Predicting length of stay after robotic partial nephrectomy Academic Article uri icon

Overview

MeSH Major

  • Kidney Neoplasms
  • Length of Stay
  • Nephrectomy
  • Robotics

abstract

  • LOS after RPN is influenced by age, gender, medical comorbidities, and tumor size. However, when analyzed retrospectively, these factors had limited ability to predict LOS after RPN with sufficient accuracy to develop a prediction tool.

publication date

  • August 31, 2015

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4538957

Digital Object Identifier (DOI)

  • 10.1007/s11255-015-1044-7

PubMed ID

  • 26156732

Additional Document Info

start page

  • 1321

end page

  • 5

volume

  • 47

number

  • 8