Ileo-colic intra-corporeal anastomosis during robotic right colectomy: a systematic literature review and meta-analysis of different techniques.


Journal

International journal of colorectal disease
ISSN: 1432-1262
Titre abrégé: Int J Colorectal Dis
Pays: Germany
ID NLM: 8607899

Informations de publication

Date de publication:
Jun 2021
Historique:
accepted: 15 01 2021
pubmed: 25 1 2021
medline: 24 6 2021
entrez: 24 1 2021
Statut: ppublish

Résumé

Robotic assistance could increase the rate of ileo-colic intra-corporeal anastomosis (ICA) during robotic right colectomy (RRC). However, although robotic ICA can be accomplished with several different technical variants, it is not clear whether some of these technical details should be preferred. An evaluation of the possible advantage of one respect to another would be useful. We conducted a systematic review of literature on technical details of robotic ileo-colic ICA, from which we performed a meta-analysis of clinical outcomes. The extracted data allowed a comparative analysis regarding the outcome of overall complication (OC), bleeding rate (BR) and leakage rate (LR), between (1) mechanical anastomosis with robotic stapler, versus laparoscopic stapler, versus totally hand-sewn anastomosis and (2) closure of enterocolotomy with manual double layer, versus single layer, versus stapled. A total of 30 studies including 2066 patients were selected. Globally, the side-to-side, isoperistaltic anastomosis, realized with laparoscopic staplers, and double-layer closure for enterocolotomy, is the most common technique used. According to the meta-analysis, the use of robotic stapler was significantly associated with a reduction of the BR with respect to mechanical anastomosis with laparoscopic stapler or totally hand-sewn anastomosis. None of the other technical aspects significantly influenced the outcomes. ICA fashioning during RRC can be accomplished with several technical variants without evidence of a clear superiority of anyone of these techniques. Although the use of robotic staplers could be associated with some benefits, further studies are necessary to draw conclusions.

Identifiants

pubmed: 33486533
doi: 10.1007/s00384-021-03850-9
pii: 10.1007/s00384-021-03850-9
pmc: PMC8119253
doi:

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1097-1110

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Auteurs

Simone Guadagni (S)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Matteo Palmeri (M)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Matteo Bianchini (M)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Desirée Gianardi (D)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Niccolò Furbetta (N)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Fabrizio Minichilli (F)

Unit of Environmental Epidemiology and Disease Registries, Institute of Clinical Physiology, National Council of Research, Pisa, Italy.

Gregorio Di Franco (G)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Annalisa Comandatore (A)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Giulio Di Candio (G)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Luca Morelli (L)

General Surgery Unit, Department of Translational Research and new Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy. luca.morelli@unipi.it.
Endo-CAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy. luca.morelli@unipi.it.

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Classifications MeSH