Evidence map›Paper›PMID 24599677›Full record

ArticleClinical rheumatology2014

Visualization of DAS28, SDAI, and CDAI: the magic carpets of rheumatoid arthritis.

Gábor Futó, Attila Somogyi, Zoltán Szekanecz

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Smartphone Data in Rheumatoid Arthritis - What Do Rheumatologists Want?AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
    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

3 authors.

Gábor FutóDepartment of Rheumatology, Institute of Medicine, University of Debrecen Medical and Health Science Center, Nagyerdei str 98, Debrecen, 4032, Hungary.
Attila Somogyi
Zoltán Szekanecz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been continuous debate regarding the applicability of various composite measures for the assessment of disease activity in rheumatoid arthritis (RA). In order to further dissect this issue, we numerically and graphically modeled 28-joint disease activity scale (DAS28), simplified disease activity index (SDAI), and clinical disease activity index (CDAI) by three-dimensional (3D) plotting. We wished to graphically visualize the relative contribution of various elements in the three activity indices to each other. We calculated DAS28 (3 variables), SDAI, and CDAI by the standard equations. We plotted 3D "carpets" showing all combinations of the corresponding variables yielding to DAS28 = 5.1, DAS28 = 3.2, DAS28 = 2.6, SDAI = 26, SDAI = 11, and SDAI = 3.3. We also plotted the 3D carpet for CDAI. In patients with high or moderate disease activity, erythrocyte sedimentation rate (ESR) or C-reactive protein (CRP) was not a major confounding factor when calculating DAS28 and SDAI, respectively. In contrast, ESR and CRP highly overshadowed changes in joint counts and global assessments in patients with low disease activity (LDA) or those in remission. No reliable assessment of LDA can be performed in cases where ESR >54 mm/h or CRP >20 mg/dl. Similarly, remission cannot be determined if ESR >19 mm/h or CRP >5 mg/dl. As CDAI does not include acute phase reactants, CDAI may be a useful tool even in states of remission or LDA. Our results suggest that acute phase reactants are indeed major confounding factors and should be omitted when assessing RA disease activity at least in special cases.

Indexed as

Severity of Illness IndexAntirheumatic AgentsArthritis, RheumatoidBlood SedimentationC-Reactive ProteinHumansInflammationJointsReproducibility of ResultsRheumatologyAntirheumatic AgentsC-Reactive Protein

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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.