Evidence map›Paper›PMID 30143961›Full record

ArticleClinical rheumatology2019

Utility of serological biomarkers for giant cell arteritis in a large cohort of treatment-naïve patients.

Blaž Burja, Julia Feichtinger, Katja Lakota, Gerhard G Thallinger, Snezna Sodin-Semrl, Tadeja Kuret, Žiga Rotar, Rok Ješe, Polona Žigon, Saša Čučnik and 4 more

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Biomarkers in Primary Systemic Vasculitides: Narrative Review.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Article
  6. Plasma proteome profiling in giant cell arteritis.Annals of the rheumatic diseases · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Looking ahead: giant-cell arteritis in 10 years time.Therapeutic advances in musculoskeletal disease · 2022
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

14 authors at 6 institutions in 2 countries.

Blaž BurjaDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Julia FeichtingerInstitute of Computational Biotechnology, Graz University of Technology, Petersgasse 14, 8010, Graz, Austria.
Katja LakotaDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Gerhard G ThallingerInstitute of Computational Biotechnology, Graz University of Technology, Petersgasse 14, 8010, Graz, Austria.
Snezna Sodin-SemrlDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia. ssodin1@yahoo.com.
Tadeja KuretDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Žiga RotarDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Rok JešeDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Polona ŽigonDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Saša ČučnikDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Polonca MaliBlood Transfusion Center of Slovenia, Šlajmerjeva ulica 6, SI-1000, Ljubljana, Slovenia.
Sonja PraprotnikDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Matija TomšičDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Alojzija HočevarDepartment of Rheumatology, University Medical Centre Ljubljana, Vodnikova cesta 62, SI-1000, Ljubljana, Slovenia.
Ljubljana University Medical Centre · SIBioTechMed-Graz · ATBlood Transfusion Centre of Slovenia · SIGraz University of Technology · ATUniversity of Ljubljana · SIUniversity of Primorska · SI

Funding

Austrian Ministry of Science, Research and Economy HSRSM projectSlovenian Research Agency for the National Research Program P3-0314
6 · The paper itself

Abstract

Early diagnosis and treatment of giant cell arteritis (GCA) is crucial for preventing ischemic complications. Multiple serological markers have been identified; however, there is a distinct lack of predicting markers for GCA relapse and complications. Our main objective was to identify serological parameters in a large cohort of treatment-naïve GCA patients, which could support clinicians in evaluating the course of the disease. Clinical data was gathered, along with analyte detection using Luminex technology, ELISA, and nephelometry, among others. Unsupervised hierarchical clustering and principal component analysis of analyte profiles were performed to determine delineation of GCA patients and healthy blood donors (HBDs). Highest, significantly elevated analytes in GCA patients were SAA (83-fold > HBDs median values), IL-23 (58-fold), and IL-6 (11-fold). Importantly, we show for the first time significantly changed levels of MARCO, alpha-fetoprotein, protein C, resistin, TNC, TNF RI, M-CSF, IL-18, and IL-31 in GCA versus HBDs. Changes in levels of SAA, CRP, haptoglobin, ESR, MMP-1 and MMP-2, and TNF-alpha were found associated with relapse and visual disturbances. aCL IgG was associated with limb artery involvement, even following adjustment for multiple testing. Principal component analysis revealed clear delineation between HBDs and GCA patients. Our study reveals biomarker clusters in a large cohort of patients with GCA and emphasizes the importance of using groups of serological biomarkers, such as acute phase proteins, MMPs, and cytokines (e.g. TNF-alpha) that could provide crucial insight into GCA complications and progression, leading to a more personalized disease management.

Indexed as

AgedBiomarkersCluster AnalysisCohort StudiesEarly DiagnosisFemaleGiant Cell ArteritisHumansLogistic ModelsMalePrognosisRecurrenceBiomarkersBiomarkersClusteringComplicationsGiant cell arteritisPrognosisRelapse

Identifiers

PMID30143961
OpenAlexW2888628098

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.