Literature DB >> 26188114

Laparoscopic and robot-assisted hysterectomy for uterine cancer: a comparison of costs and complications.

Andrew Zakhari1, Nicholas Czuzoj-Shulman2, Andrea R Spence2, Walter H Gotlieb3, Haim A Abenhaim4.   

Abstract

OBJECTIVE: Increasingly, robotic surgery is being used for total hysterectomy, bilateral salpingo-oophorectomy, and lymph node dissection for uterine cancer. The purpose of this study was to compare the costs and complications among women undergoing robotic and laparoscopic hysterectomy for uterine cancer. STUDY
DESIGN: We carried out a cohort study using the Nationwide Inpatient Sample (NIS) database between 2008 and 2012 on all women diagnosed with uterine cancer, classifying women as either laparoscopically or robotically treated, excluding laparotomies or vaginal approaches. Logistic regression analyses were used to evaluate the adjusted effect of surgical approach on complication rates.
RESULTS: There were 10,347 women who underwent hysterectomies for uterine cancer either laparoscopically (39%) or robotically (61%). The rate of robotic surgery consistently increased over the 5 year period. Women undergoing robotic surgery had more comorbid conditions (diabetes, hypertension, cardiovascular disease, renal disease, obesity or morbid obesity, and pulmonary disease). In adjusted analyses, women undergoing robotic surgery were more likely to have a lymph node dissection (73.01% vs 66.04%; P < .0001) and an admission lasting <3 days (86.01% vs 82.5%; P < .0001) compared with those undergoing laparoscopic surgery. The composite endpoint of any complication was similar between both cohorts (20.56% robotic vs 21.00% laparoscopy). In overall and subset analyses, robotic surgery was more costly, with median charges of $38,161.00 compared with $31,476.00 in those undergoing laparoscopic surgery (P < .0001).
CONCLUSION: Despite the considerably greater burden of comorbidities in those undergoing robotic surgery compared with laparoscopy, the former have shorter hospital admissions, a greater rate of lymph node dissection, and similar postoperative morbidity and mortality, albeit at greater total cost.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cancer; laparoscopy; robotic surgery; uterine cancer

Mesh:

Year:  2015        PMID: 26188114     DOI: 10.1016/j.ajog.2015.07.004

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  6 in total

1.  Robotic Surgery: An Example of When Newer Is Not Always Better but Clearly More Expensive.

Authors:  Gail R Wilensky
Journal:  Milbank Q       Date:  2016-03       Impact factor: 4.911

Review 2.  Influence of steep Trendelenburg position on postoperative complications: a systematic review and meta-analysis.

Authors:  Satoshi Katayama; Keiichiro Mori; Benjamin Pradere; Takafumi Yanagisawa; Hadi Mostafaei; Fahad Quhal; Reza Sari Motlagh; Ekaterina Laukhtina; Nico C Grossmann; Pawel Rajwa; Abdulmajeed Aydh; Frederik König; Pierre I Karakiewicz; Motoo Araki; Yasutomo Nasu; Shahrokh F Shariat
Journal:  J Robot Surg       Date:  2021-12-31

Review 3.  A network meta-analysis of comparison of operative time and complications of laparoscopy, laparotomy, and laparoscopic-assisted vaginal hysterectomy for endometrial carcinoma.

Authors:  Ya-Ru Wang; Hui-Fang Lu; Hui-Can Huo; Chang-Ping Qu; Gui-Xia Sun; Shi-Qing Shao
Journal:  Medicine (Baltimore)       Date:  2018-04       Impact factor: 1.889

4.  Patient-reported satisfaction after robot-assisted hysterectomy among Korean patients with benign uterine disease.

Authors:  Suyeon Park; Young-Eun Lee; Seong-Sik Cho; Sung-Ho Park; Sung Taek Park
Journal:  Obstet Gynecol Sci       Date:  2018-10-11

5.  Changes in route of hysterectomy in Norway since introduction of robotic approach.

Authors:  M L Johanson; M Lieng
Journal:  Facts Views Vis Obgyn       Date:  2021-03-31

Review 6.  A comparison of operative outcomes between standard and robotic laparoscopic surgery for endometrial cancer: A systematic review and meta-analysis.

Authors:  Thomas Ind; Alex Laios; Matthew Hacking; Marielle Nobbenhuis
Journal:  Int J Med Robot       Date:  2017-08-01       Impact factor: 2.547

  6 in total

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