Evidence map›Paper›PMID 39211026›Full record

ArticleMediterranean journal of rheumatology2024

Identification and Clinical Correlation of Circulating MAIT, γδ T, ILC3, and Pre-Inflammatory Mesenchymal Cells in Patients with Rheumatoid Arthritis and Spondyloarthritis.

Maria Kyriakidi, Eleni-Kyriaki Vetsika, Georgios E Fragoulis, Maria Tektonidou, Petros P Sfikakis

Abstract read
In one paragraph

Article in Mediterranean journal of rheumatology, 2024. 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
–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

5 citing papers in PubMed.

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

5 authors.

Maria KyriakidiCentre of New Biotechnologies and Precision Medicine (CNBPM) School of Medicine, National and Kapodistrian University of Athens, Athens.
Eleni-Kyriaki VetsikaCentre of New Biotechnologies and Precision Medicine (CNBPM) School of Medicine, National and Kapodistrian University of Athens, Athens.
Georgios E FragoulisFirst Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens, "Laiko" General Hospital, Athens.
Maria TektonidouFirst Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens, "Laiko" General Hospital, Athens.
Petros P SfikakisFirst Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens, "Laiko" General Hospital, Athens.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory rheumatic diseases (IRDs), such as rheumatoid arthritis (RA) and spondyloarthropathy (SpA), comprise a heterogeneous group of immune-mediated disorders, characterised by the presence of localised and/or systemic inflammation. The limited knowledge of the pathogenesis and the complex mechanisms involved in the induction and maintenance of inflammation in IRDs have impeded the development of reliable biomarkers and the discovery of new therapeutic targets. Although the involvement of heterogeneous cell populations in the pathogenesis of IRDs has been recognised, the characterisation of these cellular subsets in the peripheral blood of patients has not been studied yet. Mass cytometry, allowing the simultaneous detection of more than 120 different parameters in single-cell resolution, will enable the identification of circulating cell subpopulations that might play a pivotal role in IRDs pathophysiology and their potential use as therapeutic targets.

Indexed as

axial spondyloarthritisbiomarkerscirculating mesenchymal cellsimmuno-profilingmass cytometrypsoriatic arthritisrheumatoid arthritis

Identifiers

PMID39211026
PMCPMC11350411

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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.