Evidence map›Paper›PMID 37396146›Full record

ArticleCureus2023

Takayasu Arteritis: A Difficult Diagnosis in a Patient With an Extensive Cardiovascular History.

Carlos Peña, Niketa Kalara, Pallavi Velagapudi, Fernando Poli

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Carlos PeñaInternal Medicine, Mount Sinai Medical Center, Miami Beach, USA.
Niketa KalaraInternal Medicine, Mount Sinai Medical Center, Miami Beach, USA.
Pallavi VelagapudiInternal Medicine, Mount Sinai Medical Center, Miami Beach, USA.
Fernando PoliInternal Medicine, Mount Sinai Medical Center, Miami Beach, USA.
Mount Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large vessel vasculitides, such as Takayasu arteritis (TAK), are rare inflammatory conditions primarily affecting the aorta and its major branches. Its nonspecific symptoms and potential resemblance to atherosclerotic disease often pose diagnostic challenges. We present a case of a 57-year-old male with a history of extensive cardiovascular disease, initially attributed to atherosclerosis, resulting in several interventions, such as catheterization and major cardiac surgery, which didn't help improve his symptoms. Further evaluation revealed diffuse wall thickening of the aorta and its roots, as well as labs that suggested elevated inflammatory markers, comprehensive review of his chart and previous admissions, revealed that he had a well-documented aortitis for which he underwent a biopsy, which at the time was unrevealing. Furthermore, as he had significant aortic aneurysmal dilation, a thoracic cardiovascular surgeon remitted him to the rheumatology clinic, where he was placed on a prednisone taper and methotrexate regimen. Unfortunately, he redeveloped symptoms, and plans were made to transition to a tumor necrosis alpha (TNF-alpha) inhibitor. Our case highlights the importance of an accurate diagnosis and the prompt initiation of appropriate treatment in challenging cases of large vessel vasculitides. This case also underscores the need for heightened clinical awareness and interdisciplinary collaboration to ensure optimal patient care.

Indexed as

anginal chest paincoronary artery bypass grafting(cabg)large vessel vasculitislarge vessel vasculitis and gcatakayasu disease

Identifiers

PMID37396146
PMCPMC10314794
OpenAlexW4382798135

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.