Evidence map›Paper›PMID 30120746›Full record

SynthesisJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2019

F-18 FDG PET for assessment of disease activity of large vessel vasculitis: A systematic review and meta-analysis.

Sang-Woo Lee, Seong-Jang Kim, Youngduk Seo, Shin Young Jeong, Byeong-Cheol Ahn, Jaetae Lee

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
4.4field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. ACR Appropriateness Criteria® Noncerebral Vasculitis.Journal of the American College of Radiology : JACR · 2021
    Guideline
  4. Pooled it
  5. Digital [European journal of nuclear medicine and molecular imaging · 2026
    Article
  6. Association of PET vascular activity score with Takayasu's arteritis angiographic progression.European journal of nuclear medicine and molecular imaging · 2025
    Observational
  7. Role and potential ofFrontiers in medicine · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT images: Initial analysis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Large vessel vasculitis: imaging standards ofJapanese journal of radiology · 2021
    Review
  17. Review
  18. Diagnostic Value ofJournal of clinical medicine · 2020
    Article
  19. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2019: Positron emission tomography, computed tomography and magnetic resonance.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  20. Nuclear cardiology in the information age.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sang-Woo LeeDepartment of Nuclear Medicine, School of Medicine, Kyungpook National University, Taegu, South Korea.
Seong-Jang KimDepartment of Nuclear Medicine, Pusan National University Yangsan Hospital, Yangsan, 50612, South Korea. growthkim@daum.net.
Youngduk SeoDepartment of Nuclear Medicine, Busan Seongso Hospital, Pusan, South Korea.
Shin Young JeongDepartment of Nuclear Medicine, School of Medicine, Kyungpook National University, Taegu, South Korea.
Byeong-Cheol AhnDepartment of Nuclear Medicine, School of Medicine, Kyungpook National University, Taegu, South Korea.
Jaetae LeeDepartment of Nuclear Medicine, School of Medicine, Kyungpook National University, Taegu, South Korea.
Kyungpook National University · KRPusan National University Yangsan Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to investigate the performance of F-18 fluorodeoxyglucose positron emission tomography (F-18 FDG PET) or positron emission tomography/computed tomography (PET/CT) for the assessment of disease activity in patients with large vessel vasculitis (LVV) through a meta-analysis.

methodsThe MEDLINE via PubMed and EMBASE were searched for the studies evaluating the performance of F-18 FDG PET or PET/CT in the assessment of disease activity in patients with LVV. Pooled sensitivity, specificity, diagnostic odds ratios (DORs), and summary receiver-operating characteristic (sROC) curve were estimated across the included studies. Possible publication bias was assessed by Deek's funnel plot asymmetry tests.

resultsA total of 439 PET images from 298 patients pooled from nine studies showed that the pooled sensitivity was 0.88 [95% confidence interval (CI) 0.79-0.93] without heterogeneity (χ

conclusionsF-18 FDG PET has a good performance for the detection of active disease status in patients with LVV. Revised criteria for the assessment of disease activity incorporated with F-18 FDG PET or PET/CT should be introduced and validated. Further studies are warranted to determine if PET-based treatment of LVV can improve outcomes.

Indexed as

Positron-Emission TomographyPositron Emission Tomography Computed TomographyFluorodeoxyglucose F18HumansRegression AnalysisReproducibility of ResultsROC CurveSensitivity and SpecificityVasculitisFluorodeoxyglucose F18disease activityF-18 fluorodeoxyglucoselarge vessel vasculitismeta-analysisPET

Identifiers

PMID30120746
OpenAlexW2885044244

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.