Towards a Standardization of Learning Curve Assessment in Minimally Invasive Liver Surgery.


Journal

Annals of surgery
ISSN: 1528-1140
Titre abrégé: Ann Surg
Pays: United States
ID NLM: 0372354

Informations de publication

Date de publication:
26 Jun 2024
Historique:
medline: 26 6 2024
pubmed: 26 6 2024
entrez: 26 6 2024
Statut: aheadofprint

Résumé

The aim was to analyze the learning curves of minimal invasive liver surgery(MILS) and propose a standardized reporting. MILS offers benefits compared to open resections. For a safe introduction along the learning curve, formal training is recommended. However, definitions of learning curves and methods to assess it lack standardization. A systematic review of PubMed, Web of Science, and CENTRAL databases identified studies on learning curves in MILS. The primary outcome was the number needed to overcome the learning curve. Secondary outcomes included endpoints defining learning curves, and characterization of different learning phases(competency, proficiency and mastery). 60 articles with 12'241 patients and 102 learning curve analyses were included. The laparoscopic and robotic approach was evaluated in 71 and 18 analyses and both approaches combined in 13 analyses. Sixty-one analyses (60%) based the learning curve on statistical calculations. The most often used parameters to define learning curves were operative time (n=64), blood loss (n=54), conversion (n=42) and postoperative complications (n=38). Overall competency, proficiency and mastery were reached after 34 (IQR 19-56), 50 (IQR 24-74), 58 (IQR 24-100) procedures respectively. Intraoperative parameters improved earlier (operative time: competency to proficiency to mastery: -13%, 2%; blood loss: competency to proficiency to mastery: -33%, 0%; conversion rate (competency to proficiency to mastery; -21%, -29%), whereas postoperative complications improved later (competency to proficiency to mastery: -25%, -41%). This review summarizes the highest evidence on learning curves in MILS taking into account different definitions and confounding factors. A standardized three-phase reporting of learning phases (competency, proficiency, mastery) is proposed and should be followed.

Sections du résumé

OBJECTIVE OBJECTIVE
The aim was to analyze the learning curves of minimal invasive liver surgery(MILS) and propose a standardized reporting.
SUMMARY BACKGROUND DATA BACKGROUND
MILS offers benefits compared to open resections. For a safe introduction along the learning curve, formal training is recommended. However, definitions of learning curves and methods to assess it lack standardization.
METHODS METHODS
A systematic review of PubMed, Web of Science, and CENTRAL databases identified studies on learning curves in MILS. The primary outcome was the number needed to overcome the learning curve. Secondary outcomes included endpoints defining learning curves, and characterization of different learning phases(competency, proficiency and mastery).
RESULTS RESULTS
60 articles with 12'241 patients and 102 learning curve analyses were included. The laparoscopic and robotic approach was evaluated in 71 and 18 analyses and both approaches combined in 13 analyses. Sixty-one analyses (60%) based the learning curve on statistical calculations. The most often used parameters to define learning curves were operative time (n=64), blood loss (n=54), conversion (n=42) and postoperative complications (n=38). Overall competency, proficiency and mastery were reached after 34 (IQR 19-56), 50 (IQR 24-74), 58 (IQR 24-100) procedures respectively. Intraoperative parameters improved earlier (operative time: competency to proficiency to mastery: -13%, 2%; blood loss: competency to proficiency to mastery: -33%, 0%; conversion rate (competency to proficiency to mastery; -21%, -29%), whereas postoperative complications improved later (competency to proficiency to mastery: -25%, -41%).
CONCLUSIONS CONCLUSIONS
This review summarizes the highest evidence on learning curves in MILS taking into account different definitions and confounding factors. A standardized three-phase reporting of learning phases (competency, proficiency, mastery) is proposed and should be followed.

Identifiants

pubmed: 38920042
doi: 10.1097/SLA.0000000000006417
pii: 00000658-990000000-00954
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

Compliance with Ethical Standards: Conflict of interest: The authors declare that they have no conflict of interest. Conflict of interest: The authors declare no conflict of interest. No grants and financial support were received for this study.

Auteurs

Christoph Kuemmerli (C)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral Surgery, University Hospital Basel, Switzerland.

Johannes M A Toti (JMA)

Department of Surgery, Regional Hospital of Bellinzona e Valli, Bellinzona, Switzerland.

Fabian Haak (F)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany.

Adrian T Billeter (AT)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral Surgery, University Hospital Basel, Switzerland.

Felix Nickel (F)

Department of General, Visceral and Thoracic Surgery, University Hospital of Hamburg, Hamburg, Germany.

Cristiano Guidetti (C)

Hepato-pancreato-biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy.

Martin Santibanes (M)

Department of Surgery, Division of HPB Surgery, Liver and Transplant Unit, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.

Luca Vigano (L)

Division of Hepatobiliary and General Surgery, Department of Surgery, Humanitas Clinical and Research Center - IRCCS, Rozzano, Italy.

Joël L Lavanchy (JL)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral Surgery, University Hospital Basel, Switzerland.

Otto Kollmar (O)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral Surgery, University Hospital Basel, Switzerland.

Daniel Seehofer (D)

Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany.

Mohammed Abu Hilal (M)

Department of Surgery, Poliambulanza Foundation Hospital, Brescia, Italy.

Fabrizio Di Benedetto (F)

Hepato-pancreato-biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy.

Pierre-Alain Clavien (PA)

Department of Visceral Surgery and Transplantation, University of Zurich, Zurich, Switzerland.

Philipp Dutkowski (P)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral Surgery, University Hospital Basel, Switzerland.

Beat P Müller (BP)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral Surgery, University Hospital Basel, Switzerland.

Philip C Müller (PC)

Department of Surgery, Clarunis - University Centre for Gastrointestinal and Hepatopancreatobiliary Diseases, Basel, Switzerland.
Department of Visceral Surgery, University Hospital Basel, Switzerland.

Classifications MeSH