Evidence map›Paper›PMID 26859478›Full record

ReviewCurrent opinion in rheumatology2016

Anti-inflammatory panacea? The expanding therapeutics of interleukin-1 blockade.

J Michelle Kahlenberg

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in rheumatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 12 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

1 author at 1 institution in 1 country.

J Michelle KahlenbergDivision of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan–Ann Arbor · US

Funding

The Role of Innate Immunity in Systemic and Cutaneous LupusK08AR063668 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KAHLENBERG, JOANNE MICHELLE · 2013 to 2017
$736k
NIAMS NIH HHS K08 AR063668NIAMS NIH HHS K08AR063668
6 · The paper itself

Abstract

purpose of reviewBlockade of interleukin (IL)-1 signaling is one of the oldest biologic therapies, yet the use of these agents is on the rise as the role of IL-1 activation is being recognized in a wide spectrum of inflammatory disorders. This review will cover established and emerging uses of IL-1 antagonism in rheumatic diseases. RECENT

findingsExpanding off-label indications for IL-1 blockade include neutrophil-dominant skin diseases, including pyoderma gangrenosum, hidradenitis supperativa, and pustular psoriasis. There is also increasing evidence for the use of IL-1 blockade in heart failure associated with rheumatic diseases. Somatic mosaicism in NLRP3 may explain the onset of later-in-life presentations of periodic fevers which are responsive to IL-1 blockade. Of importance, clinical response to anti-IL-1 therapy does not always denote protection from autoinflammatory disease complications such as macrophage activation syndrome or amyloidosis. SUMMARY: Indications for IL-1 blocking therapies will likely continue to broaden, but given the rarity of many rheumatic diseases which respond to such treatment, rigorous, large clinical trials for each indication are unlikely to occur. Thus, recommended use of these medications will often fall to the discretion of the astute physician. However, medication cost and hurdles of insurance approval, rather than drug efficacy, may be the primary limitation for more widespread use.

Indexed as

Anti-Inflammatory AgentsHumansInterleukin-1Rheumatic DiseasesAnti-Inflammatory AgentsInterleukin-1

Identifiers

PMID26859478
PMCPMC4901309
OpenAlexW2312549614

What OpenQuestion holds

Textmetadata
LicenceTDM
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.