Literature DB >> 20089107

Robot-assisted radical prostatectomy: learning rate analysis as an objective measure of the acquisition of surgical skill.

Jesse Sammon1, Andrew Perry, Lisa Beaule, Thomas Kinkead, David Clark, Moritz Hansen.   

Abstract

OBJECTIVE: To adapt an industrial definition of learning-curve analysis to surgical learning, and elucidate the rate at which experienced open surgeons acquire skills specific to robot-assisted radical prostatectomy (RARP) at a community-based medical centre. PATIENTS, SUBJECTS AND METHODS: The total procedure time (TPT) of the first 75 RARPs, performed by three surgeons experienced with retropubic RP, was analysed to determine the point at which their learning rate stabilised. Operative characteristics were compared before and after this point to isolate the plateau of learning rate as a mark of acquiring surgical skill. The operative characteristics examined were TPT, estimated blood loss (EBL), bladder neck contractures (BNC), positive margins (PM) and length of hospital stay (LOS).
RESULTS: The mean rate of TPT decrease, for procedures 1-75, was 13.4% per doubling of RARPs performed. After the first 25 procedures the TPT decreased at a rate of 1.8% per doubling, not significantly different from 0 (P > 0.05). There was no significant difference between procedures 1-25 and 26-75 in rates of EBL, BNC and PM. There was a significant change for all surgeons in TPT, with a mean of 303.1 min (RARPs 1-25) vs 213.6 min (26-75) (P < 0.001), and LOS, of 2.1 days (1-25) vs 1.4 days (26-75) (P < 0.001).
CONCLUSIONS: An industrial definition of learning-curve analysis can be adapted to provide an objective measure of learning RARP. The average learning rate for RARP was found to plateau by the 25th procedure. Also, the learning rate plateau can serve as an objective measure of the acquisition of surgical skill.

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Year:  2010        PMID: 20089107     DOI: 10.1111/j.1464-410X.2009.09187.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  7 in total

1.  A systematic review of the learning curve in robotic surgery: range and heterogeneity.

Authors:  I Kassite; T Bejan-Angoulvant; H Lardy; A Binet
Journal:  Surg Endosc       Date:  2018-09-28       Impact factor: 4.584

Review 2.  Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review.

Authors:  Nikolaos Grivas; Ioannis Zachos; Georgios Georgiadis; Markos Karavitakis; Vasilis Tzortzis; Charalampos Mamoulakis
Journal:  World J Urol       Date:  2021-09-04       Impact factor: 3.661

3.  Comparative study of complete and partial omentectomy in radical subtotal gastrectomy for early gastric cancer.

Authors:  Min-Chan Kim; Ki-Han Kim; Ghap Joong Jung; David W Rattner
Journal:  Yonsei Med J       Date:  2011-11       Impact factor: 2.759

Review 4.  Training in robotics: The learning curve and contemporary concepts in training.

Authors:  Christian Bach; Arkadiusz Miernik; Martin Schönthaler
Journal:  Arab J Urol       Date:  2013-12-05

5.  Assessment of learning curves in complex surgical interventions: a consecutive case-series study.

Authors:  Olympia Papachristofi; David Jenkins; Linda D Sharples
Journal:  Trials       Date:  2016-06-01       Impact factor: 2.279

6.  Learning curve of digital intraoral scanning - an in vivo study.

Authors:  Ivett Róth; Alexandra Czigola; Gellért Levente Joós-Kovács; Magdolna Dalos; Péter Hermann; Judit Borbély
Journal:  BMC Oral Health       Date:  2020-10-19       Impact factor: 2.757

7.  Surgical operative time increases the risk of deep venous thrombosis and pulmonary embolism in robotic prostatectomy.

Authors:  E Jason Abel; Kelvin Wong; Martins Sado; Glen E Leverson; Sutchin R Patel; Tracy M Downs; David F Jarrard
Journal:  JSLS       Date:  2014 Apr-Jun       Impact factor: 2.172

  7 in total

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