A comprehensive comparison and evaluation of surgical techniques for anterior shoulder instability: a Bayesian network meta-analysis.

Bankart Instability Latarjet dislocation glenoid bone loss recurrence shoulder

Journal

Journal of shoulder and elbow surgery
ISSN: 1532-6500
Titre abrégé: J Shoulder Elbow Surg
Pays: United States
ID NLM: 9206499

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 05 12 2022
revised: 27 06 2023
accepted: 02 07 2023
pubmed: 5 8 2023
medline: 5 8 2023
entrez: 4 8 2023
Statut: ppublish

Résumé

Anterior shoulder instability is a common clinical problem; however, conflicting evidence exists regarding optimal treatment algorithms. We perform a comparative analysis of stabilization techniques used for recurrent anterior shoulder instability to identify the one associated with the lowest rate of recurrent instability. We additionally explore how glenoid bone loss and osseus lesions affect recurrence rates. PubMed, MEDLINE, Embase, and Cochrane databases were searched for clinical studies comparing surgical techniques for anterior shoulder instability. Two team members independently assessed all potential studies for eligibility and extracted data. Each included study underwent a risk of bias assessment using the Cochrane risk of bias summary tool. The primary outcome of interest was the rate of recurrent instability, which underwent a Bayesian network meta-analysis. Additional analyses were performed relating to the degree of glenoid bone loss and the presence of osseous lesions. Of 2699 studies screened, 52 studies with 4209 patients were included. Patients who underwent open Latarjet demonstrated the overall lowest rate of recurrent instability [log odds ratio (L The open Latarjet has the overall lowest recurrent instability and significantly lower compared to arthroscopic Bankart repair in the setting of increasing glenoid bone loss. Bone loss between 0% and 10% results in similar outcomes across all procedures.

Sections du résumé

BACKGROUND BACKGROUND
Anterior shoulder instability is a common clinical problem; however, conflicting evidence exists regarding optimal treatment algorithms. We perform a comparative analysis of stabilization techniques used for recurrent anterior shoulder instability to identify the one associated with the lowest rate of recurrent instability. We additionally explore how glenoid bone loss and osseus lesions affect recurrence rates.
METHODS METHODS
PubMed, MEDLINE, Embase, and Cochrane databases were searched for clinical studies comparing surgical techniques for anterior shoulder instability. Two team members independently assessed all potential studies for eligibility and extracted data. Each included study underwent a risk of bias assessment using the Cochrane risk of bias summary tool. The primary outcome of interest was the rate of recurrent instability, which underwent a Bayesian network meta-analysis. Additional analyses were performed relating to the degree of glenoid bone loss and the presence of osseous lesions.
RESULTS RESULTS
Of 2699 studies screened, 52 studies with 4209 patients were included. Patients who underwent open Latarjet demonstrated the overall lowest rate of recurrent instability [log odds ratio (L
CONCLUSION CONCLUSIONS
The open Latarjet has the overall lowest recurrent instability and significantly lower compared to arthroscopic Bankart repair in the setting of increasing glenoid bone loss. Bone loss between 0% and 10% results in similar outcomes across all procedures.

Identifiants

pubmed: 37541334
pii: S1058-2746(23)00572-4
doi: 10.1016/j.jse.2023.07.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e531-e547

Informations de copyright

Copyright © 2023 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

Auteurs

Saad Masud (S)

Wayne State University School of Medicine, Detroit, MI, USA.

David Momtaz (D)

Long School of Medicine, San Antonio, TX, USA.

Marcel Betsch (M)

Department of Orthopaedics and Trauma Surgery, University Hospital Mannheim, Medical Faculty of the University Heidelberg, Mannheim, BW, Germany.

Filippo Migliorini (F)

Department of Orthopaedics and Trauma Surgery, University Hospital RWTH Aachen, Aachen, NW, Germany.

Abdullah Ghali (A)

Department of Orthopaedics, Baylor College of Medicine, Houston, TX, USA.

Alexander Popa (A)

Queen's University, Kingston, ON, Canada.

Kyle Gouveia (K)

Division of Orthopaedic Surgery, McMaster University, Hamilton, ON, Canada.

Timothy Leroux (T)

Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.

Ryan Degen (R)

Division of Orthopaedic Surgery, University of Western Ontario, London, ON, Canada.

Moin Khan (M)

Division of Orthopaedic Surgery, McMaster University, Hamilton, ON, Canada. Electronic address: khanmm2@mcmaster.ca.

Classifications MeSH