Evidence map›Paper›PMID 28096457›Full record

ArticleRheumatology (Oxford, England)2017

The predictive value of serum S100A9 and response to etanercept is not confirmed in a large UK rheumatoid arthritis cohort.

Samantha Louise Smith, Darren Plant, Stephen Eyre, Kimme Hyrich, Ann W Morgan, Anthony G Wilson, John D Isaacs, Anne Barton

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. S100 proteins in rheumatic diseases.Nature reviews. Rheumatology · 2018
    Review
  7. Article
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

8 authors at 6 institutions in 2 countries.

Samantha Louise SmithArthritis Research UK, Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester.
Darren PlantNational Institute for Health Research Manchester Musculoskeletal Biomedical Research Unit, Central Manchester Foundation Trust and University of Manchester, Manchester Academic Health Science Centre.
Stephen EyreArthritis Research UK, Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester.
Kimme HyrichArthritis Research UK, Centre for Epidemiology, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester.
Ann W MorganLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and National Institute of Health Research Leeds Musculoskeletal Biomedical Research Unit, Leeds Teaching Hospitals National Health Service Trust, Leeds, UK.
Anthony G WilsonUniversity College Dublin School of Medicine and Medical Science, Conway Institute, University College Dublin, Dublin, Ireland.
John D IsaacsMusculoskeletal Research Group, Institute of Cellular Medicine, Newcastle University and National Institute of Health Research Newcastle Biomedical Research Centre, Newcastle upon Tyne National Health Service Foundation Trust, Newcastle upon Tyne, UK.
Anne BartonArthritis Research UK, Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, The University of Manchester.
University of Manchester · GBManchester Academic Health Science Centre · GBNational Health Service · GBNational Institute for Health Research · GBNIHR Leeds Musculoskeletal Biomedical Research Unit · GBUniversity College Dublin · IE

Funding

Arthritis Research UK 20385Medical Research Council G1001518Medical Research Council MR/K015346/1Medical Research Council MR/L01629X/1Versus Arthritis 20747
6 · The paper itself

Abstract

Objective: The aim was to correlate protein concentrations of S100A9 in pretreatment serum samples with response to the tumour-necrosis factor (TNF) inhibitor drugs etanercept in a large UK replication cohort. Methods: Pretreatment serum samples from patients with RA (n = 236) about to commence treatment with etanercept had S100A9 serum concentration measured using an ELISA. Following the experimental procedure, S100A9 concentrations were analysed with respect to EULAR response. Results: No evidence of association between S100A9 concentration and EULAR response to the TNF-inhibitor biologic drug etanercept was observed following multinomial logistic regression analysis (non-responder vs moderate responder, P = 0.957; and non-responder vs good responder, P = 0.316). Furthermore, no significant associations were observed when correlating pretreatment S100A9 concentrations with clinical parameters of disease activity (P > 0.05). Conclusion: In the largest replication cohort conducted to date, no evidence for association was observed to support the use of S100A9 as a clinical biomarker predictive of response to the TNF-inhibitor biologic drug etanercept.

Indexed as

AdultAntirheumatic AgentsArthritis, RheumatoidBiomarkersCalgranulin BEnzyme-Linked Immunosorbent AssayEtanerceptFemaleHumansMaleTreatment OutcomeAntirheumatic AgentsBiomarkersCalgranulin BEtanerceptbiomarkeretanerceptprecision medicineproteinrheumatoid arthritistreatment response

Identifiers

PMID28096457
PMCPMC5445600
OpenAlexW2578884045

What OpenQuestion holds

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LicenceCC BY
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.