Evidence map›Paper›PMID 32864695›Full record

ReviewRheumatology (Oxford, England)2020

Predicting treatment response to IL6R blockers in rheumatoid arthritis.

Bako Nouri, Nisha Nair, Anne Barton

Abstract readReview
In one paragraph

Review in Rheumatology (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

3 authors.

Bako NouriCentre of Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester.
Nisha NairCentre of Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester.
Anne BartonCentre of Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with severe, active RA who have not responded to conventional therapy may receive biological disease modifying anti-rheumatic drugs (bDMARDs). However, 40% of cases do not achieve complete disease control, resulting in a negative impact on patient quality of life and representing a waste of healthcare resources. Ongoing research seeks to establish biomarkers, which can be used to predict treatment response to biologics in RA to enable more targeted approaches to treatment. However, much of the work has focused on one class of biologic drug, the TNF inhibitors (TNFi). Here, we will review the current state of research to identify biomarkers predictive of response to the class of bDMARDs targeting the IL6R. While success has been limited thus far, serum drug and low ICAM1 levels have shown promise, with associations reported in independent studies. The challenges faced by researchers and lessons learned from studies of TNFi will be discussed.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidForecastingHumansReceptors, Interleukin-6Treatment OutcomeAntirheumatic AgentsIL6R protein, humanReceptors, Interleukin-6IL6R blockersrheumatoid arthritistreatment response

Identifiers

PMID32864695
PMCPMC7733712

What OpenQuestion holds

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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.