Literature DB >> 27215422

The Learning Curve in Robotic Pancreaticoduodenectomy.

N Napoli1, E F Kauffmann, M Palmeri, M Miccoli, F Costa, F Vistoli, G Amorese, Ugo Boggi.   

Abstract

BACKGROUND/
PURPOSE: Few data are available on the learning curve (LC) in robot-assisted pancreaticoduodenectomy (RAPD) and no study specifically addresses the LC of a single surgeon.
METHODS: The LC of a single surgeon in RAPD was determined using the cumulative sum method, based on operative time (OT). Data were extracted from a prospectively maintained database and analyzed retrospectively considering all events occurring within 90 days of index operation.
RESULTS: Seventy RAPD were analyzed. One operation was converted to open surgery (1.4%). One patient died within 30 days (1.4%) and one within 90 days (2.8%). Postoperative complications occurred in 53 patients (75.7%) and exceeded Clavien-Dindo grade IIIb in 7 patients (10%). OT dropped after 33 operations from a mean of 564 ± 101.7 min to a mean of 484.1 ± 77.9 min (p = 0.0005) and was associated to reduced incidence of delayed gastric emptying (72.7 vs. 48.7%; p = 0.039). The rate of hospital readmission improved after 40 operations from 20.0 (8 of 40) to 3.3% (1 of 30) (p = 0.04).
CONCLUSIONS: RAPD was safely feasible in selected patients. OT dropped after the first 33 operations and was associated with reduced rate of delayed gastric emptying. Readmission rate improved after 40 operations.
© 2016 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2016        PMID: 27215422     DOI: 10.1159/000445015

Source DB:  PubMed          Journal:  Dig Surg        ISSN: 0253-4886            Impact factor:   2.588


  38 in total

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Review 2.  Systematic review and meta-analysis of robotic versus open pancreaticoduodenectomy.

Authors:  Long Peng; Shengrong Lin; Yong Li; Weidong Xiao
Journal:  Surg Endosc       Date:  2016-12-07       Impact factor: 4.584

3.  The learning curve for a surgeon in robot-assisted laparoscopic pancreaticoduodenectomy: a retrospective study in a high-volume pancreatic center.

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Journal:  Surg Endosc       Date:  2018-11-27       Impact factor: 4.584

4.  A propensity score-matched analysis of robotic versus open pancreatoduodenectomy for pancreatic cancer based on margin status.

Authors:  Emanuele F Kauffmann; Niccolò Napoli; Francesca Menonna; Sara Iacopi; Carlo Lombardo; Juri Bernardini; Gabriella Amorese; Andrea Cacciato Insilla; Niccola Funel; Daniela Campani; Carla Cappelli; Davide Caramella; Ugo Boggi
Journal:  Surg Endosc       Date:  2018-06-25       Impact factor: 4.584

5.  First experience with robotic pancreatoduodenectomy in Singapore.

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Review 6.  Robotic pancreatoduodenectomy with vascular resection.

Authors:  Emanuele F Kauffmann; Niccolò Napoli; Francesca Menonna; Fabio Vistoli; Gabriella Amorese; Daniela Campani; Luca Emanuele Pollina; Niccola Funel; Carla Cappelli; Davide Caramella; Ugo Boggi
Journal:  Langenbecks Arch Surg       Date:  2016-08-24       Impact factor: 3.445

7.  The surgical outcomes of robot-assisted laparoscopic pancreaticoduodenectomy versus laparoscopic pancreaticoduodenectomy for periampullary neoplasms: a comparative study of a single center.

Authors:  Rong Liu; Tao Zhang; Zhi-Ming Zhao; Xiang-Long Tan; Guo-Dong Zhao; Xuan Zhang; Yong Xu
Journal:  Surg Endosc       Date:  2016-09-08       Impact factor: 4.584

Review 8.  International consensus statement on robotic pancreatic surgery.

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Journal:  Hepatobiliary Surg Nutr       Date:  2019-08       Impact factor: 7.293

9.  Resection or repair of large peripancreatic arteries during robotic pancreatectomy.

Authors:  Emanuele F Kauffmann; Niccolò Napoli; Concetta Cacace; Francesca Menonna; Fabio Vistoli; Gabriella Amorese; Ugo Boggi
Journal:  Updates Surg       Date:  2020-02-18

Review 10.  Recent Advances in Pancreatic Cancer Surgery.

Authors:  Laura Maggino; Charles M Vollmer
Journal:  Curr Treat Options Gastroenterol       Date:  2017-12
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