Literature DB >> 34480591

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

Nikolaos Grivas1, Ioannis Zachos2, Georgios Georgiadis1, Markos Karavitakis1, Vasilis Tzortzis2, Charalampos Mamoulakis3.   

Abstract

PURPOSE: To perform a systematic search and review of the available literature on the learning curves (LCs) in laparoscopic and robot-assisted prostate surgery.
METHODS: Medline was systematically searched from 1946 to January 2021 to detect all studies in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement, reporting on the LC in laparoscopic radical prostatectomy (LRP), laparoscopic simple prostatectomy (LSP), robot-assisted radical prostatectomy (RARP) and robot-assisted simple prostatectomy (RSP).
RESULTS: In total, 47 studies were included for qualitative synthesis evaluating a single technique (LRP, RARP, LSP, RSP; 45 studies) or two techniques (LRP and RARP; 2 studies). All studies evaluated outcomes on real patients. RARP was the most widely investigated technique (30 studies), followed by LRP (17 studies), LSP (1 study), and RSP (1 study). In LRP, the reported LC based on operative time; estimated blood loss; length of hospital stay; positive surgical margin; biochemical recurrence; overall complication rate; and urinary continence rate ranged 40-250, 80-250, 58-200, 50-350, 110-350, 55-250, 70-350 cases, respectively. In RARP, the corresponding ranges were 16-300, 20-300, 25-200, 50-400, 40-100, 20-250, 30-200, while LC for potency rates was 80-90 cases.
CONCLUSIONS: The definition of LC for laparoscopic and robot-assisted prostate surgery is not well defined with various metrics used among studies. Nevertheless, LCs appear to be steep and continuous. Implementation of training programs/standardization of the techniques is necessary to improve outcomes.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Laparoscopy; Learning curve; Prostate; Robotic surgical procedures; Systematic review

Mesh:

Year:  2021        PMID: 34480591     DOI: 10.1007/s00345-021-03815-1

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   3.661


  62 in total

1.  Cancer-related outcome and learning curve in retropubic radical prostatectomy: "if you need an operation, the most important step is to choose the right surgeon".

Authors:  Walter Artibani; Giacomo Novara
Journal:  Eur Urol       Date:  2008-02-08       Impact factor: 20.096

2.  Classification and detection of errors in minimally invasive surgery.

Authors:  Marie Claire Rassweiler; Charalambos Mamoulakis; Hannes Gotz Kenngott; Jens Rassweiler; Jean de la Rosette; Maria Pilar Laguna
Journal:  J Endourol       Date:  2011-08-30       Impact factor: 2.942

3.  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

4.  Hospital and surgeon procedure volume as predictors of outcome following rectal cancer resection.

Authors:  Deborah Schrag; Katherine S Panageas; Elyn Riedel; Laura D Cramer; Jose G Guillem; Peter B Bach; Colin B Begg
Journal:  Ann Surg       Date:  2002-11       Impact factor: 12.969

5.  The influence of hospital volume on survival after resection for lung cancer.

Authors:  P B Bach; L D Cramer; D Schrag; R J Downey; S E Gelfand; C B Begg
Journal:  N Engl J Med       Date:  2001-07-19       Impact factor: 91.245

6.  Impact of learning curve in laparoscopic radical prostatectomy on margin status: prospective study of first 100 procedures performed by one surgeon.

Authors:  Hervé Baumert; Gaëlle Fromont; Juliana Adorno Rosa; Declan Cahill; Xavier Cathelineau; Guy Vallancien
Journal:  J Endourol       Date:  2004-03       Impact factor: 2.942

Review 7.  Learning curves for urological procedures: a systematic review.

Authors:  Hamid Abboudi; Mohammed Shamim Khan; Khurshid A Guru; Saied Froghi; Gunter de Win; Hendrik Van Poppel; Prokar Dasgupta; Kamran Ahmed
Journal:  BJU Int       Date:  2013-10-24       Impact factor: 5.588

Review 8.  Learning curve using robotic surgery.

Authors:  Sanjeev Kaul; Nikhil L Shah; Mani Menon
Journal:  Curr Urol Rep       Date:  2006-03       Impact factor: 2.862

Review 9.  Systematic review of learning curves in robot-assisted surgery.

Authors:  N A Soomro; D A Hashimoto; A J Porteous; C J A Ridley; W J Marsh; R Ditto; S Roy
Journal:  BJS Open       Date:  2019-11-29

10.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

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  2 in total

Review 1.  Impact of Prostate Size on the Outcomes of Radical Prostatectomy: A Systematic Review and Meta-Analysis.

Authors:  Omar Fahmy; Nabil A Alhakamy; Osama A A Ahmed; Mohd Ghani Khairul-Asri
Journal:  Cancers (Basel)       Date:  2021-12-05       Impact factor: 6.639

2.  Prognostic Impact of Lymphatic Invasion in Patients with High-Risk Prostate Cancer after Robot-Assisted Radical Prostatectomy and Extended Lymph Node Dissection: A Single-Institution Prospective Cohort Study.

Authors:  Shimpei Yamashita; Satoshi Muraoka; Takahito Wakamiya; Kazuro Kikkawa; Yasuo Kohjimoto; Isao Hara
Journal:  Cancers (Basel)       Date:  2022-07-17       Impact factor: 6.575

  2 in total

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