Editor's Choice - Comparison of the Reproducibility of Ultrasound Calliper Placement Methods in Abdominal Aortic Diameter Measurements: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies.

Abdominal aorta Abdominal aortic aneurysm Calliper placement Reproducibility of findings Systematic review Ultrasound imaging

Journal

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
ISSN: 1532-2165
Titre abrégé: Eur J Vasc Endovasc Surg
Pays: England
ID NLM: 9512728

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 29 09 2022
revised: 23 05 2023
accepted: 13 06 2023
medline: 19 6 2023
pubmed: 19 6 2023
entrez: 18 6 2023
Statut: ppublish

Résumé

To assess which ultrasound (US) method of maximum anteroposterior (AP) abdominal aortic diameter measurement can be considered most reproducible. MEDLINE, Scopus, and Web of Science were searched (PROSPERO ID: 276694). Eligible studies reported intra- and or interobserver agreement according to Bland-Altman analysis (mean ± standard deviation [SD]) for abdominal aortic diameter AP US evaluations with an outer to outer (OTO), inner to inner (ITI), and or leading edge to leading edge (LELE) calliper placement. The Preferred Reporting Items for a Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies statement was followed. The QUADAS-2 tool and QUADAS-C extension were used for risk of bias assessment and the GRADE framework to rate the certainty of evidence. Pooled estimates (fixed effects meta-analysis, after a test of homogeneity of means) for each US method were compared with pairwise one sided t tests. Sensitivity analyses (for studies published in 2010 or later) and meta-regression were also performed. 21 studies were included in the qualitative analysis. Twelve were eligible for quantitative analysis. Studies showed heterogeneity in the US model and transducer used, sex of participants, and observer professions, expertise, and training. Included studies shared a common mean for each US method (OTO: p = 1.0, ITI: p = 1.0, and LELE: p = 1.0). A pooled estimate of interobserver reproducibility for each US method was obtained, combining the mean ± SD (Bland-Altman analysis) from each study: OTO: 0.182 ± 0.440; ITI: 0.170 ± 0.554; and LELE: 0.437 ± 0.419. There were no statistically significant differences between the methods (OTO vs. ITI: p = .52, OTO vs. LELE: p = .069, ITI vs. LELE: p = .17). Considering studies published in 2010 and later, the pooled estimate for LELE was the smallest, without statistically significant differences between the methods. Despite the low risk of bias, the certainty of the evidence for both meta-analysed outcomes remained low. The interobserver reproducibility for OTO and ITI was 2.5 times smaller (indicating better reproducibility) than LELE; however, without statistically significant differences between the methods and low GRADE evidence certainty. Additional data are needed to validate these findings, while inherent differences between the methods need to be emphasised.

Identifiants

pubmed: 37331424
pii: S1078-5884(23)00455-0
doi: 10.1016/j.ejvs.2023.06.010
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

620-631

Informations de copyright

Copyright © 2023 European Society for Vascular Surgery. Published by Elsevier B.V. All rights reserved.

Auteurs

Daniele Bissacco (D)

Section of Vascular Surgery, Cardio Thoracic Vascular Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.

Tim J Mandigers (TJ)

Section of Vascular Surgery, Cardio Thoracic Vascular Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Vascular Surgery, University Medical Centre Utrecht, Utrecht, The Netherlands. Electronic address: mandigers.tim@gmail.com.

Laura Savaré (L)

Modelling and Scientific Computing (MOX), Department of Mathematics, Politecnico di Milano, Milan, Italy; Centre for Health Data Science (HDS), Human Technopole, Milan, Italy; Centre for Healthcare Research and Pharmacoepidemiology (CHRP), University of Milano-Bicocca, Milan, Italy.

Maurizio Domanin (M)

Section of Vascular Surgery, Cardio Thoracic Vascular Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.

Mario D'Oria (M)

Division of Vascular and Endovascular Surgery, Cardiovascular Department, University Hospital of Trieste, Trieste, Italy.

Francesca Ieva (F)

Modelling and Scientific Computing (MOX), Department of Mathematics, Politecnico di Milano, Milan, Italy; Centre for Health Data Science (HDS), Human Technopole, Milan, Italy; Centre for Healthcare Research and Pharmacoepidemiology (CHRP), University of Milano-Bicocca, Milan, Italy.

Joost A Van Herwaarden (JA)

Department of Vascular Surgery, University Medical Centre Utrecht, Utrecht, The Netherlands.

Kevin Mani (K)

Department of Surgical Sciences, Section of Vascular Surgery, Uppsala University, Uppsala, Sweden.

Anders Wanhainen (A)

Department of Surgical Sciences, Section of Vascular Surgery, Uppsala University, Uppsala, Sweden.

Santi Trimarchi (S)

Section of Vascular Surgery, Cardio Thoracic Vascular Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.

Classifications MeSH