Literature DB >> 30357525

Robotic surgery trends in general surgical oncology from the National Inpatient Sample.

Camille L Stewart1, Philip H G Ituarte2, Kurt A Melstrom2, Susanne G Warner2, Laleh G Melstrom2, Lily L Lai2, Yuman Fong2, Yanghee Woo2.   

Abstract

BACKGROUND: Robotic surgery is offered at most major medical institutions. The extent of its use within general surgical oncology, however, is poorly understood. We hypothesized that robotic surgery adoption in surgical oncology is increasing annually, that is occurring in all surgical sites, and all regions of the US. STUDY
DESIGN: We identified patients with site-specific malignancies treated with surgical resection from the National Inpatient Sample 2010-2014 databases. Operations were considered robotic if any ICD-9-CM robotic procedure code was used.
RESULTS: We identified 147,259 patients representing the following sites: esophageal (3%), stomach (5%), small bowel (5%), pancreas (7%), liver (5%), and colorectal (75%). Most operations were open (71%), followed by laparoscopic (26%), and robotic (3%). In 2010, only 1.1% of operations were robotic; over the 5-year study period, there was a 5.0-fold increase in robotic surgery, compared to 1.1-fold increase in laparoscopy and 1.2-fold decrease in open surgery (< 0.001). These trends were observed for all surgical sites and in all regions of the US, they were strongest for esophageal and colorectal operations, and in the Northeast. Adjusting for age and comorbidities, odds of having a robotic operation increased annually (5.6 times more likely by 2014), with similar length of stay (6.9 ± 6.5 vs 7.0 ± 6.5, p = 0.52) and rate of complications (OR 0.91, 95% CI 0.83-1.01, p = 0.08) compared to laparoscopy.
CONCLUSIONS: Robotic surgery as a platform for minimally invasive surgery is increasing over time for oncologic operations. The growing use of robotic surgery will affect surgical oncology practice in the future, warranting further study of its impact on cost, outcomes, and surgical training.

Entities:  

Keywords:  Minimally invasive surgery; National Inpatient Sample; Robotic surgery

Mesh:

Year:  2018        PMID: 30357525     DOI: 10.1007/s00464-018-6554-9

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  35 in total

1.  Comparative analysis of learning curve in complex robot-assisted and laparoscopic liver resection.

Authors:  Mikhail Efanov; Ruslan Alikhanov; Victor Tsvirkun; Ivan Kazakov; Olga Melekhina; Pavel Kim; Andrey Vankovich; Konstantin Grendal; Stanislav Berelavichus; Igor Khatkov
Journal:  HPB (Oxford)       Date:  2017-06-07       Impact factor: 3.647

2.  The learning curve in robotic distal pancreatectomy.

Authors:  Niccolò Napoli; Emanuele F Kauffmann; Vittorio Grazio Perrone; Mario Miccoli; Stefania Brozzetti; Ugo Boggi
Journal:  Updates Surg       Date:  2015-05-20

3.  A randomized controlled trial comparing open vs laparoscopy-assisted distal gastrectomy for the treatment of early gastric cancer: an interim report.

Authors:  Seigo Kitano; Norio Shiraishi; Kyuzo Fujii; Kazuhiro Yasuda; Masafumi Inomata; Yosuke Adachi
Journal:  Surgery       Date:  2002-01       Impact factor: 3.982

4.  Comparison of postural ergonomics between laparoscopic and robotic sacrocolpopexy: a pilot study.

Authors:  Megan E Tarr; Sam J Brancato; Jacqueline A Cunkelman; Anthony Polcari; Benjamin Nutter; Kimberly Kenton
Journal:  J Minim Invasive Gynecol       Date:  2014-10-12       Impact factor: 4.137

5.  A comparison of surgeon's postural muscle activity during robotic-assisted and laparoscopic rectal surgery.

Authors:  Grace P Y Szeto; Jensen T C Poon; Wai-Lun Law
Journal:  J Robot Surg       Date:  2012-08-09

6.  Robotic-Assisted Surgery: Balancing Evidence and Implementation.

Authors:  Jason D Wright
Journal:  JAMA       Date:  2017-10-24       Impact factor: 56.272

7.  Robot-assisted Versus Laparoscopic Surgery for Rectal Cancer: A Phase II Open Label Prospective Randomized Controlled Trial.

Authors:  Min Jung Kim; Sung Chan Park; Ji Won Park; Hee Jin Chang; Dae Yong Kim; Byung-Ho Nam; Dae Kyung Sohn; Jae Hwan Oh
Journal:  Ann Surg       Date:  2018-02       Impact factor: 12.969

8.  Learning curve for robotic-assisted laparoscopic rectal cancer surgery.

Authors:  Rosa M Jiménez-Rodríguez; José Manuel Díaz-Pavón; Fernando de la Portilla de Juan; Emilio Prendes-Sillero; Hisnard Cadet Dussort; Javier Padillo
Journal:  Int J Colorectal Dis       Date:  2012-12-15       Impact factor: 2.571

9.  Robotic Versus Laparoscopic Right Colectomy for Colon Cancer: Analysis of the Initial Simultaneous Learning Curve of a Surgical Fellow.

Authors:  Nicola de'Angelis; Vincenzo Lizzi; Daniel Azoulay; Francesco Brunetti
Journal:  J Laparoendosc Adv Surg Tech A       Date:  2016-07-25       Impact factor: 1.878

10.  Laparoscopic versus open surgery for rectal cancer (COLOR II): short-term outcomes of a randomised, phase 3 trial.

Authors:  Martijn Hgm van der Pas; Eva Haglind; Miguel A Cuesta; Alois Fürst; Antonio M Lacy; Wim Cj Hop; Hendrik Jaap Bonjer
Journal:  Lancet Oncol       Date:  2013-02-06       Impact factor: 41.316

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  10 in total

1.  Supervised Autonomous Electrosurgery via Biocompatible Near-Infrared Tissue Tracking Techniques.

Authors:  H Saeidi; J Ge; M Kam; J D Opfermann; S Leonard; A S Joshi; A Krieger
Journal:  IEEE Trans Med Robot Bionics       Date:  2019-10-28

Review 2.  Robotic surgery for rectal cancer as a platform to build on: review of current evidence.

Authors:  Pietro Achilli; Fabian Grass; David W Larson
Journal:  Surg Today       Date:  2020-05-04       Impact factor: 2.549

3.  National Trends in Robotic Pancreas Surgery.

Authors:  Richard S Hoehn; Ibrahim Nassour; Mohamed A Adam; Sharon Winters; Alessandro Paniccia; Amer H Zureikat
Journal:  J Gastrointest Surg       Date:  2020-04-20       Impact factor: 3.452

Review 4.  Advanced Robotic Surgery: Liver, Pancreas, and Esophagus - The State of the Art?

Authors:  Pasquale Scognamiglio; Björn-Ole Stüben; Asmus Heumann; Jun Li; Jakob R Izbicki; Daniel Perez; Matthias Reeh
Journal:  Visc Med       Date:  2021-11-12

5.  Implementation of robotic rectal cancer surgery: a cross-sectional nationwide study.

Authors:  L J X Giesen; J W T Dekker; M Verseveld; R M P H Crolla; G P van der Schelling; C Verhoef; P B Olthof
Journal:  Surg Endosc       Date:  2022-08-30       Impact factor: 3.453

6.  Comparing the accuracy of the da Vinci Xi and da Vinci Si for image guidance and automation.

Authors:  James M Ferguson; Bryn Pitt; Alan Kuntz; Josephine Granna; Nicholas L Kavoussi; Naren Nimmagadda; Eric J Barth; Stanley Duke Herrell; Robert J Webster
Journal:  Int J Med Robot       Date:  2020-09-01       Impact factor: 2.483

7.  The evolution of the general surgery resident operative case experience in the era of robotic surgery.

Authors:  Nnenna S Nwaelugo; Matthew I Goldblatt; Jon C Gould; Rana M Higgins
Journal:  Surg Endosc       Date:  2022-01-03       Impact factor: 3.453

8.  The role of telemedicine in the postoperative home monitoring after robotic colo-rectal cancer surgery: a preliminary single center experience.

Authors:  Raffaello Mancini; Michelangelo Bartolo; Giada Pattaro; Luigi Ioni; Tullio Picconi; Graziano Pernazza
Journal:  Updates Surg       Date:  2021-07-27

9.  Who is hurting? A prospective study of surgeon ergonomics.

Authors:  Camille Stewart; Mustafa Raoof; Yuman Fong; Thanh Dellinger; Susanne Warner
Journal:  Surg Endosc       Date:  2021-02-01       Impact factor: 4.584

10.  Functional Reconstruction of Forehead and Midface Deficits Using the Endoscopic Technique and Bio-Absorbable Implants.

Authors:  Jared Johnson; Houmehr Hojjat; Michael T Chung; Khashayar Arianpour; Hani Rayess; Robert Eckert; Michael Carron
Journal:  Plast Surg (Oakv)       Date:  2020-02-18       Impact factor: 0.947

  10 in total

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