{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:38:36Z","timestamp":1760236716771,"version":"build-2065373602"},"reference-count":55,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T00:00:00Z","timestamp":1640044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004082","name":"Korean Foundation for Cancer Research","doi-asserted-by":"publisher","award":["KFCR-2017-C-1"],"award-info":[{"award-number":["KFCR-2017-C-1"]}],"id":[{"id":"10.13039\/501100004082","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JPM"],"abstract":"<jats:p>Prostate cancer is the fourth most common cause of cancer in men in Korea, and there has been a rapid increase in cases. In the present study, we constructed a risk prediction model for prostate cancer using representative data from Korea. Participants who completed health examinations in 2009, based on the Korean National Health Insurance database, were eligible for the present study. The crude and adjusted risks were explored with backward selection using the Cox proportional hazards model to identify possible risk variables. Risk scores were assigned based on the adjusted hazard ratios, and the standardized points for each risk factor were proportional to the \u03b2-coefficient. Model discrimination was assessed using the concordance statistic (c-statistic), and calibration ability was assessed by plotting the mean predicted probability against the mean observed probability of prostate cancer. Among the candidate predictors, age, smoking intensity, body mass index, regular exercise, presence of type 2 diabetes mellitus, and hypertension were included. Our risk prediction model showed good discrimination (c-statistic: 0.826, 95% confidence interval: 0.821\u20130.832). The relationship between model predictions and actual prostate cancer development showed good correlation in the calibration plot. Our prediction model for individualized prostate cancer risk in Korean men showed good performance. Using easily accessible and modifiable risk factors, this model can help individuals make decisions regarding prostate cancer screening.<\/jats:p>","DOI":"10.3390\/jpm12010002","type":"journal-article","created":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T01:08:09Z","timestamp":1640135289000},"page":"2","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data"],"prefix":"10.3390","volume":"12","author":[{"given":"Yohwan","family":"Yeo","sequence":"first","affiliation":[{"name":"Department of Family Medicine and Supportive Care Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Korea"},{"name":"Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul 03080, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Wook","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Family Medicine and Supportive Care Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Korea"},{"name":"Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea"},{"name":"Department of Digital Health, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul 06351, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jungkwon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Family Medicine and Supportive Care Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Korea"},{"name":"Bucheon Geriatric Medical Center, Bucheon 14478, Gyeonggi-do, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyungdo","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Statistics and Actuarial Science, Soongsil University, Seoul 06978, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang Hyun","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul 06951, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keun Hye","family":"Jeon","sequence":"additional","affiliation":[{"name":"Department of Family Medicine, CHA Gumi Medical Center, Gumi 38295, Gyeongsangbuk-do, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jungeun","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Family Medicine and Supportive Care Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Korea"},{"name":"Department of International Health Service, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6426-1969","authenticated-orcid":false,"given":"Aesun","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul 03080, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6158-3359","authenticated-orcid":false,"given":"Jinsung","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Urology, Uijeongbu Eulji Medical Center, School of Medicine, Eulji University, Uijeongbu-si 11759, Gyeonggi-do, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,21]]},"reference":[{"key":"ref_1","unstructured":"International Agency for Research on Cancer (2021, September 10). 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