View : 96 Download: 0

Full metadata record

DC Field Value Language
dc.contributor.author이동현-
dc.date.accessioned2016-12-13T02:12:27Z-
dc.date.available2016-12-13T02:12:27Z-
dc.date.issued2008-
dc.identifier.issn0513-5796-
dc.identifier.otherOAK-4917-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/233108-
dc.description.abstractPurpose: To develop a reliable prognostic model for patients with metastatic renal cell carcinoma (RCC) based on features readily available in common clinical settings. Patients and Methods: A total of 197 patients with RCC who underwent nephrectomy and immunotherapy from 1995 to 2004 were retrospectively reviewed. Their mean age was 55.1 ± 11.8 yrs (24-83 yrs) and mean survival time from metastasis was 22.6 ± 20.2 mos (3-120 mos). The impact of 24 clinicopathological features on disease specific survival was investigated. Results: On univariate analysis, constitutional symptoms, sarcomatoid differentiation, tumor necrosis, multiple primary lesions, liver metastasis, Eastern Cooperative Oncology Group Performance Status (ECOG-PS), thrombocytosis, alkaline pbosphatase, hematocrit, T stage, N stage, and nuclear grade had significant influence on survival (p < 0.05). Multivariate analysis revealed the following features associated with survival: sarcomatoid differentiation [hazard ratio (HR)=2.99, p<0.001], liver metastasis (HR = 2.09, p = 0.002), ECOG-PS (HR = 1.95, p = 0.005), N stage (HR = 1.94, p = 0.002), and number of metastatic sites (HR = 1.76, p = 0.003). An individual prognostic score was defined as the sum of the weight of these features. According to prognostic scores, patients could be subdivided into 3 groups: low risk (score 0), intermediate risk (score 1 or 2), and high risk (score ≥ 3). Conclusion: A comprehensive prognostic stratification model was developed to predict survival and stratify patients for prospective clinical trials.-
dc.languageEnglish-
dc.titleA comprehensive prognostic stratification for patients with metastatic renal clear cell carcinoma-
dc.typeArticle-
dc.relation.issue3-
dc.relation.volume49-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.indexKCI-
dc.relation.startpage451-
dc.relation.lastpage458-
dc.relation.journaltitleYonsei Medical Journal-
dc.identifier.doi10.3349/ymj.2008.49.3.451-
dc.identifier.wosidWOS:000257277000016-
dc.identifier.scopusid2-s2.0-48649083951-
dc.author.googleCho K.S.-
dc.author.googleChoi Y.D.-
dc.author.googleKim S.J.-
dc.author.googleKim C.I.-
dc.author.googleChung B.H.-
dc.author.googleSeong D.H.-
dc.author.googleLee D.H.-
dc.author.googleCho J.S.-
dc.author.googleCho I.R.-
dc.author.googleHong S.J.-
dc.contributor.scopusid이동현(24341048900)-
dc.date.modifydate20180329110856-
Appears in Collections:
의과대학 > 의학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE