Evidence map›Paper›PMID 29662880›Full record

ArticleFrontiers in medicine2018

Common Evaluations of Disease Activity in Rheumatoid Arthritis Reach Discordant Classifications across Different Populations.

Helena Canhão, Ana Maria Rodrigues, Maria João Gregório, Sara S Dias, José António Melo Gomes, Maria José Santos, Augusto Faustino, José António Costa, Cornelia Allaart, Emilia Gvozdenović and 5 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

15 authors.

Helena CanhãoCEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal.
Ana Maria RodriguesCEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal.
Maria João GregórioCEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal.
Sara S DiasCEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal.
José António Melo GomesInstituto Português de Reumatologia, Lisbon, Portugal.
Maria José SantosRheumatology Research Unit, Instituto de Medicina Molecular, Lisbon Academic Medical Center, Lisbon, Portugal.
Augusto FaustinoInstituto Português de Reumatologia, Lisbon, Portugal.
José António CostaCentro Hospitalar Alto Minho, Ponte de Lima, Portugal.
Cornelia AllaartRheumatology Department, Leiden University Medical Center, Leiden, Netherlands.
Emilia GvozdenovićRheumatology Department, Leiden University Medical Center, Leiden, Netherlands.
Desirée van der HeijdeRheumatology Department, Leiden University Medical Center, Leiden, Netherlands.
Pedro MachadoCentre for Rheumatology Research, MRC Centre for Neuromuscular Diseases, University College London, London, United Kingdom.
Jaime C BrancoCEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal.
João Eurico FonsecaRheumatology Research Unit, Instituto de Medicina Molecular, Lisbon Academic Medical Center, Lisbon, Portugal.
José António SilvaFaculdade de Medicina da Universidade de Coimbra, Centro Hospitalar Universitário de Coimbra, Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe classification of disease activity states in rheumatoid arthritis (RA) can be achieved through disease activity indices, such as the Disease Activity Score in 28 joints erythrocyte sedimentation rate (DAS28-ESR), the Simplified Disease Activity Index (SDAI), and the Clinical Disease Activity Index (CDAI). Subjective measurements, such as patient reported outcomes have been incorporated into several of these indices alongside more objective assessments, such as increases in the ESR and C-reactive protein. Moreover, while they use similar criteria, different indices weight these criteria to different extents. Therefore, the classifications based on each evaluation may not always be the same. We aim to compare the performance of the three indices and their individual components in two different populations.

methodsData from Dutch and Portuguese adherent centers were extracted from the METEOR database, a multinational collaboration on RA. We included a total of 24,605 visits from Dutch centers (from 5,870 patients) and 20,120 visits from Portuguese centers (from 3,185 patients). We compared the disease activity states as evaluated by the DAS28-ESR, CDAI, and SDAI across the two populations. In addition, we analyzed the individual components of each evaluation, including their respective contributions to the outcome, in each population.

resultsWe found significant differences in the disease activity states classified with the DAS28-ESR between the two populations. SDAI and CDAI had more congruous results. While the proportion of visits to Dutch and Portuguese centers that were classified as "in remission" was very similar between the CDAI and SDAI, the DAS28-ESR gave discordant results. Dutch patients had lower ESRs, which is more heavily weighted in the DAS28-ESR. In addition, even though the mean physicians' global assessment values did not vary significantly for Dutch vs Portuguese physicians, we found that doctors at Portuguese centers overall scored the physician's global assessment lower than Dutch physicians for patient visits classified by disease activity state.

conclusionWhile the CDAI and SDAI assigned disease activity states that were largely similar, the DAS28-ESR was often discordant across the two populations. Moreover, we found that physicians, more than patients, evaluated disease activity differently among the Portuguese and Dutch populations.

Indexed as

acute phase reactantsDAS28-ESRdisease activityMETEORpatient reported outcomesphysicians’ perspectiverheumatoid arthritis

Identifiers

PMID29662880
PMCPMC5890148

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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.