Preoperative multivariable prognostic models for prediction of survival and major complications following surgical resection of renal cell carcinoma with suprahepatic caval tumor thrombus.

Saved in:
Bibliographic Details
Title: Preoperative multivariable prognostic models for prediction of survival and major complications following surgical resection of renal cell carcinoma with suprahepatic caval tumor thrombus.
Authors: Haddad AQ; Department of Urology, The University of Texas Southwestern Medical Center, Dallas, TX., Leibovich BC; Department of Urology, The University of Texas Southwestern Medical Center, Dallas, TX; Department of Urology, Mayo Medical School and Mayo Clinic, Rochester, MN., Abel EJ; Department of Urology, University of Wisconsin School of Medicine, Madison WI., Luo JH; Department of Urology, The University of Texas Southwestern Medical Center, Dallas, TX., Krabbe LM; Department of Urology, The University of Texas Southwestern Medical Center, Dallas, TX; University of Muenster Medical Center, Muenster, Germany., Thompson RH; Department of Urology, Mayo Medical School and Mayo Clinic, Rochester, MN., Heckman JE; Department of Urology, University of Wisconsin School of Medicine, Madison WI., Merrill MM; Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas., Gayed BA; Department of Urology, The University of Texas Southwestern Medical Center, Dallas, TX., Sagalowsky AI; Department of Urology, The University of Texas Southwestern Medical Center, Dallas, TX., Boorjian SA; Department of Urology, Mayo Medical School and Mayo Clinic, Rochester, MN., Wood CG; Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas., Margulis V; Department of Urology, The University of Texas Southwestern Medical Center, Dallas, TX. Electronic address: vmargu@hotmail.com.
Source: Urologic oncology [Urol Oncol] 2015 Sep; Vol. 33 (9), pp. 388.e1-9. Date of Electronic Publication: 2015 May 23.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 9805460 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2496 (Electronic) Linking ISSN: 10781439 NLM ISO Abbreviation: Urol Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2496
DOI:10.1016/j.urolonc.2015.04.010