{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T04:11:54Z","timestamp":1749615114625,"version":"3.41.0"},"reference-count":32,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T00:00:00Z","timestamp":1749513600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"JSPS KAKENHI","award":["JP20H04354"],"award-info":[{"award-number":["JP20H04354"]}]},{"name":"Research Project on the Health Effects of Radiation, organized by the Ministry of the Environment"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"\nBackground<\/jats:title>\nAfter the 2011 Great East Japan Earthquake, participation in colorectal cancer (CRC) screening significantly decreased in Minamisoma City, Fukushima Prefecture. However, the long-term health effects of this decline in screening participation have not been quantified. This study aims to construct a model to evaluate the impact of post-disaster decreases in CRC screening participation on population health.<\/jats:p>\n<\/jats:sec>\n\nMethods<\/jats:title>\nWe utilized the population and CRC screening data targeting 40\u201374 years-old residents in Minamisoma City. We compared the actual screening participation in 2011 with projected participation rates based on pre-disaster levels to estimate the number of residents who missed screening due to the disaster. Based on national CRC screening performance data and stage-specific survival rates in Japan, we estimated the number of missed CRC cases and modeled the additional the loss of life expectancy (LLE) due to CRC resulting from a one-year delay in diagnosis.<\/jats:p>\n<\/jats:sec>\n\nResults<\/jats:title>\nThe estimated number of colorectal cancer cases that might have been missed due to decreased screening participation was 1.794 (95% uncertainty interval: 1.597 to 1.994) for men and 1.203 (0.931 to 1.491) for women. The missed detection opportunities estimated result in 0.428 (0.282 to 0.582) person-years [2.684 (1.793 to 3.604) years per 10,000 persons] and 0.229 (0.103 to 0.372) person-years [0.993 (0.450 to 1.608) years per 10,000 persons] of additional LLE for men and women, respectively. The estimated cost per life-year saved was 1.12<\/mml:mn>\u00d7<\/mml:mi>10<\/mml:mn>6<\/mml:mn><\/mml:mrow><\/mml:msup>\u00a0<\/mml:mo>(<\/mml:mo>0.81<\/mml:mn>\u00d7<\/mml:mi>10<\/mml:mn>6<\/mml:mn><\/mml:mrow><\/mml:msup>\u00a0<\/mml:mo>\u00a0<\/mml:mo>t<\/mml:mi>o<\/mml:mi>\u00a0<\/mml:mo>1.62<\/mml:mn>\u00d7<\/mml:mi>10<\/mml:mn>6<\/mml:mn><\/mml:mrow><\/mml:msup>\u00a0<\/mml:mo><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>yen for men and 3.65<\/mml:mn>\u00d7<\/mml:mi>10<\/mml:mn>6<\/mml:mn><\/mml:mrow><\/mml:msup>\u00a0<\/mml:mo>\u00a0<\/mml:mo>(<\/mml:mo>2.02<\/mml:mn>\u00d7<\/mml:mi>10<\/mml:mn>6<\/mml:mn><\/mml:mrow><\/mml:msup>\u00a0<\/mml:mo>\u00a0<\/mml:mo>t<\/mml:mi>o<\/mml:mi>\u00a0<\/mml:mo>7.19<\/mml:mn>\u00d7<\/mml:mi>10<\/mml:mn>6<\/mml:mn><\/mml:mrow><\/mml:msup>\u00a0<\/mml:mo>)<\/mml:mo><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula> yen for women, respectively.<\/jats:p>\n<\/jats:sec>\n\nConclusions<\/jats:title>\nThe calculated additional LLE due to missed CRC screening was relatively small but suggests preventive health services should be considered in disaster response planning. These findings provide a quantitative framework for evaluating health impacts of service disruptions.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0324822","type":"journal-article","created":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T17:30:47Z","timestamp":1749576647000},"page":"e0324822","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Estimating the impact of missed colorectal cancer diagnoses on life expectancy in Minamisoma City following the 2011 triple disaster"],"prefix":"10.1371","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0824-454X","authenticated-orcid":true,"given":"Hiroaki","family":"Saito","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5557-9801","authenticated-orcid":true,"given":"Michio","family":"Murakami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akihiko","family":"Ozaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshitaka","family":"Nishikawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toyoaki","family":"Sawano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuki","family":"Shimada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sho","family":"Fujioka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianchen","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoyoshi","family":"Oikawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukio","family":"Kanazawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masaharu","family":"Tsubokura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2025,6,10]]},"reference":[{"issue":"30","key":"pone.0324822.ref001","doi-asserted-by":"crossref","first-page":"5286","DOI":"10.1002\/sim.5943","article-title":"Estimating the loss in expectation of life due to cancer using flexible parametric survival models","volume":"32","author":"TM-L Andersson","year":"2013","journal-title":"Stat Med"},{"issue":"1","key":"pone.0324822.ref002","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1111\/joim.13139","article-title":"Cancer survival statistics for patients and healthcare professionals - 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