Evidence map›Paper›PMID 22072115›Full record

ArticleJournal of clinical immunology2012

Second generation automated anti-CCP test better predicts the clinical diagnosis of rheumatoid arthritis.

Mohamed Elrefaei, Kristie Boose, Martha McGee, Teresa K Tarrant, Feng-Chang Lin, Jason P Fine, John L Schmitz

Abstract read
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In one paragraph

Article in Journal of clinical immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

7 authors at 2 institutions in 1 country.

Mohamed ElrefaeiMcLendon Clinical Laboratories, University of North Carolina Hospitals, Chapel Hill, NC, USA. moee@psbc.org
Kristie Boose
Martha McGee
Teresa K Tarrant
Feng-Chang Lin
Jason P Fine
John L Schmitz
University of North Carolina Hospitals · USUniversity of North Carolina at Chapel Hill · US

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
NCRR NIH HHS UL1RR025747
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is one of the most common systemic autoimmune diseases. The presence of antibodies to cyclic citrullinated peptide (CCP) is better at discriminating RA patients and is also associated with significantly more disease activity compared to serum rheumatoid factor. In this study, we assessed two new automated second generation tests to detect the presence of anti-CCP antibodies in 226 serum samples submitted to the Clinical Immunology Laboratory for anti-CCP antibody testing. We compared CCP antibody results on these samples obtained using the ImmunoCAP 250 (Phadia) and the Architect i2000SR (Abbott Laboratories) instruments to our currently used CCP IgG third generation manual ELISA (Inova Diagnostics). One hundred and fifty-four samples were negative while 52 were positive by all three tests. Eighteen samples were negative by the automated tests but weakly/moderately positive by manual ELISA yielding an overall concordance of 79%. When we compared the discordant test results to patient diagnosis, we observed a better correlation with clinical RA diagnosis for the new automated tests compared to the manual ELISA. These two new anti-CCP antibody tests have the benefit of automation and may have better positive predictive value for the diagnosis of RA than our current manual ELISA.

Indexed as

AdultAgedAged, 80 and overArthritis, RheumatoidAutoantibodiesAutomation, LaboratoryEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoassayMaleMiddle AgedPeptides, CyclicSensitivity and SpecificityYoung AdultAutoantibodiescyclic citrullinated peptidePeptides, Cyclic

Identifiers

PMID22072115
OpenAlexW2051395111

What OpenQuestion holds

Textmetadata
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.