Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review
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...
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Veröffentlicht in: | World journal of urology 2022-04, Vol.40 (4), p.929-949 |
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creator | Grivas, Nikolaos Zachos, Ioannis Georgiadis, Georgios Karavitakis, Markos Tzortzis, Vasilis Mamoulakis, Charalampos |
description | 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. |
doi_str_mv | 10.1007/s00345-021-03815-1 |
format | Article |
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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.</description><identifier>ISSN: 1433-8726</identifier><identifier>ISSN: 0724-4983</identifier><identifier>EISSN: 1433-8726</identifier><identifier>DOI: 10.1007/s00345-021-03815-1</identifier><identifier>PMID: 34480591</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Cancer surgery ; Humans ; Invited Review ; Laparoscopy ; Laparoscopy - methods ; Learning Curve ; Male ; Medicine ; Medicine & Public Health ; Nephrology ; Oncology ; Prostate ; Prostate - surgery ; Prostate cancer ; Prostatectomy ; Prostatectomy - methods ; Prostatic Neoplasms - surgery ; Robotic surgery ; Robotic Surgical Procedures - methods ; Robotics ; Robots ; Standardization ; Surgery ; Treatment Outcome ; Urological surgery ; Urology</subject><ispartof>World journal of urology, 2022-04, Vol.40 (4), p.929-949</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-88aa3582687944e909a1c8e71d04cc965e1820c493ae09fde4d0b4aeab9f1c3a3</citedby><cites>FETCH-LOGICAL-c441t-88aa3582687944e909a1c8e71d04cc965e1820c493ae09fde4d0b4aeab9f1c3a3</cites><orcidid>0000-0002-8662-1275</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00345-021-03815-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00345-021-03815-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34480591$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Grivas, Nikolaos</creatorcontrib><creatorcontrib>Zachos, Ioannis</creatorcontrib><creatorcontrib>Georgiadis, Georgios</creatorcontrib><creatorcontrib>Karavitakis, Markos</creatorcontrib><creatorcontrib>Tzortzis, Vasilis</creatorcontrib><creatorcontrib>Mamoulakis, Charalampos</creatorcontrib><title>Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review</title><title>World journal of urology</title><addtitle>World J Urol</addtitle><addtitle>World J Urol</addtitle><description>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.</description><subject>Cancer surgery</subject><subject>Humans</subject><subject>Invited Review</subject><subject>Laparoscopy</subject><subject>Laparoscopy - methods</subject><subject>Learning Curve</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nephrology</subject><subject>Oncology</subject><subject>Prostate</subject><subject>Prostate - surgery</subject><subject>Prostate cancer</subject><subject>Prostatectomy</subject><subject>Prostatectomy - methods</subject><subject>Prostatic Neoplasms - surgery</subject><subject>Robotic surgery</subject><subject>Robotic Surgical Procedures - methods</subject><subject>Robotics</subject><subject>Robots</subject><subject>Standardization</subject><subject>Surgery</subject><subject>Treatment Outcome</subject><subject>Urological surgery</subject><subject>Urology</subject><issn>1433-8726</issn><issn>0724-4983</issn><issn>1433-8726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kc1u2zAQhIkiQZ06fYEcCgK59KJmKVIS2Vtg9A8wkEtyJtbU2pVhSw5XcuC3DxM5TZFDTiQw3wyXO0JcKPimAKorBtCmyCBXGWirikx9EGfKaJ3ZKi9P_rtPxCfmNYCqSig-iok2xkLh1JkIc8LYNu1KhiHuiWXTyg3uMHYcul0TJLa1jN2i6zNkbrinWu6S2GNPkoe4onj4LlHyIUlb7JODU2L4Oxpp39DDuThd4obp8_GcirufP25nv7P5za8_s-t5FoxRfWYtoi5sXtrKGUMOHKpgqVI1mBBcWZCyOQTjNBK4ZU2mhoVBwoVbqqBRT8XXMTcNeD8Q937bcKDNBlvqBvZ5UTpdGeVsQi_foOtuiG2azuelsWXudFklKh-pkH7MkZZ-F5stxoNX4J8q8GMFPlXgnyvwKpm-HKOHxZbqf5aXnSdAjwAnqU0LfH37ndhHk7uSEg</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Grivas, Nikolaos</creator><creator>Zachos, Ioannis</creator><creator>Georgiadis, Georgios</creator><creator>Karavitakis, Markos</creator><creator>Tzortzis, Vasilis</creator><creator>Mamoulakis, Charalampos</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8662-1275</orcidid></search><sort><creationdate>20220401</creationdate><title>Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review</title><author>Grivas, Nikolaos ; Zachos, Ioannis ; Georgiadis, Georgios ; Karavitakis, Markos ; Tzortzis, Vasilis ; Mamoulakis, Charalampos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-88aa3582687944e909a1c8e71d04cc965e1820c493ae09fde4d0b4aeab9f1c3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cancer surgery</topic><topic>Humans</topic><topic>Invited Review</topic><topic>Laparoscopy</topic><topic>Laparoscopy - methods</topic><topic>Learning Curve</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nephrology</topic><topic>Oncology</topic><topic>Prostate</topic><topic>Prostate - surgery</topic><topic>Prostate cancer</topic><topic>Prostatectomy</topic><topic>Prostatectomy - methods</topic><topic>Prostatic Neoplasms - surgery</topic><topic>Robotic surgery</topic><topic>Robotic Surgical Procedures - methods</topic><topic>Robotics</topic><topic>Robots</topic><topic>Standardization</topic><topic>Surgery</topic><topic>Treatment Outcome</topic><topic>Urological surgery</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grivas, Nikolaos</creatorcontrib><creatorcontrib>Zachos, Ioannis</creatorcontrib><creatorcontrib>Georgiadis, Georgios</creatorcontrib><creatorcontrib>Karavitakis, Markos</creatorcontrib><creatorcontrib>Tzortzis, Vasilis</creatorcontrib><creatorcontrib>Mamoulakis, Charalampos</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>World journal of urology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grivas, Nikolaos</au><au>Zachos, Ioannis</au><au>Georgiadis, Georgios</au><au>Karavitakis, Markos</au><au>Tzortzis, Vasilis</au><au>Mamoulakis, Charalampos</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review</atitle><jtitle>World journal of urology</jtitle><stitle>World J Urol</stitle><addtitle>World J Urol</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>40</volume><issue>4</issue><spage>929</spage><epage>949</epage><pages>929-949</pages><issn>1433-8726</issn><issn>0724-4983</issn><eissn>1433-8726</eissn><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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34480591</pmid><doi>10.1007/s00345-021-03815-1</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-8662-1275</orcidid></addata></record> |
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subjects | Cancer surgery Humans Invited Review Laparoscopy Laparoscopy - methods Learning Curve Male Medicine Medicine & Public Health Nephrology Oncology Prostate Prostate - surgery Prostate cancer Prostatectomy Prostatectomy - methods Prostatic Neoplasms - surgery Robotic surgery Robotic Surgical Procedures - methods Robotics Robots Standardization Surgery Treatment Outcome Urological surgery Urology |
title | Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review |
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