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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9068730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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