Literature DB >> 29470186

A Comparison of Outcomes Between Open Hysterectomy and Robotic-Assisted Hysterectomy for Endometrial Cancer Using the National Cancer Database.

Joseph Safdieh, Yi-Chun Lee, Andrew Wong, Anna Lee, Joseph P Weiner, David Schwartz, David Schreiber.   

Abstract

PURPOSE: The purpose of this study is to evaluate usage patterns and outcomes of women who underwent open hysterectomy (OH) versus robotic assisted-hysterectomy (RAH) for the treatment of endometrial cancer.
METHODS: Women with nonmetastatic endometrial adenocarcinoma diagnosed between 2010 and 2012, who either underwent an OH or RAH, were selected from the National Cancer Database. The χ, Fisher exact, or Mann-Whitney U tests were used where appropriate to compare outcomes between groups. Multivariable logistic regression was used to analyze for predictors for RAH and other outcome variables.
RESULTS: A total of 43,985 women were included in this study with a median age of 61 years. Of these, 23,872 (54.3%) underwent RAH and 20,113 (45.7%) underwent OH. The usage of RAH increased from 43.0% in 2010 to 63.8% in 2012 (P < 0.001). Women receiving RAH were more commonly found to have a Charlson comorbidity score of 0 to 1, lower pathologic stage, nonblack race, treatment at a comprehensive center, and had insurance other than Medicaid. Robotic-assisted hysterectomy was associated with a shorter inpatient stay, lower readmission rates, and lower 30- and 90-day mortality rates (P < 0.001 for all comparisons). There was a significant improvement in overall survival favoring RAH, 96.1% versus 94.0%, which persisted on multivariable logistic regression (P < 0.001).
CONCLUSIONS: In this large, hospital-based analysis, RAH was associated with decreased length of stay, lower readmission rates, and less perioperative mortality. However, socioeconomic status continues to remain a barrier to equal treatment allocation. Overall survival was improved with RAH, but the follow-up is limited, and this finding must be interpreted with caution.

Entities:  

Mesh:

Year:  2017        PMID: 29470186     DOI: 10.1097/IGC.0000000000001034

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


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