A postoperative prognostic nomogram for renal cell carcinoma

Journal of Urology

Volumn 166, Issue 1, 2001, Pages 63-67

  Kattan, Michael W ^a   Reuter, Victor ^b   Motzer, Robert J ^b   Katz, Jared ^b   Russo, Paul ^b  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^b NONE

Author keywords

Abnormalities; Carcinoma; Neoplasms; Renal cell

Indexed keywords

ADULT; AGED; ARTICLE; CANCER RECURRENCE; CANCER STAGING; COHORT ANALYSIS; FEMALE; HUMAN; KIDNEY CARCINOMA; MAJOR CLINICAL STUDY; MALE; NEPHRECTOMY; PRIORITY JOURNAL; PROBABILITY; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; TREATMENT FAILURE; TUMOR VOLUME; VALIDATION PROCESS;

EID: 0034966994     PISSN: 00225347     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-5347(05)66077-6     Document Type: Article

References (22)

1. Cancer statistics, 2000
2. The Heidelberg classification of renal cell tumors
3. Urological tumors
4. Pathologic findings at the time of nephrectomy for renal mass
5. Resection of metastatic renal cell carcinoma
6. Multiple primary malignancies in renal cell carcinoma
7. Bilateral non-familial renal cell carcinoma
8. Experiments to determine whether recursive partitioning (CART) or an artificial neural network overcomes theoretical limitations of Cox proportional hazards regression
9. The predictive accuracy of computer-based classification decision techniques. A review and research directions
10. Regression trees for censored data
11. Polychotomous regression
12. Evaluating the yield of medical tests
13. Nonparametric estimation from incomplete observations
14. Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
15. Surgical management of renal tumors 4 cm. or less in a contemporary cohort