Learning curve for laparoscopic cholecystectomy has not been defined: A systematic review.

education laparoscopic cholecystectomy laparoscopy learning curve training

Journal

ANZ journal of surgery
ISSN: 1445-2197
Titre abrégé: ANZ J Surg
Pays: Australia
ID NLM: 101086634

Informations de publication

Date de publication:
09 2021
Historique:
revised: 05 06 2021
received: 20 04 2021
accepted: 06 06 2021
pubmed: 29 6 2021
medline: 18 9 2021
entrez: 28 6 2021
Statut: ppublish

Résumé

Laparoscopic cholecystectomy is one of the most performed surgeries worldwide but its learning curve is still unclear. A systematic review was conducted according to the 2009 Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Two independent reviewers searched the literature in a systematic manner through online databases, including Medline, Scopus, Embase, and Google Scholar. Human studies investigating the learning curve of laparoscopic cholecystectomy were included. The Newcastle-Ottawa scale for cohort studies and the GRADE scale were used for the quality assessment of the selected articles. Nine cohort studies published between 1991 and 2020 were included. All studies showed a great heterogeneity among the considered variables. Seven articles (77.7%) assessed intraoperative variables only, without considering patient's characteristics, operator's experience, and grade of gallbladder inflammation. Only five articles (55%) provided a precise cut-off value to see proficiency in the learning curve, ranging from 13 to 200 laparoscopic cholecystectomies. The lack of clear guidelines when evaluating the learning curve in surgery, probably contributed to the divergent data and heterogeneous results among the studies. The development of guidelines for the investigation and reporting of a surgical learning curve would be helpful to obtain more objective and reliable data especially for common operation such as laparoscopic cholecystectomy.

Sections du résumé

BACKGROUND
Laparoscopic cholecystectomy is one of the most performed surgeries worldwide but its learning curve is still unclear.
METHODS
A systematic review was conducted according to the 2009 Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Two independent reviewers searched the literature in a systematic manner through online databases, including Medline, Scopus, Embase, and Google Scholar. Human studies investigating the learning curve of laparoscopic cholecystectomy were included. The Newcastle-Ottawa scale for cohort studies and the GRADE scale were used for the quality assessment of the selected articles.
RESULTS
Nine cohort studies published between 1991 and 2020 were included. All studies showed a great heterogeneity among the considered variables. Seven articles (77.7%) assessed intraoperative variables only, without considering patient's characteristics, operator's experience, and grade of gallbladder inflammation. Only five articles (55%) provided a precise cut-off value to see proficiency in the learning curve, ranging from 13 to 200 laparoscopic cholecystectomies.
CONCLUSIONS
The lack of clear guidelines when evaluating the learning curve in surgery, probably contributed to the divergent data and heterogeneous results among the studies. The development of guidelines for the investigation and reporting of a surgical learning curve would be helpful to obtain more objective and reliable data especially for common operation such as laparoscopic cholecystectomy.

Identifiants

pubmed: 34180567
doi: 10.1111/ans.17021
pmc: PMC8518700
doi:

Types de publication

Journal Article Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

E554-E560

Informations de copyright

© 2021 The Authors. ANZ Journal of Surgery published by John Wiley & Sons Australia, Ltd on behalf of Royal Australasian College of Surgeons.

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Auteurs

Elisa Reitano (E)

Division of General Surgery, Department of Translational Medicine, Maggiore della Carità Hospital, University of Eastern Piedmont, Novara, Italy.

Nicola de'Angelis (N)

Department of Minimally Invasive and Robotic Surgery, "F. Miulli" Regional General Hospital, Acquaviva delle Fonti (BA), Italy.

Elena Schembari (E)

Department of Biomedical and Biotechnological sciences, University of Catania, Catania, Italy.

Maria Clotilde Carrà (MC)

Department of Odontology, Rothschild University Hospital, Paris, France.
University Paris Diderot, Paris, France.

Elisa Francone (E)

Division of General Surgery, Department of Health Science, Maggiore della Carità Hospital, University of Eastern Piedmont, Novara, Italy.

Sergio Gentilli (S)

Division of General Surgery, Department of Health Science, Maggiore della Carità Hospital, University of Eastern Piedmont, Novara, Italy.

Gaetano La Greca (G)

Department of Biomedical and Biotechnological sciences, University of Catania, Catania, Italy.

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Classifications MeSH