Evidence map›Paper›PMID 30824919›Full record

ArticleRheumatology (Oxford, England)2019

Validity of a two-component imaging-derived disease activity score for improved assessment of synovitis in early rheumatoid arthritis.

Elizabeth M A Hensor, Paul McKeigue, Stephanie F Ling, Marco Colombo, Jennifer H Barrett, Jackie L Nam, Jane Freeston, Maya H Buch, Athina Spiliopoulou, Felix Agakov and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 54 citations in OpenAlex.

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  14. Towards Personalized Medicine in Rheumatoid Arthritis.Open access rheumatology : research and reviews · 2024
    Review
  15. Article
  16. Article
  17. Lipid metabolism and rheumatoid arthritis.Frontiers in immunology · 2023
    Review
  18. Article
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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

20 authors at 5 institutions in 1 country.

Elizabeth M A HensorLeeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds.
Paul McKeigueUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh.
Stephanie F LingArthritis Research UK Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester.
Marco ColomboUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh.
Jennifer H BarrettNIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds.
Jackie L NamLeeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds.
Jane FreestonLeeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds.
Maya H BuchLeeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds.
Athina SpiliopoulouUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh.
Felix AgakovPharmatics Limited, Edinburgh.
Stephen KellyWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London.
Myles J LewisWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London.
Suzanne M M VerstappenArthritis Research UK Centre for Epidemiology, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester.
Alexander J MacGregorNorwich Medical School, University of East Anglia, Norwich, UK.
Sebastien ViatteArthritis Research UK Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester.
Anne BartonArthritis Research UK Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester.
Costantino PitzalisWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London.
Paul EmeryLeeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds.
Philip G ConaghanLeeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds.
Ann W MorganLeeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds.
University of Leeds · GBUniversity of Manchester · GBQueen Mary University of London · GBUniversity of Edinburgh · GBUniversity of East Anglia · GB

Funding

Medical Research Council G0800648Medical Research Council MR/K015346/1Versus Arthritis 21229
6 · The paper itself

Abstract

objectivesImaging of joint inflammation provides a standard against which to derive an updated DAS for RA. Our objectives were to develop and validate a DAS based on reweighting the DAS28 components to maximize association with US-assessed synovitis.

methodsEarly RA patients from two observational cohorts (n = 434 and n = 117) and a clinical trial (n = 59) were assessed at intervals up to 104 weeks from baseline; all US scans were within 1 week of clinical exam. There were 899, 163 and 183 visits in each cohort. Associations of combined US grey scale and power Doppler scores (GSPD) with 28 tender joint count and 28 swollen joint count (SJC28), CRP, ESR and general health visual analogue scale were examined in linear mixed model regressions. Cross-validation evaluated model predictive ability. Coefficients learned from training data defined a re-weighted DAS28 that was validated against radiographic progression in independent data (3037 observations; 717 patients).

resultsOf the conventional DAS28 components only SJC28 and CRP were associated with GSPD in all three development cohorts. A two-component model including SJC28 and CRP outperformed a four-component model (R2 = 0.235, 0.392, 0.380 vs 0.232, 0.380, 0.375, respectively). The re-weighted two-component DAS28CRP outperformed conventional DAS28 definitions in predicting GSPD (Δtest log-likelihood <-2.6, P < 0.01), Larsen score and presence of erosions.

conclusionA score based on SJC28 and CRP alone demonstrated stronger associations with synovitis and radiographic progression than the original DAS28 and should be considered in research on pathophysiological manifestations of early RA. Implications for clinical management of RA remain to be established.

Indexed as

DAS28rheumatoid arthritissynovitisultrasonography

Identifiers

PMID30824919
PMCPMC6649844
OpenAlexW2801687094

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.