Evidence map›Paper›PMID 31829260›Full record

ArticleArthritis research & therapy2019

Improved RA classification among early arthritis patients with the concordant presence of three RA autoantibodies: analysis in two early arthritis clinics.

Cristina Regueiro, Lorena Rodríguez-Martínez, Laura Nuño, Ana M Ortiz, Alejandro Villalba, Dora Pascual-Salcedo, Ana Martínez-Feito, Isidoro González-Alvaro, Alejandro Balsa, Antonio Gonzalez

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Cristina RegueiroExperimental and Observational Rheumatology and Rheumatology Unit, Instituto de Investigacion Sanitaria-Hospital Clínico Universitario de Santiago (IDIS), 15706, Santiago de Compostela, Spain.
Lorena Rodríguez-MartínezExperimental and Observational Rheumatology and Rheumatology Unit, Instituto de Investigacion Sanitaria-Hospital Clínico Universitario de Santiago (IDIS), 15706, Santiago de Compostela, Spain.
Laura NuñoRheumatology Department, Instituto de Investigación Hospital Universitario La Paz (IDIPAZ), 28046, Madrid, Spain.
Ana M OrtizRheumatology Department, Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria la Princesa (IIS-lP), 28006, Madrid, Spain.
Alejandro VillalbaRheumatology Department, Instituto de Investigación Hospital Universitario La Paz (IDIPAZ), 28046, Madrid, Spain.
Dora Pascual-SalcedoRheumatology Department, Instituto de Investigación Hospital Universitario La Paz (IDIPAZ), 28046, Madrid, Spain.
Ana Martínez-FeitoImmuno-Rheumatology Department, Instituto de Investigación Hospital Universitario La Paz (IDIPAZ), 28046, Madrid, Spain.
Isidoro González-AlvaroRheumatology Department, Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria la Princesa (IIS-lP), 28006, Madrid, Spain.
Alejandro BalsaRheumatology Department, Instituto de Investigación Hospital Universitario La Paz (IDIPAZ), 28046, Madrid, Spain.
Antonio GonzalezExperimental and Observational Rheumatology and Rheumatology Unit, Instituto de Investigacion Sanitaria-Hospital Clínico Universitario de Santiago (IDIS), 15706, Santiago de Compostela, Spain. agmartinezp@ser.es.ORCID http://orcid.org/0000-0002-2624-0606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe patients with RA benefit from early identification soon after the first clinical symptoms appear. The 2010 ACR/EULAR classification criteria were developed to fulfill this need and their application has been demonstrated to be effective. However, there is still room for improvement. Therefore, we aimed to evaluate the potential of the concordant presence of RF, anti-CCP and anti-carbamylated protein antibodies to improve current RA classification among early arthritis (EA) patients.

methodsData from the first visit of 1057 patients in two EA prospective cohorts were used. The serological scores from the 2010 ACR/EULAR criteria and the concordant presence of the three RA autoantibodies were assessed relative to a gold standard consisting of the RA classification with the 1987 ACR criteria at the 2 years of follow-up.

resultsThe concordant presence of three antibodies showed predictive characteristics allowing for direct classification as RA (positive predictive value = 96.1% and OR = 80.9). They were significantly better than the corresponding to the high antibody titers defined as in the 2010 classification criteria (PPV = 88.8%, OR = 26.1). In addition, the concordant presence of two antibodies was also very informative (PPV = 82.3%, OR = 15.1). These results allowed devising a scoring system based only on antibody concordance that displayed similar overall performance as the serological scoring system of the 2010 criteria. However, the best classification was obtained combining the concordance and 2010 serological systems, a combination with a significant contribution from each of the two systems. DISCUSSION: The concordant presence of RA autoantibodies showed an independent contribution to the classification of EA patients that permitted increased discrimination and precision.

Indexed as

Arthritis, RheumatoidAutoantibodiesAutoantigensHumansAutoantibodiesAutoantigensAnti-carbamylated protein antibodiesAnti-citrullinated protein antibodiesAutoantibodiesDisease classificationEarly arthritisRheumatoid arthritisRheumatoid factor

Identifiers

PMID31829260
PMCPMC6907192

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.