Evidence map›Paper›PMID 22596166›Full record

Trial reportAnnals of the rheumatic diseases2012

Performance of a multi-biomarker score measuring rheumatoid arthritis disease activity in the CAMERA tight control study.

Marije F Bakker, Guy Cavet, Johannes Wg Jacobs, Johannes W J Bijlsma, Douglas J Haney, Yijing Shen, Lyndal K Hesterberg, Dustin R Smith, Michael Centola, Joel A G van Roon and 2 more

Open access · hybridAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Annals of the rheumatic diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 4 pooled it
11.6field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 4 syntheses or guidelines pooled it, 121 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

12 authors at 3 institutions in 2 countries.

Marije F BakkerCorrespondence to Marije F Bakker, UMC Utrecht, Department of Rheumatology & Clinical Immunology, Utrecht PO BOX 85500, The Netherlands. m.f.bakker-8@umcutrecht.nl
Guy Cavet
Johannes Wg Jacobs
Johannes W J Bijlsma
Douglas J Haney
Yijing Shen
Lyndal K Hesterberg
Dustin R Smith
Michael Centola
Joel A G van Roon
Floris P J G Lafeber
Paco M J Welsing
ScienceSouth · USUniversity Medical Center Utrecht · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the performance of individual biomarkers and a multi-biomarker disease activity (MBDA) score in the early rheumatoid arthritis (RA) patient population from the computer assisted management in early rheumatoid arthritis (CAMERA) study.

methodsTwenty biomarkers were measured in the CAMERA cohort, in which patients were treated with either intensive or conventional methotrexate-based treatment strategies. The MBDA score was calculated using the concentrations of 12 biomarkers (SAA, IL-6, TNF-RI, VEGF-A, MMP-1, YKL-40, MMP-3, EGF, VCAM-1, leptin, resistin and CRP) according to a previously trained algorithm. The performance of the scores was evaluated relative to clinical disease activity assessments. Change in MBDA score over time was assessed by paired Wilcoxon rank sum test. Logistic regression was used to evaluate the ability of disease activity measures to predict radiographic progression.

resultsThe MBDA score had a significant correlation with the disease activity score based on 28 joints-C reactive protein (DAS28-CRP) (r=0.72; p<0.001) and an area under the receiver operating characteristic curve for distinguishing remission/low from moderate/high disease activity of 0.86 (p<0.001) using a DAS28-CRP cut-off of 2.7. In multivariate analysis the MBDA score, but not CRP, was an independent predictor of disease activity measures. Additionally, mean (SD) MBDA score decreased from 53 (18) at baseline to 39 (16) at 6 months in response to study therapy (p<0.0001). Neither MBDA score nor clinical variables were predictive of radiographic progression.

conclusionsThis multi-biomarker test performed well in the assessment of disease activity in RA patients in the CAMERA study. Upon further validation, this test could be used to complement currently available disease activity measures and improve patient care and outcomes.

Indexed as

Antirheumatic AgentsArea Under CurveArthritis, RheumatoidBiomarkersDisease ProgressionHumansMethotrexateRadiographyROC CurveAntirheumatic AgentsBiomarkersMethotrexate

Identifiers

PMID22596166
PMCPMC3439649
OpenAlexW2124428679

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.