levels and trends in complete &#8230; <a title=\"Predicting CRC in Unscreened Populations by CBC\" class=\"read-more\" href=\"https:\/\/www.endoscopy-campus.com\/en\/ec-news\/predicting-crc-in-unscreened-populations-by-cbc\/\" aria-label=\"Read more about Predicting CRC in Unscreened Populations by CBC\">Read more<\/a><\/p>\n","protected":false},"template":"","categories":[1768,1769],"tags":[1343],"class_list":["post-7885","ec-news","type-ec-news","status-publish","hentry","category-asge-journal-scan","category-asge-kolon","tag-crc"],"_links":{"self":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/ec-news\/7885","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/ec-news"}],"about":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/types\/ec-news"}],"wp:attachment":[{"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/media?parent=7885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/categories?post=7885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.endoscopy-campus.com\/en\/wp-json\/wp\/v2\/tags?post=7885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}