Predicting length of stay after robotic partial nephrectomy.

Journal: International urology and nephrology

Published Date: Jul 9, 2015

Abstract

INTRODUCTION: To investigate factors predictive of length of stay (LOS) after robotic partial nephrectomy (RPN) in an effort to identify patients suitable for RPN with overnight stay at outpatient surgical facilities.

Authors

Wassim M Bazzi

Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Daniel D Sjoberg
Angelica A C Grasso
Melanie Bernstein
Raul Parra
Jonathan A Coleman

Keywords

Aged Female Follow-Up Studies Humans Kidney Neoplasms Length of Stay Male Middle Aged Nephrectomy Retrospective Studies Robotics Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (26156732)

Predicting length of stay after robotic partial nephrectomy.

Abstract

Authors

Keywords

External Resources

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