Evidence map›Paper›PMID 32963662›Full record

ArticleRadiology case reports2020

Large vessel vasculitis and the rising role of FDG PET-CT: A case report and review of literature.

Dana AlNuaimi, Hidayath Ansari, Ranjith Menon, Reem AlKetbi, Anne George

Open access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Application progress of multiple imaging modalities in Takayasu arteritis.The international journal of cardiovascular imaging · 2021
    Review
  4. Article
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

5 authors at 2 institutions in 2 countries.

Dana AlNuaimiCleveland Clinic Abu Dhabi, AlMaryah Island Abu Dhabi, United Arab Emirates.
Hidayath AnsariCleveland Clinic Abu Dhabi, AlMaryah Island Abu Dhabi, United Arab Emirates.
Ranjith MenonCleveland Clinic Abu Dhabi, AlMaryah Island Abu Dhabi, United Arab Emirates.
Reem AlKetbiRashid Hospital Dubai Health Authority, Dubai, United Arab Emirates.
Anne GeorgeDartmouth College, Hanover, NH, USA.
Dartmouth College · USRashid Hospital · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant cell arteritis (GCA) is a rare form of large and medium vessel vasculitis affecting about 20 cases per 100,000 persons older than the age of 50 years. GCA results in inflammation and constriction of the temporal arteries, cranial arteries, the aorta, and its major branches. Patients often present with vague constitutional symptoms and fever of unknown origin. GCA is a medical emergency requiring prompt diagnosis and early treatment with glucocorticoids which is essential to avoid irreversible end organ damage such as loss of vision, stroke and aneurysm formation. We report a case of a 63-year-old male patient presenting to our healthcare facility with sudden loss of vision and an ischemic brain infarct to be finally diagnosed as a case of giant cell arteritis with positron emission tomography-computed tomography imaging used to evaluate the full extent of the involved vasculature. Diagnostic imaging with FDG positron emission tomography-computed tomography can play a crucial role in the diagnosis, evaluation of the full burden of the disease and follow up to the response of therapy.

Indexed as

Computed tomographyFDG Positron emission tomographyGiant cell arteritisLarge vessel vasculitisStandardized uptake valuesTakayasu's arteritis

Identifiers

PMID32963662
PMCPMC7490990
OpenAlexW3084383612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.