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Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center

BACKGROUND: Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previou...

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Autores principales: Morelli, Luca, Furbetta, Niccolò, Palmeri, Matteo, Guadagni, Simone, Di Franco, Gregorio, Gianardi, Desirée, Cervelli, Rosa, Lorenzoni, Valentina, Comandatore, Annalisa, Carpenito, Cristina, Di Candio, Giulio, Cuschieri, Alfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810244/
https://www.ncbi.nlm.nih.gov/pubmed/36596929
http://dx.doi.org/10.1007/s00464-022-09784-9
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author Morelli, Luca
Furbetta, Niccolò
Palmeri, Matteo
Guadagni, Simone
Di Franco, Gregorio
Gianardi, Desirée
Cervelli, Rosa
Lorenzoni, Valentina
Comandatore, Annalisa
Carpenito, Cristina
Di Candio, Giulio
Cuschieri, Alfred
author_facet Morelli, Luca
Furbetta, Niccolò
Palmeri, Matteo
Guadagni, Simone
Di Franco, Gregorio
Gianardi, Desirée
Cervelli, Rosa
Lorenzoni, Valentina
Comandatore, Annalisa
Carpenito, Cristina
Di Candio, Giulio
Cuschieri, Alfred
author_sort Morelli, Luca
collection PubMed
description BACKGROUND: Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. METHODS: Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. RESULTS: All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/m(2), while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. CONCLUSIONS: An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations.
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spelling pubmed-98102442023-01-04 Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center Morelli, Luca Furbetta, Niccolò Palmeri, Matteo Guadagni, Simone Di Franco, Gregorio Gianardi, Desirée Cervelli, Rosa Lorenzoni, Valentina Comandatore, Annalisa Carpenito, Cristina Di Candio, Giulio Cuschieri, Alfred Surg Endosc Original Article BACKGROUND: Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. METHODS: Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. RESULTS: All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/m(2), while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. CONCLUSIONS: An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. Springer US 2023-01-03 2023 /pmc/articles/PMC9810244/ /pubmed/36596929 http://dx.doi.org/10.1007/s00464-022-09784-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Morelli, Luca
Furbetta, Niccolò
Palmeri, Matteo
Guadagni, Simone
Di Franco, Gregorio
Gianardi, Desirée
Cervelli, Rosa
Lorenzoni, Valentina
Comandatore, Annalisa
Carpenito, Cristina
Di Candio, Giulio
Cuschieri, Alfred
Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
title Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
title_full Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
title_fullStr Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
title_full_unstemmed Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
title_short Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
title_sort initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810244/
https://www.ncbi.nlm.nih.gov/pubmed/36596929
http://dx.doi.org/10.1007/s00464-022-09784-9
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