DSpace Repository

A preoperative prognostic model predicting recurrence-free survival for patients with kidney cancer

Show simple item record

dc.contributor.author Yaycioglu, O.
dc.contributor.author Eskiçorapçı, Saadettin
dc.contributor.author Karabulut, E.
dc.contributor.author Soyupak, B.
dc.contributor.author Gogus, C.
dc.contributor.author Divrik, T.
dc.contributor.author Turkeri, L.
dc.contributor.author Yazici, S.
dc.contributor.author Ozen, H.
dc.date.accessioned 2019-08-16T12:38:48Z
dc.date.available 2019-08-16T12:38:48Z
dc.date.issued 2013
dc.identifier.issn 03682811 (ISSN)
dc.identifier.uri http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/8334
dc.description.abstract Objective: To develop a preoperative prognostic model in order to predict recurrence-free survival in patients with nonmetastatic kidney cancer. Methods: A multi-institutional data base of 1889 patients who underwent surgical resection between 1987 and 2007 for kidney cancer was retrospectively analyzed. Preoperative variables were defined as age, gender, presentation, size, presence of radiological lymph nodes and clinical stage. Univariate and multivariate analyses of the variables were performed using the Cox proportional hazards regression model. A model was developed with preoperative variables as predictors of recurrence after nephrectomy. Internal validation was performed by Harrell's concordance index. Results: The median follow-up was 23.6 months (1-222 months). During the follow-up, 258 patients (13.7%) developed cancer recurrence. The median follow-up for patients who did not develop recurrence was 25 months. The median time from surgery to recurrence was 13 months. The 5-year freedom from recurrence probability was 78.6%. All variables except age were associated with freedom from recurrence in multivariate analyses (P < 0.05). Age was marginally significant in the univariate analysis. All variables were included in the predictive model. The calculated c-index was 0.747. Conclusions: This preoperative model utilizes easy to obtain clinical variables and predicts the likelihood of development of recurrent disease in patients with kidney tumors. © The Author 2012. Published by Oxford University Press. All rights reserved.
dc.language.iso English
dc.relation.isversionof 10.1093/jjco/hys192
dc.rights info:eu-repo/semantics/openAccess
dc.subject Kidney cancer
dc.subject Nephrectomy
dc.subject Nomograms
dc.subject Survival
dc.subject adult
dc.subject age
dc.subject aged
dc.subject article
dc.subject cancer patient
dc.subject cancer prognosis
dc.subject cancer recurrence
dc.subject cancer staging
dc.subject cancer survival
dc.subject cancer survivor
dc.subject female
dc.subject human
dc.subject kidney cancer
dc.subject major clinical study
dc.subject male
dc.subject medical record review
dc.subject nephrectomy
dc.subject prediction
dc.subject preoperative evaluation
dc.subject probability
dc.subject recurrence free survival
dc.subject Carcinoma, Renal Cell
dc.subject Female
dc.subject Follow-Up Studies
dc.subject Humans
dc.subject Kidney Neoplasms
dc.subject Male
dc.subject Middle Aged
dc.subject Neoplasm Recurrence, Local
dc.subject Neoplasm Staging
dc.subject Predictive Value of Tests
dc.subject Preoperative Care
dc.subject Prognosis
dc.subject Retrospective Studies
dc.subject Survival Rate
dc.subject Time Factors
dc.title A preoperative prognostic model predicting recurrence-free survival for patients with kidney cancer
dc.type Article
dc.relation.journal Japanese Journal of Clinical Oncology
dc.identifier.volume 43
dc.identifier.issue 1
dc.identifier.startpage 63
dc.identifier.endpage 68
dc.relation.publicationCategory Uluslararası Hakemli Dergi
dc.identifier.index Scopus
dc.identifier.index WOS

Files in this item

This item appears in the following Collection(s)

Show simple item record