Evidence map›Paper›PMID 23392591›Full record

ArticleRheumatology (Oxford, England)2013

A multi-biomarker score measures rheumatoid arthritis disease activity in the BeSt study.

Shintaro Hirata, Linda Dirven, Yijing Shen, Michael Centola, Guy Cavet, Willem F Lems, Yoshiya Tanaka, Thomas W J Huizinga, Cornelia F Allaart

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Rheumatology (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
10.8field-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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 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

9 authors at 1 institution in 1 country.

Shintaro HirataLeiden University Medical Center, PO Box 9600, Albinusdreef 2, 2300 RC Leiden, The Netherlands.
Linda Dirven
Yijing Shen
Michael Centola
Guy Cavet
Willem F Lems
Yoshiya Tanaka
Thomas W J Huizinga
Cornelia F Allaart
University of Occupational and Environmental Health Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate a multi-biomarker disease activity (MBDA) score, a novel index based on 12 serum proteins, as a tool to guide management of RA patients.

methodsA total of 125 patients with RA from the Behandel Strategieën study were studied. Clinical data and serum samples were available from 179 visits, 91 at baseline and 88 at year 1. In each serum sample, 12 biomarkers were measured by quantitative multiplex immunoassays and the concentrations were used as input to a pre-specified algorithm to calculate MBDA scores.

resultsMBDA scores had significant correlation with DAS28-ESR (Spearman's ρ = 0.66, P < 0.0001) and also correlated with simplified disease activity index, clinical disease activity index and HAQ Disability Index (all P < 0.0001). Changes in MBDA between baseline and year 1 were also correlated with changes in DAS28-ESR (ρ = 0.55, P < 0.0001). Groups stratified by European League Against Rheumatism disease activity (DAS28-ESR ≤ 3.2, 3.2-5.1 and > 5.1) had significantly different MBDA scores (P < 0.0001) and MBDA score could discriminate ACR/EULAR Boolean remission with an area under the receiver operating characteristic curve of 0.83 (P < 0.0001).

conclusionThe MBDA score reflects current clinical disease activity and can track changes in disease activity over time.

Indexed as

Severity of Illness IndexAdultAgedAged, 80 and overAntirheumatic AgentsArthritis, RheumatoidBiomarkersBlood SedimentationCytokinesDisability EvaluationDisease ProgressionFemaleHumansInflammation MediatorsMaleMiddle AgedAntirheumatic AgentsBiomarkersCytokinesInflammation Mediatorsbioinformaticsbiomarkerscytokines and inflammatory mediatorsdisability evaluationmolecular biologyoutcome measuresrheumatoid arthritis

Identifiers

PMID23392591
PMCPMC3685330
OpenAlexW2121095925

What OpenQuestion holds

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LicenceCC BY-NC
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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.