<HashMap><database>biostudies-literature</database><scores/><additional><submitter>MacInnis RJ</submitter><funding>Cancer Australia</funding><funding>NCATS NIH HHS</funding><funding>Australian National Health</funding><funding>Victorian Health Promotion Foundation</funding><funding>Victorian Breast Cancer Research Consortium</funding><funding>Queensland Cancer Fund</funding><funding>Cancer Councils of New South Wales</funding><funding>National Breast Cancer Foundation</funding><funding>New South Wales Cancer Council</funding><funding>Australian National Breast Cancer Foundation</funding><funding>Breast Cancer Research Foundation</funding><funding>Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer</funding><funding>US National Cancer Institute</funding><funding>Medical Research Council</funding><funding>US National Institute of Health</funding><funding>The Australian Breast Cancer Family Registry</funding><funding>National Health and Medical Research Council</funding><funding>NCI NIH HHS</funding><funding>Cancer Foundation of Western Australia</funding><funding>Breast Cancer Family Registry</funding><pagination>785-791</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8168075</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>113(6)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Clinical guidelines often use predicted lifetime risk from birth to define criteria for making decisions regarding breast cancer screening rather than thresholds based on absolute 5-year risk from current age.&lt;h4>Methods&lt;/h4>We used the Prospective Family Cohort Study of 14 657 women without breast cancer at baseline in which, during a median follow-up of 10 years, 482 women were diagnosed with invasive breast cancer. We examined the performances of the International Breast Cancer Intervention Study (IBIS) and Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk models when using the alternative thresholds by comparing predictions based on 5-year risk with those based on lifetime risk from birth and remaining lifetime risk. Al</pubmed_abstract><journal>Journal of the National Cancer Institute</journal><pubmed_title>Comparing 5-Year and Lifetime Risks of Breast Cancer using the Prospective Family Study Cohort.</pubmed_title><pmcid>PMC8168075</pmcid><funding_grant_id>809195</funding_grant_id><funding_grant_id>288704</funding_grant_id><funding_grant_id>PRAC-17-004</funding_grant_id><funding_grant_id>UL1 TR001863</funding_grant_id><funding_grant_id>UL1 TR002538</funding_grant_id><funding_grant_id>1100868</funding_grant_id><funding_grant_id>145684</funding_grant_id><funding_grant_id>IF 17 kConFab</funding_grant_id><funding_grant_id>454508</funding_grant_id><funding_grant_id>UM1 CA164920</funding_grant_id><funding_grant_id>R01 CA159868</funding_grant_id><funding_grant_id>RO1CA159868</funding_grant_id><funding_grant_id>U01 CA164920</funding_grant_id><funding_grant_id>U01CA164920</funding_grant_id><pubmed_authors>Goldgar D</pubmed_authors><pubmed_authors>Liao Y</pubmed_authors><pubmed_authors>Milne RL</pubmed_authors><pubmed_authors>Southey MC</pubmed_authors><pubmed_authors>Knight JA</pubmed_authors><pubmed_authors>Andrulis IL</pubmed_authors><pubmed_authors>Buchsbaum R</pubmed_authors><pubmed_authors>Chung WK</pubmed_authors><pubmed_authors>Phillips KA</pubmed_authors><pubmed_authors>Dite GS</pubmed_authors><pubmed_authors>Buys SS</pubmed_authors><pubmed_authors>Hopper JL</pubmed_authors><pubmed_authors>Terry MB</pubmed_authors><pubmed_authors>Whittemore AS</pubmed_authors><pubmed_authors>Giles GG</pubmed_authors><pubmed_authors>kConFab Investigators</pubmed_authors><pubmed_authors>Kurian AW</pubmed_authors><pubmed_authors>Daly MB</pubmed_authors><pubmed_authors>MacInnis RJ</pubmed_authors><pubmed_authors>John EM</pubmed_authors><pubmed_authors>Zeinomar N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comparing 5-Year and Lifetime Risks of Breast Cancer using the Prospective Family Study Cohort.</name><description>&lt;h4>Background&lt;/h4>Clinical guidelines often use predicted lifetime risk from birth to define criteria for making decisions regarding breast cancer screening rather than thresholds based on absolute 5-year risk from current age.&lt;h4>Methods&lt;/h4>We used the Prospective Family Cohort Study of 14 657 women without breast cancer at baseline in which, during a median follow-up of 10 years, 482 women were diagnosed with invasive breast cancer. We examined the performances of the International Breast Cancer Intervention Study (IBIS) and Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk models when using the alternative thresholds by comparing predictions based on 5-year risk with those based on lifetime risk from birth and remaining lifetime risk. Al</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jun</publication><modification>2026-07-16T10:39:16.166Z</modification><creation>2026-07-09T10:51:36.898Z</creation></dates><accession>S-EPMC8168075</accession><cross_references><pubmed>33301022</pubmed><doi>10.1093/jnci/djaa178</doi></cross_references></HashMap>