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Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group

BACKGROUND: The utilisation of robot-assisted radical cystectomy with intracorporeal reconstruction (iRARC) has increased in recent years. Little is known about the length of the learning curve (LC) for this procedure. OBJECTIVE: To study the length of the LC for iRARC in terms of 90-d major complic...

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Autores principales: Wijburg, Carl J., Hannink, Gerjon, Michels, Charlotte T.J., Weijerman, Philip C., Issa, Rami, Tay, Andrea, Decaestecker, Karel, Wiklund, Peter, Hosseini, Abolfazl, Sridhar, Ashwin, Kelly, John, d'Hondt, Frederiek, Mottrie, Alexandre, Klaver, Sjoerd, Edeling, Sebastian, Dell'Oglio, Paolo, Montorsi, Francesco, Rovers, Maroeska M., Witjes, J. Alfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068730/
https://www.ncbi.nlm.nih.gov/pubmed/35528784
http://dx.doi.org/10.1016/j.euros.2022.03.004
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author Wijburg, Carl J.
Hannink, Gerjon
Michels, Charlotte T.J.
Weijerman, Philip C.
Issa, Rami
Tay, Andrea
Decaestecker, Karel
Wiklund, Peter
Hosseini, Abolfazl
Sridhar, Ashwin
Kelly, John
d'Hondt, Frederiek
Mottrie, Alexandre
Klaver, Sjoerd
Edeling, Sebastian
Dell'Oglio, Paolo
Montorsi, Francesco
Rovers, Maroeska M.
Witjes, J. Alfred
author_facet Wijburg, Carl J.
Hannink, Gerjon
Michels, Charlotte T.J.
Weijerman, Philip C.
Issa, Rami
Tay, Andrea
Decaestecker, Karel
Wiklund, Peter
Hosseini, Abolfazl
Sridhar, Ashwin
Kelly, John
d'Hondt, Frederiek
Mottrie, Alexandre
Klaver, Sjoerd
Edeling, Sebastian
Dell'Oglio, Paolo
Montorsi, Francesco
Rovers, Maroeska M.
Witjes, J. Alfred
author_sort Wijburg, Carl J.
collection PubMed
description BACKGROUND: The utilisation of robot-assisted radical cystectomy with intracorporeal reconstruction (iRARC) has increased in recent years. Little is known about the length of the learning curve (LC) for this procedure. OBJECTIVE: To study the length of the LC for iRARC in terms of 90-d major complications (MC90; Clavien-Dindo grade ≥3), 90-d overall complications (OC90, Clavien-Dindo grades 1–5), operating time (OT), estimated blood loss (EBL), and length of hospital stay (LOS). DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective analysis of all consecutive iRARC cases from nine European high-volume hospitals with ≥100 cases. All patients had bladder cancer for which iRARC was performed, with an ileal conduit or neobladder as the urinary diversion. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Outcome parameters used as a proxy for LC length were the number of consecutive cases needed to reach a plateau level in two-piece mixed-effects models for MC90, OC90, OT, EBL, and LOS. RESULTS AND LIMITATIONS: A total of 2186 patients undergoing iRARC between 2003 and 2018were included. The plateau levels for MC90 and OC90 were reached after 137 cases (95% confidence interval [CI] 80–193) and 97 cases (95% CI 41–154), respectively. The mean MC90 rate at the plateau was 14% (95% CI 7–21%). The plateau level was reached after 75 cases (95% CI 65–86) for OT, 88 cases (95% CI 70–106) for EBL, and 198 cases (95% CI 130–266) for LOS. A major limitation of the study is the difference in the balance of urinary diversion types between centres. CONCLUSIONS: This multicentre retrospective analysis for the iRARC LC among nine European centres showed that 137 consecutive cases were needed to reach a stable MC90 rate. PATIENT SUMMARY: We carried out a multicentre analysis of the surgical learning curve for robot-assisted removal of the bladder and bladder reconstruction in patients with bladder cancer. We found that 137 consecutive cases were needed to reach a stable rate of serious complications.
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spelling pubmed-90687302022-05-05 Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group Wijburg, Carl J. Hannink, Gerjon Michels, Charlotte T.J. Weijerman, Philip C. Issa, Rami Tay, Andrea Decaestecker, Karel Wiklund, Peter Hosseini, Abolfazl Sridhar, Ashwin Kelly, John d'Hondt, Frederiek Mottrie, Alexandre Klaver, Sjoerd Edeling, Sebastian Dell'Oglio, Paolo Montorsi, Francesco Rovers, Maroeska M. Witjes, J. Alfred Eur Urol Open Sci Bladder Cancer BACKGROUND: The utilisation of robot-assisted radical cystectomy with intracorporeal reconstruction (iRARC) has increased in recent years. Little is known about the length of the learning curve (LC) for this procedure. OBJECTIVE: To study the length of the LC for iRARC in terms of 90-d major complications (MC90; Clavien-Dindo grade ≥3), 90-d overall complications (OC90, Clavien-Dindo grades 1–5), operating time (OT), estimated blood loss (EBL), and length of hospital stay (LOS). DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective analysis of all consecutive iRARC cases from nine European high-volume hospitals with ≥100 cases. All patients had bladder cancer for which iRARC was performed, with an ileal conduit or neobladder as the urinary diversion. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Outcome parameters used as a proxy for LC length were the number of consecutive cases needed to reach a plateau level in two-piece mixed-effects models for MC90, OC90, OT, EBL, and LOS. RESULTS AND LIMITATIONS: A total of 2186 patients undergoing iRARC between 2003 and 2018were included. The plateau levels for MC90 and OC90 were reached after 137 cases (95% confidence interval [CI] 80–193) and 97 cases (95% CI 41–154), respectively. The mean MC90 rate at the plateau was 14% (95% CI 7–21%). The plateau level was reached after 75 cases (95% CI 65–86) for OT, 88 cases (95% CI 70–106) for EBL, and 198 cases (95% CI 130–266) for LOS. A major limitation of the study is the difference in the balance of urinary diversion types between centres. CONCLUSIONS: This multicentre retrospective analysis for the iRARC LC among nine European centres showed that 137 consecutive cases were needed to reach a stable MC90 rate. PATIENT SUMMARY: We carried out a multicentre analysis of the surgical learning curve for robot-assisted removal of the bladder and bladder reconstruction in patients with bladder cancer. We found that 137 consecutive cases were needed to reach a stable rate of serious complications. Elsevier 2022-04-02 /pmc/articles/PMC9068730/ /pubmed/35528784 http://dx.doi.org/10.1016/j.euros.2022.03.004 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Bladder Cancer
Wijburg, Carl J.
Hannink, Gerjon
Michels, Charlotte T.J.
Weijerman, Philip C.
Issa, Rami
Tay, Andrea
Decaestecker, Karel
Wiklund, Peter
Hosseini, Abolfazl
Sridhar, Ashwin
Kelly, John
d'Hondt, Frederiek
Mottrie, Alexandre
Klaver, Sjoerd
Edeling, Sebastian
Dell'Oglio, Paolo
Montorsi, Francesco
Rovers, Maroeska M.
Witjes, J. Alfred
Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group
title Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group
title_full Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group
title_fullStr Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group
title_full_unstemmed Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group
title_short Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group
title_sort learning curve analysis for intracorporeal robot-assisted radical cystectomy: results from the eau robotic urology section scientific working group
topic Bladder Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068730/
https://www.ncbi.nlm.nih.gov/pubmed/35528784
http://dx.doi.org/10.1016/j.euros.2022.03.004
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