Evidence map›Paper›PMID 36631159›Full record

ArticleRMD open2023

Metabolic features and glucocorticoid-induced comorbidities in patients with giant cell arteritis and polymyalgia rheumatica in a Dutch and Danish cohort.

Idil Esen, Suzanne Arends, Berit Dalsgaard Nielsen, Philip Therkildsen, Ib Hansen, Anna van 't Ende, Peter Heeringa, Annemieke Boots, Ellen Hauge, Elisabeth Brouwer and 1 more

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

5 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

11 authors at 2 institutions in 2 countries.

Idil EsenDepartment of Rheumatology and Clinical Immunology, University Medical Center Groningen, Groningen, The Netherlands.
Suzanne ArendsDepartment of Rheumatology and Clinical Immunology, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-4422-7640
Berit Dalsgaard NielsenDepartment of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Philip TherkildsenDepartment of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Ib HansenDepartment of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Anna van 't EndeDepartment of Rheumatology and Clinical Immunology, University Medical Center Groningen, Groningen, The Netherlands.
Peter HeeringaDepartment of Pathology and Medical Biology, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-8684-763X
Annemieke BootsDepartment of Rheumatology and Clinical Immunology, University Medical Center Groningen, Groningen, The Netherlands.
Ellen HaugeDepartment of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Elisabeth BrouwerDepartment of Rheumatology and Clinical Immunology, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-4809-0653
Yannick van SleenDepartment of Rheumatology and Clinical Immunology, University Medical Center Groningen, Groningen, The Netherlands y.van.sleen@umcg.nl.ORCID 0000-0002-7382-8322
University Medical Center Groningen · NLAarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGiant cell arteritis (GCA) and polymyalgia rheumatica (PMR) are age-associated inflammatory diseases that frequently overlap. Both diseases require long-term treatment with glucocorticoids (GCs), often associated with comorbidities. Previous population-based cohort studies reported that an unhealthier metabolic profile might prevent the development of GCA. Here, we report metabolic features before start of treatment and during treatment in patients with GCA and PMR.

methodsIn the Dutch GCA/PMR/SENEX (GPS) cohort, we analysed metabolic features and prevalence of comorbidities (type 2 diabetes, hypercholesterolaemia, hypertension, obesity and cataract) in treatment-naïve patients with GCA (n=50) and PMR (n=42), and compared those with the population-based Lifelines cohort (n=91). To compare our findings in the GPS cohort, we included data from patients with GCA (n=52) and PMR (n=25) from the Aarhus cohort. Laboratory measurements, comorbidities and GC use were recorded for up to 5 years in the GPS cohort.

resultsGlycated haemoglobin levels tended to be higher in treatment-naïve patients with GCA, whereas high-density lipoprotein, low-density lipoprotein and cholesterol levels were lower compared with the Lifelines population. Data from the Aarhus cohort were aligned with the findings obtained in the GPS cohort. Presence of comorbidities at baseline did not predict long-term GC requirement. The incidence of diabetes, obesity and cataract among patients with GCA increased upon initiation of GC treatment.

conclusionData from the GCA and PMR cohorts imply a metabolic dysregulation in treatment-naïve patients with GCA, but not in patients with PMR. Treatment with GCs led to the rise of comorbidities and an unhealthier metabolic profile, stressing the need for prednisone-sparing targeted treatment in these vulnerable patients.

Indexed as

CataractDiabetes Mellitus, Type 2Giant Cell ArteritisPolymyalgia RheumaticaDenmarkGlucocorticoidsHumansObesityGlucocorticoidsGiant Cell ArteritisGlucocorticoidsPolymyalgia Rheumatica

Identifiers

PMID36631159
PMCPMC9835962
OpenAlexW4315754125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.