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Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer
BACKGROUND: Although some studies have assessed the learning curve of robotic-assisted total mesorectal excision for rectal cancer, most studies included limited sample sizes, no study used postoperative complications as an independent variable to analyze the learning curve of robotic rectal surgery...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311896/ https://www.ncbi.nlm.nih.gov/pubmed/35898893 http://dx.doi.org/10.3389/fonc.2022.931426 |
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author | Tang, Bo Li, Tao Gao, Gengmei Shi, Jun Li, Taiyuan |
author_facet | Tang, Bo Li, Tao Gao, Gengmei Shi, Jun Li, Taiyuan |
author_sort | Tang, Bo |
collection | PubMed |
description | BACKGROUND: Although some studies have assessed the learning curve of robotic-assisted total mesorectal excision for rectal cancer, most studies included limited sample sizes, no study used postoperative complications as an independent variable to analyze the learning curve of robotic rectal surgery, and no study evaluated the influence of the learning curve on long-term oncologic outcomes. METHODS: Clinical data on consecutive patients who underwent robotic-assisted total mesorectal excision for rectal cancer by a single surgeon between January 2015 and December 2018 at the First Affiliated Hospital of Nanchang University were retrospectively collected. The cumulative sum (CUSUM) and risk-adjusted cumulative sum (RA-CUSUM) were used to visualize the learning curve of operation time and postoperative complications (CD ≥ grade II). Comparisons of clinical outcomes at different learning phases analyzed by RA-CUSUM were performed after propensity score matching. RESULTS: A total of 389 consecutive patients were included in the analysis. The numbers of patients needed to overcome the learning curves of operation time and postoperative complications of robotic-assisted laparoscopic surgery for rectal cancer were 34 and 36, respectively. The learning process was divided into two phases based on RA-CUSUM: the learning phase (1st-36th cases) and the mastery phase (37th-389th cases). Before matching, the mastery phase had more patients with older age, lower tumor location, and neoadjuvant therapy. After matching, the two phases exhibited similar characteristics. The operation time, intraoperative blood loss, postoperative hospital stay, and postoperative complications in the mastery phase were reduced compared with the learning phase, with a median follow-up of 35 months, and the long-term oncologic outcomes were not significantly different between the two phases. CONCLUSIONS: An experienced laparoscopic surgeon initially implements robotic-assisted total mesorectal excision for rectal cancer, surgical outcomes improved after 36 cases, and the learning curve seemingly did not have an obvious impact on long-term oncologic outcomes. |
format | Online Article Text |
id | pubmed-9311896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93118962022-07-26 Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer Tang, Bo Li, Tao Gao, Gengmei Shi, Jun Li, Taiyuan Front Oncol Oncology BACKGROUND: Although some studies have assessed the learning curve of robotic-assisted total mesorectal excision for rectal cancer, most studies included limited sample sizes, no study used postoperative complications as an independent variable to analyze the learning curve of robotic rectal surgery, and no study evaluated the influence of the learning curve on long-term oncologic outcomes. METHODS: Clinical data on consecutive patients who underwent robotic-assisted total mesorectal excision for rectal cancer by a single surgeon between January 2015 and December 2018 at the First Affiliated Hospital of Nanchang University were retrospectively collected. The cumulative sum (CUSUM) and risk-adjusted cumulative sum (RA-CUSUM) were used to visualize the learning curve of operation time and postoperative complications (CD ≥ grade II). Comparisons of clinical outcomes at different learning phases analyzed by RA-CUSUM were performed after propensity score matching. RESULTS: A total of 389 consecutive patients were included in the analysis. The numbers of patients needed to overcome the learning curves of operation time and postoperative complications of robotic-assisted laparoscopic surgery for rectal cancer were 34 and 36, respectively. The learning process was divided into two phases based on RA-CUSUM: the learning phase (1st-36th cases) and the mastery phase (37th-389th cases). Before matching, the mastery phase had more patients with older age, lower tumor location, and neoadjuvant therapy. After matching, the two phases exhibited similar characteristics. The operation time, intraoperative blood loss, postoperative hospital stay, and postoperative complications in the mastery phase were reduced compared with the learning phase, with a median follow-up of 35 months, and the long-term oncologic outcomes were not significantly different between the two phases. CONCLUSIONS: An experienced laparoscopic surgeon initially implements robotic-assisted total mesorectal excision for rectal cancer, surgical outcomes improved after 36 cases, and the learning curve seemingly did not have an obvious impact on long-term oncologic outcomes. Frontiers Media S.A. 2022-07-11 /pmc/articles/PMC9311896/ /pubmed/35898893 http://dx.doi.org/10.3389/fonc.2022.931426 Text en Copyright © 2022 Tang, Li, Gao, Shi and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Tang, Bo Li, Tao Gao, Gengmei Shi, Jun Li, Taiyuan Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer |
title | Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer |
title_full | Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer |
title_fullStr | Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer |
title_full_unstemmed | Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer |
title_short | Learning Curve of Robotic-Assisted Total Mesorectal Excision for Rectal Cancer |
title_sort | learning curve of robotic-assisted total mesorectal excision for rectal cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311896/ https://www.ncbi.nlm.nih.gov/pubmed/35898893 http://dx.doi.org/10.3389/fonc.2022.931426 |
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