Evidence map›Paper›PMID 40223083›Full record

ArticleBMC ophthalmology2025

Biomarkers of ocular manifestation in newly diagnosed giant cell arteritis.

Jan Henrik Terheyden, Simon M Petzinna, Lara C Burg, Leon von der Emde, Charlotte Behning, Julie Jungblut, Katharina Reinking, Frank G Holz, Thomas Ach, Maximilian W M Wintergerst and 2 more

Abstract read
In one paragraph

Article in BMC ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [RMD open · 2026
    Article
  2. Article
  3. Cardiovascular magnetic resonance detects subclinical cardiac involvement in giant cell arteritis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

12 authors.

Jan Henrik Terheyden *Department of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. jan.terheyden@ukbonn.de.
Simon M Petzinna *Department of Rheumatology and Clinical Immunology, Clinic of Internal Medicine III, University Hospital of Bonn, Bonn, Germany.
Lara C BurgDepartment of Rheumatology and Clinical Immunology, Clinic of Internal Medicine III, University Hospital of Bonn, Bonn, Germany.
Leon von der EmdeDepartment of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Charlotte BehningInstitute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany.
Julie JungblutDepartment of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Katharina ReinkingDepartment of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Frank G HolzDepartment of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Thomas AchDepartment of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Maximilian W M WintergerstDepartment of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Valentin S Schäfer *Department of Rheumatology and Clinical Immunology, Clinic of Internal Medicine III, University Hospital of Bonn, Bonn, Germany.
Robert P Finger *Department of Ophthalmology, University Hospital of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiant cell arteritis (GCA) is a vasculitis of large and medium-sized vessels that causes severe ophthalmic complications. Timely diagnosis and disease monitoring may prevent permanent vision loss but biomarkers for early ocular involvement are scarce. This study evaluates early optical coherence tomography (OCT) and OCT angiography (OCTA) biomarkers of ocular involvement in newly diagnosed GCA.

methodsNewly diagnosed GCA patients and similarly aged controls were enrolled. Participants underwent ocular examination, including OCT and OCTA imaging of the macula and optic disc. OCT metrics included macular ganglion cell layer (GCL) and peripapillary retinal nerve fiber layer (pRNFL) thickness. OCTA parameters included vessel density (VD), vessel skeleton density, and vessel diameter index (VDI). Associations between imaging biomarkers and GCA symptoms (ordinal GCA symptom score) were analyzed using age-adjusted regression models.

resultsWe recruited 23 newly diagnosed GCA patients and 27 controls. VD and VDI in the deep retinal capillaries were significantly higher in GCA compared to controls (p ≤ 0.027). In patients reporting ocular symptoms, GCL thickness, volume and pRNFL thickness were increased in 11%, 22% and 17% of Early Treatment Diabetic Retinopathy Study subfields compared to controls (p ≤ 0.04). Additionally, GCL and pRNFL thicknesses were associated with GCA symptoms (p ≤ 0.041).

conclusionsOCT and OCTA imaging revealed structural and perfusion alterations in newly diagnosed GCA patients. Retinal microcirculation was altered, even regardless of the presence of ophthalmic symptoms. Structural changes correlated with systemic manifestations of GCA, suggesting a link between extracranial and intracranial involvement. Our findings underscore the potential diagnostic value of OCT and OCTA biomarkers for ocular involvement in GCA.

Indexed as

Giant Cell ArteritisRetinal Ganglion CellsRetinal VesselsAgedAged, 80 and overBiomarkersCross-Sectional StudiesFemaleFluorescein AngiographyHumansMacula LuteaMaleMiddle AgedNerve FibersOptic DiskTomography, Optical CoherenceBiomarkersGiant cell arteritisImagingOcular biomarkerOptical coherence tomographyOptical coherence tomography angiography

Identifiers

PMID40223083
PMCPMC11995548

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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.