Diagnostic performance of temporal artery ultrasound for the diagnosis of giant cell arteritis: a systematic review and meta-analysis of the literature.

Giant cell arteritis Likelihood ratios Sensitivity Specificity Systematic review Temporal artery biopsy Ultrasound

Journal

Autoimmunity reviews
ISSN: 1873-0183
Titre abrégé: Autoimmun Rev
Pays: Netherlands
ID NLM: 101128967

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 26 07 2018
accepted: 30 07 2018
pubmed: 9 11 2018
medline: 24 1 2019
entrez: 9 11 2018
Statut: ppublish

Résumé

Despite major recent advances in the therapeutic management of Giant cell arteritis (GCA), the diagnosis accuracy of temporal artery ultrasound remains controversial in this disease. We performed a systematic review to determine the sensitivity, specificity, and summary positive (LR+) and negative (LR-) likelihood ratios of temporal artery ultrasound for the diagnosis of GCA. For this, we searched EMBASE, MEDLINE and the Cochrane Database of Systematic Reviews without language restriction. Original articles reporting on diagnostic accuracy of temporal artery ultrasound compared to temporal artery biopsy, for the diagnosis of GCA, were selected. Sensitivity and specificity from each study were used to fit a bivariate diagnosis accuracy model. Of 1280 articles identified, 48 underwent full-text review, and 25 were included. Based on a total of 20 studies, the sensitivity and specificity of hypoechoic halo compared to positive temporal artery biopsy were respectively of 68% (95% CI: 57-78) and 81% (95%CI: 75-86). The summary mean positive and negative likelihood ratios were respectively of 3.64 (95%CI: 2.76-4.73) and 0.40 (0.28-0.52). Taking into account 11 studies reporting on the presence of any abnormal sign on temporal artery ultrasound yielded similar results with largely overlapping 95% confidence interval regions. This study provides the summary estimates of the diagnostic properties of temporal artery ultrasound compared to temporal artery biopsy, for the diagnosis of GCA. Those parameters allow the calculation of the post-test probability of GCA in a given patient, based on the results of temporal artery ultrasound and will help improving the diagnosis strategy for this common disease.

Identifiants

pubmed: 30408588
pii: S1568-9972(18)30261-1
doi: 10.1016/j.autrev.2018.07.012
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

56-61

Informations de copyright

Copyright © 2018. Published by Elsevier B.V.

Auteurs

Marina Rinagel (M)

Service de rhumatologie, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Centre National de Référence des Maladies Systémiques Autoimmunes Rares RESO, F-67000 Strasbourg, France.

Emmanuel Chatelus (E)

Service de rhumatologie, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Centre National de Référence des Maladies Systémiques Autoimmunes Rares RESO, F-67000 Strasbourg, France.

Sandrine Jousse-Joulin (S)

Department of Rheumatology, Cavale Blanche Hospital and Brest Occidentale University, Brest, France.

Jean Sibilia (J)

Service de rhumatologie, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Centre National de Référence des Maladies Systémiques Autoimmunes Rares RESO, F-67000 Strasbourg, France.

Jacques-Eric Gottenberg (JE)

Service de rhumatologie, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Centre National de Référence des Maladies Systémiques Autoimmunes Rares RESO, F-67000 Strasbourg, France.

François Chasset (F)

AP-HP, Service de Dermatologie et d'Allergologie, Hôpital Tenon, F-75020 Paris, Université Paris VI Pierre et Marie Curie, Sorbonnes Universités, France.

Laurent Arnaud (L)

Service de rhumatologie, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, Centre National de Référence des Maladies Systémiques Autoimmunes Rares RESO, F-67000 Strasbourg, France. Electronic address: Laurent.arnaud@chru-strasbourg.fr.

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