Evidence map›Paper›PMID 35149602›Full record

ReviewRMD open2022

Need and value of targeted immunosuppressive therapy in giant cell arteritis.

Maria Sandovici, Niels van der Geest, Yannick van Sleen, Elisabeth Brouwer

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in RMD open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Maria SandoviciDepartment of Rheumatology and Clinical Immunology, University Medical Centre Groningen, Groningen, Netherlands m.sandovici01@umcg.nl.ORCID 0000-0002-4809-0653
Niels van der GeestDepartment of Rheumatology and Clinical Immunology, University Medical Centre Groningen, Groningen, Netherlands.ORCID 0000-0003-2798-6765
Yannick van SleenDepartment of Rheumatology and Clinical Immunology, University Medical Centre Groningen, Groningen, Netherlands.ORCID 0000-0002-7382-8322
Elisabeth BrouwerDepartment of Rheumatology and Clinical Immunology, University Medical Centre Groningen, Groningen, Netherlands.ORCID 0000-0002-4809-0653
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the heterogeneity of the giant cell arteritis (GCA) at the level of clinical manifestations and the cellular and molecular players involved in its pathogenesis, GCA is still treated with standardised regimens largely based on glucocorticoids (GC). Long-term use of high dosages of GC as required in GCA are associated with many clinically relevant side effects. In the recent years, the interleukin-6 receptor blocker tocilizumab has become available as the only registered targeted immunosuppressive agent in GCA. However, immunological heterogeneity may require different pathways to be targeted in order to achieve a clinical, immunological and vascular remission in GCA. The advances in the targeted blockade of various molecular pathways involved in other inflammatory and autoimmune diseases have catalyzed the research on targeted therapy in GCA. This article gives an overview of the studies with targeted immunosuppressive treatments in GCA, with a focus on their clinical value, including their effects at the level of vascular inflammation.

Indexed as

Giant Cell ArteritisGlucocorticoidsHumansImmunosuppression TherapyImmunosuppressive AgentsGlucocorticoidsImmunosuppressive Agentsbiological therapygiant cell arteritisglucocorticoids

Identifiers

PMID35149602
PMCPMC8845325
OpenAlexW4211004807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.