Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Predictors of Long-Term Survival after Renal Cancer Surgery
Joseph Zabell
, Sevag Demirjian
, Brian R. Lane
, Ithaar H. Derweesh
, Sudhir Isharwal
, Chalairat Suk-Ouichai
, Jitao Wu
, Diego Aguilar Palacios
, Steven C. Campbell
Urology
Cancer Immunology
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Predictors of Long-Term Survival after Renal Cancer Surgery'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
After Surgery
18%
C-index
9%
Cancer Mortality
45%
Cancer Surgery
100%
Chronic Kidney Disease
36%
Cumulative Probability
9%
Diabetes Disease
9%
Disease Status
9%
Functional Covariates
9%
General Health Status
9%
Glomerular Filtration Rate
100%
Heart Disease
9%
Long-term Function
9%
Long-term Survival
100%
Loss Rate
36%
Mild Chronic Kidney Disease
9%
Mortality Prediction
9%
Multivariable Logistic Regression
9%
Multivariable Modeling
18%
Partial Nephrectomy
27%
Patient Tumor
9%
Preoperative Function
9%
Radical Nephrectomy
27%
Renal Cancer
100%
Selection Bias
9%
Significant Predictors
9%
Spearman
9%
Strong Selection
9%
Medicine and Dentistry
Cancer Mortality
45%
Cancer Surgery
100%
Chronic Kidney Disease
45%
Diabetes
9%
Glomerular Filtration Rate
100%
Health Status
9%
Heart Disease
9%
Kidney Cancer
100%
Logistic Regression Analysis
9%
Long Term Survival
100%
Neoplasm
9%
Partial Nephrectomy
27%
Radical Nephrectomy
27%
Selection Bias
9%