Evidence map›Paper›PMID 31485004›Full record

ReviewNature reviews. Rheumatology2019

Bedside to bench: defining the immunopathogenesis of psoriatic arthritis.

Arlene Bravo, Arthur Kavanaugh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 54 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

2 authors at 1 institution in 1 country.

Arlene BravoDivision of Rheumatology, Allergy & Immunology, University of California San Diego, San Diego, CA, USA.
Arthur KavanaughDivision of Rheumatology, Allergy & Immunology, University of California San Diego, San Diego, CA, USA. akavanaugh@ucsd.edu.ORCID http://orcid.org/0000-0001-6942-5830
University of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriatic arthritis (PsA) is an immune-mediated, systemic inflammatory disorder. PsA can present with heterogeneous clinical features. Advances in understanding the immunopathogenesis of PsA have helped to facilitate the development of agents targeting specific components of the dysregulated inflammatory and immune responses relevant to PsA. Interestingly, agents with distinct mechanisms of action have shown differential responses across the various disease domains of PsA, counter to what might have been expected from basic science investigations. Here, we review data utilizing various novel targeted therapies for PsA, focusing on biologic and targeted synthetic therapies. These data might support the idea of a 'bedside to bench' concept, whereby results from clinical trials of specific targeted therapies inform our understanding of the immunopathogenesis of PsA. For example, TNF inhibition confers substantial and comparable benefit for all domains of PsA, supporting the view that TNF is a central pro-inflammatory cytokine across diverse areas of disease involvement. On the other hand, inhibition of IL-12-IL-23, as compared with inhibition of TNF, has greater efficacy for psoriasis, comparable efficacy for peripheral arthritis, but was ineffective in studies of axial spondyloarthritis. Data from studies of agents with distinct mechanisms of action will help to further refine our understanding of the immunopathogenesis of PsA.

Indexed as

AutoimmunityAntirheumatic AgentsArthritis, PsoriaticCytokinesHumansImmunologic FactorsMonitoring, ImmunologicAntirheumatic AgentsCytokinesImmunologic Factors

Identifiers

PMID31485004
OpenAlexW2971640911

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.