Evidence map›Paper›PMID 40568845›Full record

Observational studyRheumatology (Oxford, England)2025

Neither ultrasound synovitis nor clinical-ultrasound phenotypes of established rheumatoid arthritis predict response to targeted therapy.

John Fitton, Andrew Melville, Andrea Di Matteo, Jackie Nam, Shouvik Dass, Benazir Saleem, Rudresh Shukla, Paul Emery, Richard J Wakefield, Elizabeth M A Hensor and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Rheumatology (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

John FittonLeeds Biomedical Research Centre, National Institute for Health and Care Research, Leeds, UK.
Andrew MelvilleLeeds Biomedical Research Centre, National Institute for Health and Care Research, Leeds, UK.
Andrea Di MatteoLeeds Biomedical Research Centre, National Institute for Health and Care Research, Leeds, UK.ORCID 0000-0003-0867-7051
Jackie NamLeeds Biomedical Research Centre, National Institute for Health and Care Research, Leeds, UK.
Shouvik DassDepartment of Rheumatology, Chapel Allerton Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Benazir SaleemDepartment of Rheumatology, Chapel Allerton Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Rudresh ShuklaCentre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Paul EmeryLeeds Biomedical Research Centre, National Institute for Health and Care Research, Leeds, UK.
Richard J WakefieldLeeds Biomedical Research Centre, National Institute for Health and Care Research, Leeds, UK.
Elizabeth M A HensorLeeds Biomedical Research Centre, National Institute for Health and Care Research, Leeds, UK.ORCID 0000-0002-5245-4755
Maya H BuchCentre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-8962-5642

Funding

Department of Health and Social CareLeeds Biomedical Research Centre NIHR203331Leeds Teaching Hospitals NHS TrustManchester BRC NIHR203308National Institute for Health and Care ResearchNIHR
6 · The paper itself

Abstract

objectivesTo identify patient sub-phenotypes using clinical and imaging measures in established rheumatoid arthritis (RA) and to establish if baseline ultrasound synovitis and/or baseline patient sub-phenotypes predicts response to targeted therapy (TT).

methodsThis was an observational cohort study of consecutively recruited patients with established RA starting TT. Participants received clinical assessment, 38-joint musculoskeletal ultrasound (MSUS), measuring grey scale and power Doppler (PD) synovitis/tenosynovitis, and patient reported outcomes (PRO), prior to and 6 months after treatment. Latent profile analysis of the clinical and MSUS variables identified disease clusters, and multinomial logistic regression models determined whether these and/or baseline synovitis predicted EULAR response.

resultsOf 200 recruited patients, three clusters, low to high inflammatory, were identified with median (IQR) total joint PD 2 (0-4) in cluster 1, 9 (6-13) in cluster 2 and 29.5 (21-45) in cluster 3. A health assessment questionnaire correlated with disease activity, and DAS-P score distributions differed between clusters (P = 0.001) but with identical medians. Other PROs did not differ. At 6 months relative risk ratio of EULAR response in those with baseline synovitis compared with those without was 1.05 (95% CI: 0.38, 2.93) and response compared with the lowest inflammatory cluster [1] was 1.50 (95% CI: 0.61, 3.70) for cluster 2 and 1.24 (95% CI: 0.43, 3.60) for cluster 3.

conclusionThis is the first study to identify RA phenotypes employing 38-joint MSUS. Strikingly, neither baseline synovitis nor inflammatory cluster predicted clinical response. Mechanistic understanding of TT response/non-response is needed and clinical trials need to still capture all these populations.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidSynovitisAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresPhenotypeSeverity of Illness IndexTreatment OutcomeUltrasonographyUltrasonography, DopplerAntirheumatic AgentsDMARDphenotypespower Dopplerresponserheumatoid arthritissynovitisultrasound

Identifiers

PMID40568845
PMCPMC12671869

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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.