Evidence map›Paper›PMID 25618572›Full record

ReviewCurrent rheumatology reports2015

Giant cell arteritis and polymyalgia rheumatica: an update.

Miguel A González-Gay, Trinitario Pina

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 72 citations in OpenAlex.

  1. Trial
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  5. Article
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  9. Review
  10. Article
  11. Biologic Therapies for Giant Cell Arteritis.Biologics : targets & therapy · 2021
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Gastrointestinal aspects of vasculitides.Nature reviews. Gastroenterology & hepatology · 2017
    Review
  19. The Treatment of Giant Cell Arteritis.Current treatment options in neurology · 2017
    Review
  20. Giant cell arteritis: ophthalmic manifestations of a systemic disease.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2016
    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

2 authors at 1 institution in 1 country.

Miguel A González-GayEpidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, Rheumatology Division, Hospital Universitario Marqués de Valdecilla, IDIVAL, Avenida de Valdecilla, s/n, 39008, Santander, Spain, miguelaggay@hotmail.com.
Trinitario Pina
Instituto de Investigación Marqués de Valdecilla · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant cell arteritis (GCA) and polymyalgia rheumatica (PMR) are two closely related diseases in people aged 50 years and older, which are more frequently observed in Western countries. Despite being common entities, concern still exists about the epidemiology, pathogenesis, and diagnosis of both entities. New imaging techniques, such as 18 fluorodeoxyglucose-positron emission tomography, have proved to be useful in detecting large-vessel involvement in GCA. Corticosteroids are the cornerstone of the therapy in GCA and PMR. Relapses are frequent in these conditions. Unlike methotrexate and tumor necrosis factor-α antagonists, anti-interleukin-6 receptor therapy appears to be useful in patients with GCA and PMR who are refractory to corticosteroids. This review summarizes recent studies on GCA and PMR.

Indexed as

Giant Cell ArteritisGlucocorticoidsHumansPolymyalgia RheumaticaTreatment OutcomeGlucocorticoids

Identifiers

PMID25618572
OpenAlexW1970660819

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.