Evidence map›Paper›PMID 37608509›Full record

ArticleACR open rheumatology2023

RheuMetric Quantitative 0 to 10 Physician Estimates of Inflammation, Damage, and Distress in Rheumatoid Arthritis: Validation Against Reference Measures.

Nicholas Rodwell, Geraldine Hassett, Paul Bird, Theodore Pincus, Joseph Descallar, Kathryn A Gibson

Abstract read
In one paragraph

Article in ACR open rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Physician estimate of inflammationRheumatology advances in practice · 2024
    Article
  7. Article
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

6 authors.

Nicholas RodwellLiverpool Hospital and Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia, and University of New South Wales, Medicine and Health, Sydney, New South Wales, Australia.
Geraldine HassettLiverpool Hospital and Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia, and University of New South Wales, Medicine and Health, Sydney, New South Wales, Australia.
Paul BirdUniversity of New South Wales, Medicine and Health, Kensington, Sydney, New South Wales, Australia.
Theodore PincusRush University School of Medicine, Chicago, Illinois.ORCID https://orcid.org/0000-0002-8998-8865
Joseph DescallarIngham Institute for Applied Medical Research, Liverpool, New South Wales, Australia, and University of New South Wales, Medicine and Health, Sydney, New South Wales, Australia.
Kathryn A GibsonLiverpool Hospital and Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia, and University of New South Wales, Medicine and Health, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2331-0311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze a RheuMetric checklist, which includes four feasible physician 0 to 10 scores for DOCGL, inflammation (DOCINF), damage (DOCDAM), and distress (DOCSTR) for criterion and discriminant validity against standard reference measures.

methodsA prospective, cross-sectional assessment was performed at one routine care visit at Liverpool Hospital, Sydney, Australia. Rheumatologists recorded DOCGL, DOCINF, DOCDAM, DOCSTR, and 28 joint counts for swelling (SJC), tenderness (TJC), and limited motion/deformity (DJC). Patients completed a multidimensional health assessment questionnaire (MDHAQ), which includes routine assessment of patient index data (RAPID3), fibromyalgia assessment screening tool (FAST4), and MDHAQ depression screen (MDS2). Laboratory tests and radiographic scores were recorded. RheuMetric estimates of inflammation, damage, and distress were compared with reference and other measures using correlations and linear regressions.

resultsIn 173 patients with RA, variation in RheuMetric DOCINF was explained significantly by SJC and inversely by disease duration; variation in DOCDAM was explained significantly by DJC, radiographic scores, and physical function; and variation in DOCSTR was explained significantly by fibromyalgia and depression.

conclusionRheuMetric DOCINF, DOCDAM, and DOCSTR estimates were correlated significantly and specifically with reference measures of inflammation, damage, and distress, documenting criterion and discriminant validity.

Identifiers

PMID37608509
PMCPMC10570671

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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.