Evidence map›Paper›PMID 37551033›Full record

ArticleACR open rheumatology2023

Distinct Fluorescence Optical Imaging Patient Clusters Emerge for Seropositive and Seronegative Rheumatoid Arthritis.

Yogan Kisten, Laurent Arnaud, Adrian Levitsky, Noémi Györi, Per Larsson, Aase Hensvold, Anca Catrina, Erik Af Klint, Hamed Rezaei

Abstract read
In one paragraph

Article in ACR open rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Yogan KistenKarolinska Institute and Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-3988-1629
Laurent ArnaudHôpitaux Universitaires de Strasbourg Service de Rhumatologie, National Reference Center for Rare Systemic Autoimmune Diseases, Strasbourg, Alsace-Champagne-Ardenne, France.ORCID https://orcid.org/0000-0002-8077-8394
Adrian LevitskyKarolinska Institute and Karolinska University Hospital, Stockholm, Sweden.
Noémi GyöriKarolinska Institute and Karolinska University Hospital, Stockholm, Sweden.
Per LarssonAcademic Specialist Center, Stockholm, Sweden.
Aase HensvoldKarolinska Institute and Karolinska University Hospital and Academic Specialist Center, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-7669-3777
Anca CatrinaKarolinska Institute and Karolinska University Hospital and Academic Specialist Center, Stockholm, Sweden.
Erik Af KlintKarolinska Institute and Karolinska University Hospital, Stockholm, Sweden.
Hamed RezaeiKarolinska Institute and Karolinska University Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate whether digital activity fluorescence optical imaging (FOI) patterns of inflammation can identify distinct rheumatoid arthritis (RA) phenotypes.

methodsThe hands of newly diagnosed patients with RA were evaluated by clinical examination, musculoskeletal ultrasound, and FOI. Inflammation on FOI was defined when capillary leakage and/or fluorophore perfusion was present. The FOI composite image was quantified into a digital disease activity (DACT) score, using novel computerized algorithms. Unsupervised clustering on FOI inflammatory patterns was used to identify subgroups of patients relative to anticyclic citrullinated peptides (ACPA) and/or rheumatoid factor (RF).

resultsOf 1326 examined hand joints in 39 patients with RA (72% female; 56% ever-smokers; 54% RF positive and 69% ACPA positive), 400 (30%) showed inflammation by FOI, and 95% (37 of 39) of patients had DACT-FOI scores greater than 1. Unsupervised analysis on FOI patterns revealed two patient clusters, cluster 1 (n = 29) and cluster 2 (n = 10). The proportion of seropositive patients was significantly higher in cluster 1 versus cluster 2 (90%, 26 of 29 vs. 30%, 3 of 10; P < 0.01), whereas C-reactive-protein levels (minimum-maximum) were significantly higher in cluster 2 (20 mg/l [1-102]) versus cluster 1 (2 mg/l [0-119]; P = 0.01). A wider variety and proportion of inflamed joints emerged for patients with RA in cluster 2 versus cluster 1, in which inflammation was more concentrated around the wrists and the right metacarpophalangeal 2 (MCP2), bilateral MCP3, and, to a lesser degree, left MCP2 and proximal interphalangeal joint and tendon regions. Cluster 1 displayed lower mean (±SD) DACT scores compared with cluster 2 (3.6 ± 2.1 vs. 5.4 ± 2.1; P = 0.03).

conclusionFOI-based digital quantification of hand joint inflammation revealed two distinct RA subpopulations with and without ACPA and RF related autoantibodies.

Identifiers

PMID37551033
PMCPMC10502810

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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.