{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T19:06:38Z","timestamp":1767899198602,"version":"3.49.0"},"reference-count":24,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T00:00:00Z","timestamp":1548115200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJU International"],"published-print":{"date-parts":[[2019,6]]},"abstract":"\n Objective<\/jats:title>\n To evaluate the predictive nature of several clinicopathological variables by developing a nomogram predictive for lymph node\u2010positive disease using the National Cancer Database cohort of patients with squamous cell carcinoma of the penis.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n Stepwise logistic regression was used to find the best\u2010fit model; remaining clinical variables were used to create a nomogram to predict the probability of lymph node\u2010positive disease.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n On multivariate analysis, high pathological grade (3\u20134 vs 1: odds ratio [\n OR<\/jats:styled-content>\n ] 3.27, 95% confidence interval [\n CI<\/jats:styled-content>\n ] 1.70\u20136.29; 2 vs 1:\n OR<\/jats:styled-content>\n 2.58, 95%\n CI<\/jats:styled-content>\n 1.39\u20134.79 [\n P<\/jats:italic>\n = 0.002]), lymphovascular invasion (\n OR<\/jats:styled-content>\n 2.49, 95%\n CI<\/jats:styled-content>\n 1.61\u20133.84 [\n P<\/jats:italic>\n < 0.001]), and positive clinical lymph node status (N1 vs N0:\n OR<\/jats:styled-content>\n 20.0, 95%\n CI<\/jats:styled-content>\n 11.4\u201335.7; N2 vs N0:\n OR<\/jats:styled-content>\n 27.8, 95%\n CI<\/jats:styled-content>\n 14.1\u201355.6; N3 vs N0:\n OR<\/jats:styled-content>\n 49.2, 95%\n CI<\/jats:styled-content>\n 14.8\u2013162.8 [\n P<\/jats:italic>\n < 0.001]) were predictors of lymph node metastasis in penile cancer. The bootstrap\u2010corrected concordance index of this nomogram was 0.880.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Using tumour grade, tumour lymphovascular invasion and clinical lymph node status, we developed a nomogram highly predictive of pathologial lymph node metastasis that, after further external validation, could be helpful in the surgical decision\u2010making process.<\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/bju.14652","type":"journal-article","created":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T13:37:58Z","timestamp":1544535478000},"page":"1005-1010","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["A National Cancer Database\u2010based nomogram to predict lymph node metastasis in penile cancer"],"prefix":"10.1111","volume":"123","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2984-232X","authenticated-orcid":false,"given":"Taylor 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