Evidence map›Paper›PMID 27964757›Full record

ArticleArthritis research & therapy2016

Discordant inflammation and pain in early and established rheumatoid arthritis: Latent Class Analysis of Early Rheumatoid Arthritis Network and British Society for Rheumatology Biologics Register data.

Daniel F McWilliams, Eamonn Ferguson, Adam Young, Patrick D W Kiely, David A Walsh

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  3. Towards an individualised approach to pain management in inflammatory arthritis.Therapeutic advances in musculoskeletal disease · 2026
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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

5 authors at 4 institutions in 1 country.

Daniel F McWilliamsDivision of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, City Hospital, Nottingham, NG5 1PB, UK. dan.mcwilliams@nottingham.ac.uk.
Eamonn FergusonArthritis Research UK Pain Centre, University of Nottingham, Nottingham, UK.
Adam YoungWest Hertfordshire Hospitals NHS Trust, St. Albans, UK.
Patrick D W KielySt. George's Healthcare NHS Trust, London, UK.
David A WalshDivision of Rheumatology, Orthopaedics and Dermatology, School of Medicine, University of Nottingham, City Hospital, Nottingham, NG5 1PB, UK.
University of Nottingham · GBSouth West London and St George's Mental Health NHS Trust · GBVersus Arthritis · GBWest Hertfordshire Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) disease activity is often measured using the 28-joint Disease Activity Score (DAS28). We aimed to identify and independently verify subgroups of people with RA that may be discordant with respect to self-reported and objective disease state, with potentially different clinical needs.

methodsData were derived from three cohorts: (1) the Early Rheumatoid Arthritis Network (ERAN) and the British Society for Rheumatology Biologics Register (BSRBR), (2) those commencing tumour necrosis factor (TNF)-α inhibitors and (3) those using non-biologic drugs. In latent class analysis, we used variables related to pain, central pain mechanisms or inflammation (pain, vitality, mental health, erythrocyte sedimentation rate, swollen joint count, tender joint count, visual analogue scale of general health). Clinically relevant outcomes were examined.

resultsFive, four and four latent classes were found in the ERAN, BSRBR TNF inhibitor and non-biologic cohorts, respectively. The proportions of people assigned with >80% probability into latent classes were 76%, 58% and 72% in the ERAN, TNF inhibitor and non-biologic cohorts, respectively. The latent classes displayed either concordance between measures indicative of mild, moderate or severe disease activity; discordantly worse patient-reported measures despite less markedly elevated inflammation; or discordantly less severe patient-reported measures despite elevated inflammation. Latent classes with discordantly worse patient-reported measures represented 12%, 40% and 21% of the ERAN, TNF inhibitor and non-biologic cohorts, respectively; contained more females; and showed worse function. In those latent classes with worse scores at baseline, DAS28 and function improved over 1 year (p < 0.001 for all comparisons), and scores differed less at follow-up than at baseline.

conclusionsDiscordant latent classes can be identified in people with RA, and these findings are robust across three cohorts with varying disease duration and activity. These findings could be used to identify a sizeable subgroup of people with RA who might gain added benefit from pain management strategies.

Indexed as

AdultAgedAntirheumatic AgentsArthritis, RheumatoidFemaleHumansInflammationMaleMiddle AgedPainRegistriesSeverity of Illness IndexAntirheumatic AgentsInflammationLatent class analysisPainRheumatoid arthritis

Identifiers

PMID27964757
PMCPMC5154167
OpenAlexW2565294726

What OpenQuestion holds

Textmetadata
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.