Learning Curve of Single-site Robotic Cholecystectomy: A Cumulative Sum Analysis.


Journal

Surgical laparoscopy, endoscopy & percutaneous techniques
ISSN: 1534-4908
Titre abrégé: Surg Laparosc Endosc Percutan Tech
Pays: United States
ID NLM: 100888751

Informations de publication

Date de publication:
01 Jun 2023
Historique:
received: 17 02 2023
accepted: 31 03 2023
medline: 5 6 2023
pubmed: 12 5 2023
entrez: 12 5 2023
Statut: epublish

Résumé

Minimally invasive surgery has significantly improved cosmesis and clinical outcomes after either laparoscopic or robotic cholecystectomy. In an effort to minimize the number of incisions in multiport procedures, single-site approaches have been developed. However, single-site robotic cholecystectomy (SSRC) can be technically challenging for novice surgeons. The goal of this study is to establish the learning curve (LC) of SSRC through an assessment of operative times and clinical outcomes. A retrospective analysis of patients undergoing SSRC over a period of 5 years was performed. Consecutive cholecystectomy cases were assessed based on the procedure setting (elective vs. emergent). Cumulative sum analysis were used to establish the LC through an evaluation of the skin-to-skin (STS) time and postoperative complications rate. Afterward, a direct comparison was performed between the established phases. This study included a total of 259 SSRCs with an overall mean STS time of 41.1 minutes. Elective cases took on average of 38.8 minutes, whereas emergent cases spanned over 60.5 minutes ( P= 0.005). The cumulative sum-LC was obtained by summing the differences between each procedure's STS time, revealing a quadratic best-fit line maximum and an inflection point between the early and late phases at case 91. A significant difference between STS time was seen between the early and late phases (53.8 vs. 30.0 min, P< 0.0001). There were no significant differences in terms of postoperative complications between the 2 phases. Incisional hernia rates were comparable between the 2 phases (early: 4.4% vs. late: 2.5%, P< 0.461). This is the largest study to assess the LC of SSRC through operative time and clinical outcomes. A steady decrease in STS time was observed during the completion of the first 91 consecutive cases.

Sections du résumé

BACKGROUND BACKGROUND
Minimally invasive surgery has significantly improved cosmesis and clinical outcomes after either laparoscopic or robotic cholecystectomy. In an effort to minimize the number of incisions in multiport procedures, single-site approaches have been developed. However, single-site robotic cholecystectomy (SSRC) can be technically challenging for novice surgeons. The goal of this study is to establish the learning curve (LC) of SSRC through an assessment of operative times and clinical outcomes.
MATERIALS AND METHODS METHODS
A retrospective analysis of patients undergoing SSRC over a period of 5 years was performed. Consecutive cholecystectomy cases were assessed based on the procedure setting (elective vs. emergent). Cumulative sum analysis were used to establish the LC through an evaluation of the skin-to-skin (STS) time and postoperative complications rate. Afterward, a direct comparison was performed between the established phases.
RESULTS RESULTS
This study included a total of 259 SSRCs with an overall mean STS time of 41.1 minutes. Elective cases took on average of 38.8 minutes, whereas emergent cases spanned over 60.5 minutes ( P= 0.005). The cumulative sum-LC was obtained by summing the differences between each procedure's STS time, revealing a quadratic best-fit line maximum and an inflection point between the early and late phases at case 91. A significant difference between STS time was seen between the early and late phases (53.8 vs. 30.0 min, P< 0.0001). There were no significant differences in terms of postoperative complications between the 2 phases. Incisional hernia rates were comparable between the 2 phases (early: 4.4% vs. late: 2.5%, P< 0.461).
CONCLUSIONS CONCLUSIONS
This is the largest study to assess the LC of SSRC through operative time and clinical outcomes. A steady decrease in STS time was observed during the completion of the first 91 consecutive cases.

Identifiants

pubmed: 37172003
doi: 10.1097/SLE.0000000000001178
pii: 00129689-202306000-00016
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

310-316

Informations de copyright

Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

O.Y.K. has received teaching course, grant funding, and/or consultancy fees from Intuitive Surgical, Bard, and W.L. Gore outside the submitted work. The remaining authors declare no conflicts of interest.

Références

Jones MW, Guay E, Deppen JG. Open cholecystectomy. StatPearls StatPearls Publishing Copyright © 2022. StatPearls Publishing LLC. 2022.
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Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240:205–213.
Slankamenac K, Graf R, Barkun J, et al. The comprehensive complication index: a novel continuous scale to measure surgical morbidity. Ann Surg. 2013;258:1–7.
Hall TC, Dennison AR, Bilku DK, et al. Single-incision laparoscopic cholecystectomy: a systematic review. Arch Surg. 2012;147:657–666.
Rogers CA, Reeves BC, Caputo M, et al. Control chart methods for monitoring cardiac surgical performance and their interpretation. J Thorac Cardiovasc Surg. 2004;128:811–819.
Kubat E, Hansen N, Nguyen H, et al. Urgent and elective robotic single-site cholecystectomy: analysis and learning curve of 150 consecutive cases. J Laparoendosc Adv Surg Tech A. 2016;26:185–191.
Angus AA, Sahi SL, McIntosh BB. Learning curve and early clinical outcomes for a robotic surgery novice performing robotic single site cholecystectomy. Int J Med Robot. 2014;10:203–207.
Dughayli M, Shimunov S, Johnson S, et al. Single-site robotic cholecystectomy: comparison of clinical outcome and the learning curves in relation to surgeon experience in a community teaching hospital. BMC Surg. 2018;18:39.
Bibi S, Rahnemai-Azar AA, Coralic J, et al. Single-site robotic cholecystectomy: the timeline of progress. World J Surg. 2015;39:2386–2391.
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doi: 10.4293/jsls.2020.00082
Balaphas A, Buchs NC, Naiken SP, et al. Incisional hernia after robotic single-site cholecystectomy: a pilot study. Hernia. 2017;21:697–703.
Ricciardiello M, Grottola T, Panaccio P, et al. Outcome after single-site robotic cholecystectomy: an initial single center’s experience. Asian J Endosc Surg. 2021;14:496–503.
Hagen ME, Balaphas A, Podetta M, et al. Robotic single-site versus multiport laparoscopic cholecystectomy: a case-matched analysis of short- and long-term costs. Surg Endosc. 2018;32:1550–1555.
Sun N, Zhang J, Zhang C, et al. Single-site robotic cholecystectomy versus multi-port laparoscopic cholecystectomy: a systematic review and meta-analysis. Am J Surg. 2018;216:1205–1211.

Auteurs

Omar Y Kudsi (OY)

Department of Surgery, Good Samaritan Medical Center, Brockton.
Tufts University School of Medicine.

Georges Kaoukabani (G)

Department of Surgery, Good Samaritan Medical Center, Brockton.

Alexander Friedman (A)

Department of Surgery, Tufts Medical Center, Boston.

Yurie Sekigami (Y)

Department of Surgery, Tufts Medical Center, Boston.

Naseem Bou-Ayash (N)

Department of Surgery, Tufts Medical Center, Boston.

Jenna Bahadir (J)

Department of Surgery, Good Samaritan Medical Center, Brockton.

Allison S Crawford (AS)

Department of Surgery, University of Massachusetts Medical School, Worcester, MA.

Fahri Gokcal (F)

Department of Surgery, Good Samaritan Medical Center, Brockton.

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