2015
DOI: 10.1016/j.euf.2014.10.003
|View full text |Cite
|
Sign up to set email alerts
|

Prognostic Model for Predicting Survival in Patients with Disease Recurrence Following Radical Cystectomy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 27 publications
0
3
0
Order By: Relevance
“…Liver involvement is far from rare for mBC and provides worst survival outcomes [ 5 ]; however, it was reported in only three mNMIBC cases. Time to relapse, or MFS interval, is a survival prognostic factor for mBC following radical cystectomy [ 28 ]. MFS intervals of MIBC-dominated cohorts are around 1–2 years [ 26 , 29 ].…”
Section: Discussionmentioning
confidence: 99%
“…Liver involvement is far from rare for mBC and provides worst survival outcomes [ 5 ]; however, it was reported in only three mNMIBC cases. Time to relapse, or MFS interval, is a survival prognostic factor for mBC following radical cystectomy [ 28 ]. MFS intervals of MIBC-dominated cohorts are around 1–2 years [ 26 , 29 ].…”
Section: Discussionmentioning
confidence: 99%
“…Intense investigation of molecular alterations involved in different steps of invasion, progression, and metastases of UCB has revealed various promising tissue-, blood, and urine-based biomarkers as predictors for outcome in different bladder cancer settings [ 33 , 34 , 35 , 36 , 37 , 38 ]. Several predictive and prognostic models have been designed, but to this point none of these have reached a sufficient level of discrimination to allow implementation in daily clinical practice [ 37 , 39 , 40 , 41 , 42 , 43 ].…”
Section: Discussionmentioning
confidence: 99%
“…The 5-year overall survival rate of LN-positive patients is <30% [4] . Although several studies have indicated that predictive models incorporating genetic and clinical factors are useful in predicting the prognosis of UC, few studies have validated the utility of predictive models for the improvement of clinical decision-making [ 5 , 6 ]. Moreover, owing to the striking molecular heterogeneity, patients with UC with the same grade and stage might present distinct outcomes.…”
Section: Introductionmentioning
confidence: 99%