{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:30Z","timestamp":1755219810775,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643686080"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Population-based insights into the risk of metastatic recurrence are typically unavailable due to the absence of recurrence-specific data in cancer registries. This study presents an innovative method for estimating recurrence risk using disease-specific survival data from cancer registries. The methodology integrates an illness-death model with a mixture-cure framework for net cancer survival. Recurrence risk is derived by analysing survival outcomes for the non-cured subgroup, complemented by existing data on post-recurrence survival. The approach was applied to disease-specific survival data for Lung cancer cases recorded in the SEER registry (2000\u20132021). Findings reveal higher recurrence rates among older patients, those with advanced-stage diagnoses, and individuals with small cell Lung cancer. This research delivers the first population-level estimates of Lung cancer recurrence risk in US patients, showcasing how disease-specific survival data can inform recurrence risk estimation to support early detection and tailored oncology treatments.<\/jats:p>","DOI":"10.3233\/shti250841","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:32:45Z","timestamp":1754566365000},"source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Cancer Registry Survival Data to Estimate Lung Cancer Recurrence"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8232-9023","authenticated-orcid":false,"given":"Aaron Percy","family":"Pereira","sequence":"first","affiliation":[{"name":"University of Wollongong, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexis Andrew","family":"Miller","sequence":"additional","affiliation":[{"name":"Illawarra Shoalhaven Local Health District, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoa","family":"Dam","sequence":"additional","affiliation":[{"name":"University of Wollongong, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatimah","family":"Altuhaifa","sequence":"additional","affiliation":[{"name":"University of Wollongong, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khin Than","family":"Win","sequence":"additional","affiliation":[{"name":"University of Wollongong, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250841","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:32:45Z","timestamp":1754566365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250841"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250841","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}