Evidence map›Paper›PMID 39906912›Full record

ArticleACR open rheumatology2025

Use of

Kaitlin A Quinn, Mark A Ahlman, Peter C Grayson

Abstract read
In one paragraph

Article in ACR open rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors.

Kaitlin A QuinnNational Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, Maryland.ORCID https://orcid.org/0000-0002-5794-194X
Mark A AhlmanMedical College of Georgia, Augusta.
Peter C GraysonNational Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, Maryland.ORCID https://orcid.org/0000-0002-8269-9438

Funding

NIAMS NIH HHS ZIA-AR-041199
6 · The paper itself

Abstract

objectiveThe objective of this study was to assess the value of

methodsPatients with GCA were recruited into a prospective cohort in which they underwent clinical, laboratory, and imaging assessments, including FDG-PET. FDG-PET scans were interpreted as active or inactive based on global impression by two independent readers. The PET Vascular Activity Score (PETVAS) was calculated to quantify arterial FDG uptake (scale 0-27). Vascular FDG-PET findings were described in patients with GCA on tocilizumab for at least six months. For patients in established clinical remission, FDG-PET findings were compared between those treated with tocilizumab versus glucocorticoid monotherapy.

resultsA total of 36 patients with GCA underwent FDG-PET imaging on tocilizumab. Five patients had active clinical symptoms, and FDG-PET scans were active in all cases (PETVAS range: 20-27). For the 31 patients in clinical remission on tocilizumab, FDG-PET was active in 16 of these patients (52%) across a wide range of PETVAS (range 11-27). There were no associations between FDG-PET activity during remission and historical clinical features or longitudinal outcomes, including relapse risk or angiographic progression of disease. PETVAS was significantly lower during clinical remission in patients treated with tocilizumab compared to an additional 12 patients treated with glucocorticoid monotherapy (PETVAS 18 vs 24; P = 0.02).

conclusionFDG-PET has limited value to guide management decisions or inform prognosis when obtained during remission in patients with GCA on tocilizumab. Compared to glucocorticoid monotherapy, tocilizumab significantly reduces, but often does not eliminate, vascular inflammation in GCA.

Identifiers

PMID39906912
PMCPMC11795057

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.