Evidence map›Paper›PMID 31357946›Full record

ReviewBMC geriatrics2019

Giant cell arteritis: is the clinical spectrum of the disease changing?

Miguel Á González-Gay, Miguel Ortego-Jurado, Liliana Ercole, Norberto Ortego-Centeno

Abstract readReview
In one paragraph

Review in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

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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.

Miguel Á González-GayDivision of Rheumatology and Epidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Marqués de Valdecilla, 39011, Santander, Spain. miguelaggay@hotmail.com.ORCID 0000-0002-7924-7406
Miguel Ortego-JuradoEmergency Health Services Agency-061 (EPES-061), Granada, Spain.
Liliana ErcoleMedical Department, Roche Pharma, Madrid, Spain.
Norberto Ortego-CentenoAutoimmune Diseases Unit, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria de Granada (IBS. GRANADA), Department of Internal Medicine, Professor of Medicine of the University of Granada, Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiant cell arteritis is a vasculitis of large and middle-sized arteries that affects patients aged over 50 years. It can show a typical clinical picture consisting of cranial manifestations but sometimes nonspecific symptoms and large-vessel involvement prevail. Prompt diagnosis and treatment is essential to avoid irreversible damage. DISCUSSION: There has been an increasing knowledge on the occurrence of the disease without the typical cranial symptoms and its close relationship and overlap with polymyalgia rheumatica, and this may contribute to reduce the number of underdiagnosed patients. Although temporal artery biopsy is still the gold-standard and temporal artery ultrasonography is being widely used, newer imaging techniques (FDG-PET/TAC, MRI, CT) can be of valuable help to identify giant cell arteritis, in particular in those cases with a predominance of extracranial large-vessel manifestations.

conclusionsGiant cell arteritis is a more heterogeneous condition than previously thought. Awareness of all the potential clinical manifestations and judicious use of diagnostic tests may be an aid to avoid delayed detection and consequently ominous complications.

Indexed as

AgedBiopsyFemaleGiant Cell ArteritisHumansMagnetic Resonance ImagingMaleMiddle AgedPolymyalgia RheumaticaPositron Emission Tomography Computed TomographyTemporal ArteriesFDG-PET/CTGiant-cell arteritisPolymyalgia rheumatica

Identifiers

PMID31357946
PMCPMC6664782

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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.