{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T21:08:42Z","timestamp":1777928922063,"version":"3.51.4"},"reference-count":32,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T00:00:00Z","timestamp":1532563200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100000147","name":"Canadian Breast Cancer Foundation","doi-asserted-by":"publisher","award":["The Cost Effectiveness of Breast Screening Mammogr"],"award-info":[{"award-number":["The Cost Effectiveness of Breast Screening Mammogr"]}],"id":[{"id":"10.13039\/501100000147","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Med Screen"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Incidence-based mortality quantifies the distribution of cancer deaths and life-years lost, according to age at detection. We investigated the temporal distribution of the disease burden, and the effect of starting and stopping ages and interval between screening mammography examinations, on incidence-based mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Incidence-based mortality was estimated using an established breast cancer simulation model, adapted and validated to simulate breast cancer incidence, screening performance, and delivery of therapies in Canada. Ten strategies were examined, with varying starting age (40 or 50), stopping age (69 or 74), and interval (1, 2, 3 years), and \u201cNo Screening.\u201d Life-years lost were computed as the difference between model predicted time of breast cancer death and that estimated from life tables.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Without screening, 70% of the burden in terms of breast cancer deaths extends between ages 45 and 75. The mean of the distribution of ages of detection of breast cancers that will be fatal in an unscreened population is 61.8 years, while the mean age of detection weighted by the number of life-years lost is 55, a downward shift of 6.8 years. Similarly, the mean age of detection for the distribution of life-years gained through screening is lower than that for breast cancer deaths averted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Incidence-based mortality predictions from modeling elucidate the age dependence of the breast cancer burden and can provide guidance for optimizing the timing of screening regimens to achieve maximal impact. Of the regimens studied, the greatest lifesaving effect was achieved with annual screening beginning at age 40.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0969141318780152","type":"journal-article","created":{"date-parts":[[2018,7,27]],"date-time":"2018-07-27T02:34:16Z","timestamp":1532658856000},"page":"197-204","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["The effect of mammography screening regimen on incidence-based breast cancer mortality"],"prefix":"10.1177","volume":"25","author":[{"given":"Martin J","family":"Yaffe","sequence":"first","affiliation":[{"name":"Physical Sciences Program, Sunnybrook Research Institute, Toronto, Canada"},{"name":"Departments of Medical Biophysics and Medical Imaging, University of Toronto, Toronto, Canada"},{"name":"Ontario Institute for Cancer Research, Toronto, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicole","family":"Mittmann","sequence":"additional","affiliation":[{"name":"Health Outcomes and PharmacoEconomic (HOPE) Research Centre, Sunnybrook Research Institute, Toronto, Canada"},{"name":"Applied Research in Cancer Control, Department of Pharmacology, University of Toronto, Toronto, Canada"},{"name":"Department of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oguzhan","family":"Alagoz","sequence":"additional","affiliation":[{"name":"Department of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, USA"},{"name":"Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amy","family":"Trentham-Dietz","sequence":"additional","affiliation":[{"name":"Department of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna NA","family":"Tosteson","sequence":"additional","affiliation":[{"name":"The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natasha K","family":"Stout","sequence":"additional","affiliation":[{"name":"Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2018,7,26]]},"reference":[{"key":"bibr1-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1016\/0895-4356(94)90089-2"},{"key":"bibr2-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2015.12783"},{"key":"bibr3-0969141318780152","first-page":"3","volume":"26","author":"Yaffe MJ","year":"2015","journal-title":"Health Rep"},{"key":"bibr4-0969141318780152","first-page":"9","volume":"26","author":"Yaffe MJ","year":"2015","journal-title":"Health Rep"},{"key":"bibr5-0969141318780152","first-page":"16","volume":"26","author":"Mittmann NM","year":"2015","journal-title":"Health Rep"},{"key":"bibr6-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/dju092"},{"key":"bibr7-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-013-2435-z"},{"key":"bibr8-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1093\/jncimonographs\/lgj007"},{"key":"bibr9-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1177\/0272989X17711927"},{"key":"bibr10-0969141318780152","unstructured":"National Cancer Institute, Cancer Intervention and Surveillance Modeling Network. www.cisnet.gov (accessed 26 May 2018)."},{"key":"bibr11-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1016\/0140-6736(92)90997-H"},{"key":"bibr12-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1016\/0140-6736(92)90997-H"},{"key":"bibr13-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(05)66544-0"},{"key":"bibr14-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(08)60069-0"},{"key":"bibr15-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(11)61625-5"},{"key":"bibr16-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/dju055"},{"key":"bibr17-0969141318780152","unstructured":"BC Cancer Agency. Screening Mammography Program 2012 Annual report, Vancouver, BC, Canada, www.bccancer.bc.ca\/screening\/Documents\/SMP_Report-AnnualReport2012.pdf (2012, accessed 9 February 2017)."},{"key":"bibr18-0969141318780152","unstructured":"Statistics Canada. Table 103-0550 New cases of primary cancer (based on the February 2014 CCR tabulation file), by cancer type, age group and sex, Canada, provinces and territories, annual. CANSIM (database), http:\/\/www5.statcan.gc.ca\/cansim\/a26?lang=eng&id=1030550 (2015, accessed 31 July 2015)."},{"key":"bibr19-0969141318780152","unstructured":"University of Wisconsin. CISNET readers guide. Core profile documentation. Madison: University of Wisconsin, https:\/\/cisnet.flexkb.net\/mp\/pub\/CISNET_ModelProfile_BREAST_UWISC_001_07232013_58567.pdf (2013, accessed 27 April 2018)."},{"key":"bibr20-0969141318780152","doi-asserted-by":"publisher","DOI":"10.1177\/096228029200100306"},{"key":"bibr21-0969141318780152","volume-title":"Cancer survival among adults: U.S. SEER program, 1988\u20132001, patient and tumor characteristics (NIH pub. No. 07-6215)","author":"Ries LAG","year":"2007"},{"key":"bibr22-0969141318780152","unstructured":"Breast Cancer Surveillance Consortium. BCSC Mammography Data. 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