Evidence map›Paper›PMID 35015125›Full record

SynthesisEuropean radiology2022

Validity of high resolution magnetic resonance imaging in detecting giant cell arteritis: a meta-analysis.

Ke-Jia Zhang, Ming-Xi Li, Peng Zhang, Hai-Qiang Qin, Zhen-Ni Guo, Yi Yang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
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

6 authors at 3 institutions in 1 country.

Ke-Jia ZhangChina National Comprehensive Stroke Center, Department of Neurology, the First Hospital of Jilin University, Changchun, Jilin, China.
Ming-Xi LiChina National Comprehensive Stroke Center, Department of Neurology, the First Hospital of Jilin University, Changchun, Jilin, China.
Peng ZhangChina National Comprehensive Stroke Center, Department of Neurology, the First Hospital of Jilin University, Changchun, Jilin, China.
Hai-Qiang QinDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhen-Ni Guo *China National Comprehensive Stroke Center, Department of Neurology, the First Hospital of Jilin University, Changchun, Jilin, China. zhen1ni2@jlu.edu.cn.
Yi Yang *China National Comprehensive Stroke Center, Department of Neurology, the First Hospital of Jilin University, Changchun, Jilin, China. yang_yi@jlu.edu.cn.
First Hospital of Jilin University · CNJilin University · CNBeijing Tian Tan Hospital · CN

Funding

technology department of jilin province 20180623052TCthe Jilin Provincial Key Laboratory 20190901005JCThe National Key R&D Program of China 2016YFC1301600
6 · The paper itself

Abstract

objectivesThis study was designed to evaluate the performance of high-resolution magnetic resonance imaging (HR-MRI) in detecting giant cell arteritis (GCA), evaluate superficial extracranial artery and other MRI abnormalities, and compare three-dimensional (3D) and two-dimensional (2D) techniques.

methodsPubMed, Web of Science, and Cochrane Library were screened up to March 7, 2021, and further selection was performed according to the eligibility criteria. Quality Assessment of Diagnostic Accuracy Studies-2 was used for quality assessment, and heterogeneity assessment and statistical calculations were also performed.

resultsIn total, 1851 records were retrieved from online databases, and 15 studies were finally included. Regarding the performance of HR-MRI, the superficial extracranial artery had 75% sensitivity and 89% specificity, respectively, with an area under the receiver operating characteristic curve (AUC) of 0.91. Positive and negative post-test possibilities were 86% and 20%, respectively, with clinical diagnosis as reference. When referenced with temporal artery biopsy, the sensitivity was 91%, specificity was 78%, AUC was 0.92, and positive and negative post-test possibilities were 78% and 10%, respectively. 3D HR-MRI and 2D HR-MRI had 70% and 72% sensitivity, respectively, and 91% and 84% specificity, respectively.

conclusionsHR-MRI is a valuable imaging modality for GCA diagnosis. It provided high accuracy in the diagnosis of GCA and played a potential role in identifying GCA-related ischemic optic neuropathy. 3D HR-MRI had better specificity than 2D HR-MRI. KEY POINTS: HR-MRI helps clinicians to diagnose GCA. Superficial extracranial arteries and other MRI abnormalities can be assessed with HR-MRI. HR-MRI can help in assessing GCA-related optic neuropathy.

Indexed as

Giant Cell ArteritisBiopsyHumansMagnetic Resonance ImagingOptic NerveSensitivity and SpecificityTemporal ArteriesGiant cell arteritisMagnetic resonance imagingOptic neuropathy, Ischemic

Identifiers

PMID35015125
OpenAlexW4205120010

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.