{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T19:38:04Z","timestamp":1772998684862,"version":"3.50.1"},"reference-count":28,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2019,7,8]],"date-time":"2019-07-08T00:00:00Z","timestamp":1562544000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2019,7,8]],"date-time":"2019-07-08T00:00:00Z","timestamp":1562544000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003645","name":"National Cancer Center","doi-asserted-by":"publisher","award":["NCC1810242-1"],"award-info":[{"award-number":["NCC1810242-1"]}],"id":[{"id":"10.13039\/501100003645","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2019,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>In this study, we aimed to propose a validated prediction model for disease\u2010free survival (DFS) after radical nephroureterectomy (RNU) in a Korean population with upper urinary tract urothelial carcinoma (UTUC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We performed a retrospective review of 1561 cases of UTUC who underwent either open RNU (ONU, n\u00a0=\u00a0906) or laparoscopic RNU (LNU, n\u00a0=\u00a0615) from five tertiary Korean institutions between January 2000 and December 2012. Data were used to develop a prediction model using the Cox proportional hazards model. Prognostic factors were selected using the backward variable selection method. The prediction model performance was investigated using Harrell's concordance index (C\u2010index) and Hosmer\u2010Lemeshow type 2 statistics. Internal validation was performed using a bootstrap approach, and the National Cancer Center data set (n\u00a0=\u00a0128) was used for external validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A best\u2010fitting prediction model with seven significant factors was developed. The C\u2010index and two Hosmer\u2010Lemeshow type statistics of the prediction model were 0.785 (95% CI, 0.755\u20100.815), 4.810 (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.8506), and 5.285 (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.8088). The optimism\u2010corrected estimate through the internal validation was 0.774 (95% CI, 0.744\u20100.804) and the optimism\u2010corrected calibration curve was close to the ideal line with mean absolute error\u00a0=\u00a00.012. In external validation, the discrimination was 0.657 (95% CI, 0.560\u20100.755) and the two calibration statistics were 0.790 (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.9397) and 3.103 (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.5408), respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>A validated prediction model based on a large Korean RNU cohort was developed with acceptable performance to estimate DFS in patients with UTUC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cam4.2382","type":"journal-article","created":{"date-parts":[[2019,7,8]],"date-time":"2019-07-08T09:18:41Z","timestamp":1562577521000},"page":"4967-4975","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Developing a prediction model for disease\u2010free survival from upper urinary tract urothelial carcinoma in the Korean population"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1689-5203","authenticated-orcid":false,"given":"Sung Han","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Urology, Urologic Cancer Center National Cancer Center Goyang Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mi Kyung","family":"Song","sequence":"additional","affiliation":[{"name":"Health Insurance Policy Research Institute, National Health Insurance Service Wonju Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bumsik","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Urology, Asan Medical Center University of Ulsan College of Medicine Seoul Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seok Ho","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Urology Korea University Anam Hospital, Korea University College of Medicine Seoul Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byong Chang","family":"Jeong","sequence":"additional","affiliation":[{"name":"Department of Urology Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ja Hyun","family":"Ku","sequence":"additional","affiliation":[{"name":"Department of Urology Seoul National University Hospital, Seoul National University College of Medicine Seoul Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ho Kyung","family":"Seo","sequence":"additional","affiliation":[{"name":"Department of Urology, Urologic Cancer Center National Cancer Center Goyang Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Urothelial Cancer\u2010Advanced Research, Treatment (UCART) study 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