Evidence map›Paper›PMID 33754114›Full record

ReviewCureus2021

Giant Cell Arteritis and Cardiac Comorbidity.

Magela Arias, Milad Heydari-Kamjani, Marc M Kesselman

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Role of temporal artery resection in Horton's arteritis (Review).Experimental and therapeutic medicine · 2021
    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

3 authors at 1 institution in 1 country.

Magela AriasOsteopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Davie, USA.
Milad Heydari-KamjaniOsteopathic Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Davie, USA.
Marc M KesselmanRheumatology, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Davie, USA.
Nova Southeastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant cell arteritis (GCA) is a large vessel vasculitis with a pathogenesis that involves two CD4 T-helper cell lineages, Th1 and Th17. The goal of GCA treatment is to achieve clinical remission and prevent complications, especially vision loss. Despite recent advances in treatment and diagnostic modalities for GCA, there continues to be a gap in the medical literature in addressing treatment and follow-up for patients with GCA after clinical remission is achieved. Of the most important issues to address in this patient population by rheumatologists and primary care physicians alike, is that of cardiovascular disease (CVD) risks in GCA patients associated with the vasculitis and its mainstay of treatment with high-dose glucocorticoids over a prolonged period of time. Physicians must be aware of the CVD events that have been observed in a higher proportion compared to the general population in GCA patients, including strokes, thoracic aortic aneurysms and dissections, myocardial infarctions, and peripheral vascular disease. This review will focus on the risk of CVD in GCA patients, with recommendations for management and follow-up.

Indexed as

cardiac comorbiditygiant cell arteritislarge-vessel vasculitis and gca

Identifiers

PMID33754114
PMCPMC7971721
OpenAlexW3133309281

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.