{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T03:47:20Z","timestamp":1773028040837,"version":"3.50.1"},"reference-count":46,"publisher":"Wiley","issue":"16","license":[{"start":{"date-parts":[[2010,5,13]],"date-time":"2010-05-13T00:00:00Z","timestamp":1273708800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancer"],"published-print":{"date-parts":[[2010,8,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>BACKGROUND:<\/jats:title><jats:p>Nephroureterectomy is the surgical standard of care for patients with upper urinary\u2010tract urothelial carcinoma. The objectives of the current study were to identify the most informative predictors of cancer\u2010specific mortality after nephroureterectomy, to devise an algorithm capable of predicting the individual probability of cancer\u2010specific mortality, and to compare its prognostic accuracy to that of the International Union Against Cancer (UICC) staging system.<\/jats:p><\/jats:sec><jats:sec><jats:title>METHODS:<\/jats:title><jats:p>Within the Surveillance, Epidemiology, and End Results database, the authors identified 5918 patients who had been treated with nephroureterectomy. Within the development cohort (n = 2959), multivariate Cox regression models predicting cancer\u2010specific mortality were fitted by using age, stage, nodal status, sex, grade, race, type of surgery (nephroureterectomy with or without bladder\u2010cuff removal), and tumor location (renal pelvis vs ureter). Backward variable elimination according to the Akaike information criterion identified the most accurate and parsimonious model. Model validation and calibration were performed within the external validation cohort (n = 2959). External validation was also applied to the UICC staging system.<\/jats:p><\/jats:sec><jats:sec><jats:title>RESULTS:<\/jats:title><jats:p>The 5\u2010year freedom from cancer\u2010specific mortality rates in both the development and external validation cohorts was 77.3%. The most informative and parsimonious nomogram for cancer\u2010specific\u2010mortality\u2013free survival relied on age, pT and pN stages, and tumor grade. In external validation, nomogram prediction of 5\u2010year cancer\u2010specific\u2010mortality\u2013free rate was 75.4% accurate and was significantly better (<jats:italic>P<\/jats:italic> &lt; .001) than the UICC staging system (64.8%).<\/jats:p><\/jats:sec><jats:sec><jats:title>CONCLUSIONS:<\/jats:title><jats:p>The current nomogram is capable of predicting the prognosis in patients with upper urinary\u2010tract urothelial carcinoma treated by nephroureterectomy with better accuracy than the UICC staging system. The authors recommend the application of this nomogram to routine clinical practice when counseling or making clinical decisions. Cancer 2010. \u00a9 2010 American Cancer Society.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cncr.25122","type":"journal-article","created":{"date-parts":[[2010,5,14]],"date-time":"2010-05-14T10:43:04Z","timestamp":1273833784000},"page":"3774-3784","source":"Crossref","is-referenced-by-count":72,"title":["Highly predictive survival nomogram after upper urinary tract urothelial carcinoma"],"prefix":"10.1002","volume":"116","author":[{"given":"Claudio","family":"Jeldres","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maxine","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Lughezzani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hendrik","family":"Isbarn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahrokh 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