Evidence map›Paper›PMID 38343643›Full record

ArticleFrontiers in medicine2024

Diagnostic accuracy of OGUS, Southend halo score and halo count in giant cell arteritis.

Edoardo Conticini, Paolo Falsetti, Suhel Gabriele Al Khayyat, Silvia Grazzini, Caterina Baldi, Francesca Bellisai, Stefano Gentileschi, Marco Bardelli, Claudia Fabiani, Luca Cantarini and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Edoardo ConticiniRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Paolo FalsettiRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Suhel Gabriele Al KhayyatRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Silvia Grazzini *Rheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Caterina BaldiRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Francesca BellisaiRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Stefano GentileschiRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Marco BardelliRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Claudia FabianiOphthalmology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Luca CantariniRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Bhaskar DasguptaRheumatology Department, Mid and South Essex University Hospitals NHS Foundation Trust, Southend University Hospital, Essex, United Kingdom.
Bruno FredianiRheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
University of Siena · ITSouthend University Hospital NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Ultrasound has a paramount role in the diagnostic assessment of giant cell arteritis (GCA); Southend halo score (HS), halo count (HC), and OMERACT GCA Ultrasonography Score (OGUS) are the first quantitative scores proposed in this setting. The aim of this study was therefore to assess the diagnostic accuracy of these scores in a real-life scenario, as well as to evaluate their optimal cutoff, also with respect to disease extent, sex, and age. Methods: We retrospectively collected clinical, serological, and US findings of all patients referred for the first time to our vasculitis clinic in the suspicion of GCA. Results: A total of 79 patients were included, and a definite diagnosis of GCA was made in 43 patients. For OGUS, the ROC curve showed an optimal cut point of 0.81 (sensitivity 79.07% and specificity 97.22%). For HC and HS, the optimal cutoff values were > 1.5 (sensitivity 76.7% and specificity 97.2%) and > 14.5 (sensitivity 74.4% and specificity 97.2%), respectively. No relevant differences were assessed when patients were stratified according to disease extent, age, and sex. Compression sign (CS) was positive in 34 of 38 patients with cranial GCA and negative in all controls and LV-GCA. Conclusion: All three scores display good sensitivity and excellent specificity, although the cutoff was slightly different than proposed. In particular, for OGUS, a threshold of 0.81 could be employed for diagnostic purposes, although it was developed solely for monitoring. Due to its high sensitivity and specificity, CS should be always assessed in all patients referred with a suspicion of cranial GCA.

Indexed as

diagnosisgiant cell arteritisHorton arteritisultrasonographyvasculitis

Identifiers

PMID38343643
PMCPMC10853365
OpenAlexW4391261216

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.