Evidence map›Paper›PMID 27943044›Full record

ArticleClinical rheumatology2017

Anti-MCV antibodies predict radiographic progression in Greek patients with very early (<3 months duration) rheumatoid arthritis.

Georgia Barouta, Christina G Katsiari, Ioannis Alexiou, Christos Liaskos, Areti Varna, Dimitrios P Bogdanos, Anastasios E Germenis, Lazaros I Sakkas

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2017. 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
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in immunology · 2021
    Article
  4. Article
  5. Review
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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

8 authors at 2 institutions in 1 country.

Georgia BaroutaDepartment of Rheumatology and Clinical Immunology, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Biopolis, 41 110, Larissa, Greece.
Christina G KatsiariDepartment of Rheumatology and Clinical Immunology, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Biopolis, 41 110, Larissa, Greece.
Ioannis AlexiouDepartment of Rheumatology and Clinical Immunology, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Biopolis, 41 110, Larissa, Greece.
Christos LiaskosDepartment of Rheumatology and Clinical Immunology, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Biopolis, 41 110, Larissa, Greece.
Areti VarnaDepartment of Rheumatology and Clinical Immunology, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Biopolis, 41 110, Larissa, Greece.
Dimitrios P BogdanosDepartment of Rheumatology and Clinical Immunology, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Biopolis, 41 110, Larissa, Greece.
Anastasios E GermenisDepartment of Immunology & Histocompatibility, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Larissa, Greece.
Lazaros I SakkasDepartment of Rheumatology and Clinical Immunology, Faculty of Medicine, University of Thessaly and University General Hospital of Larissa, Biopolis, 41 110, Larissa, Greece. lsakkas@med.uth.gr.
University Hospital of Larissa · GRUniversity of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the diagnostic and prognostic value of anti-mutated citrullinated vimentin (MCV) antibodies in very early rheumatoid arthritis (VERA) and in established rheumatoid arthritis (RA). Seventy-one patients with undifferentiated arthritis (UA) of <3 months duration, 141 with established RA, 53 with other rheumatic diseases, and 40 healthy individuals were included in the study. Anti-MCV, anti-cyclic citrullinated peptide (CCP) antibodies, and rheumatoid factor (RF) were determined and hand radiographs were recorded. Patients were assessed prospectively for 2 years, and hand radiographs were repeated. Diagnostic performance of anti-MCV was studied with receiver operating characteristic (ROC) curves and evaluation of sensitivity, specificity, and likelihood ratios. Forty-six percent of UA patients progressed to RA at 2 years. In VERA patients, sensitivity of anti-MCV was 52 %, compared to 44 % of anti-CCP and 37 % of RF, while specificity was 91 %, compared to 91 % of RF and 84 % of anti-CCP. Anti-MCV were detected in 25 % of VERA patients negative for both anti-CCP and RF. In established RA, anti-MCV did not sustain its diagnostic performance. By multivariable analysis, anti-MCV, but not anti-CCP or RF, showed significant correlation with radiographic progression in VERA patients. In established RA, anti-MCV, anti-CCP, and RF were associated with active disease (p ≤ 0.03) and joint damage (p ≤ 0.004). By multivariate analysis, the strongest factors for radiographic damage were disease duration (p = 0.000), HAQ score (p = 0.000), and RF (p = 0.002). In conclusion, in patients with very early UA, anti-MCV predict both progression to RA and radiological damage, and therefore, anti-MCV antibody testing may be useful in every day practice.

Indexed as

Disease ProgressionAdultAgedAged, 80 and overArthritisArthritis, RheumatoidAutoantibodiesCase-Control StudiesFemaleGreeceHandHumansLinear ModelsMaleMiddle AgedPeptides, CyclicAutoantibodiesPeptides, CyclicRheumatoid FactorVimentinAnti-CCP antibodiesAnti-vimentin antibodiesRadiographic progressionRheumatoid factorVery early rheumatoid arthritis

Identifiers

PMID27943044
OpenAlexW2559792558

What OpenQuestion holds

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Read underepoch 390

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.