Evidence map›Paper›PMID 31338093›Full record

ArticleFrontiers in immunology2019

Candidate Markers for Stratification and Classification in Rheumatoid Arthritis.

Lucius Bader, Stein-Erik Gullaksen, Nello Blaser, Morten Brun, Gerd Haga Bringeland, André Sulen, Clara Gram Gjesdal, Christian Vedeler, Sonia Gavasso

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Lucius BaderBergen Group of Epidemiology and Biomarkers in Rheumatic Disease, Department of Rheumatology, Haukeland University Hospital, Bergen, Norway.
Stein-Erik GullaksenCenter of Cancer Biomarkers, University of Bergen, Bergen, Norway.
Nello BlaserDepartment of Mathematics, University of Bergen, Bergen, Norway.
Morten BrunDepartment of Mathematics, University of Bergen, Bergen, Norway.
Gerd Haga BringelandDepartment of Neurology, Haukeland University Hospital, Bergen, Norway.
André SulenBergen Group of Epidemiology and Biomarkers in Rheumatic Disease, Department of Rheumatology, Haukeland University Hospital, Bergen, Norway.
Clara Gram GjesdalBergen Group of Epidemiology and Biomarkers in Rheumatic Disease, Department of Rheumatology, Haukeland University Hospital, Bergen, Norway.
Christian VedelerDepartment of Neurology, Haukeland University Hospital, Bergen, Norway.
Sonia GavassoBergen Group of Epidemiology and Biomarkers in Rheumatic Disease, Department of Rheumatology, Haukeland University Hospital, Bergen, Norway.
Haukeland University Hospital · NOUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune, inflammatory disease, characterized by synovitis in small- and medium-sized joints and, if not treated early and efficiently, joint damage, and destruction. RA is a heterogeneous disease with a plethora of treatment options. The pro-inflammatory cytokine tumor necrosis factor (TNF) plays a central role in the pathogenesis of RA, and TNF inhibitors effectively repress inflammatory activity in RA. Currently, treatment decisions are primarily based on empirics and economic considerations. However, the considerable interpatient variability in response to treatment is a challenge. Markers for a more exact patient classification and stratification are lacking. The objective of this study was to identify markers in immune cell populations that distinguish RA patients from healthy donors with an emphasis on TNF signaling. We employed mass cytometry (CyTOF) with a panel of 13 phenotyping and 10 functional markers to explore signaling in unstimulated and TNF-stimulated peripheral blood mononuclear cells from 20 newly diagnosed, untreated RA patients and 20 healthy donors. The resulting high-dimensional data were analyzed in three independent analysis pipelines, characterized by differences in both data clean-up, identification of cell subsets/clustering and statistical approaches. All three analysis pipelines identified p-p38, IkBa, p-cJun, p-NFkB, and CD86 in cells of both the innate arm (myeloid dendritic cells and classical monocytes) and the adaptive arm (memory CD4

Indexed as

AdultAgedArthritis, RheumatoidBiomarkersCD4-Positive T-LymphocytesFemaleHumansMaleMiddle AgedMonocytesNeutrophilsProto-Oncogene Proteins c-aktReceptors, Tumor Necrosis Factor, Type IITumor Necrosis Factor-alphaBiomarkersProto-Oncogene Proteins c-aktReceptors, Tumor Necrosis Factor, Type IITNFRSF1B protein, humanTumor Necrosis Factor-alphamass cytometrypatient stratificationrheumatoid arthritistumor necrosis factortumor necrosis factor inhibitors

Identifiers

PMID31338093
PMCPMC6626904
OpenAlexW2949283499

What OpenQuestion holds

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LicenceCC BY
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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.