Evidence map›Paper›PMID 31777823›Full record

ArticleACR open rheumatology2019

Diagnostic Accuracy of Anticarbamylated Protein Antibodies in Established Rheumatoid Arthritis: A Monocentric Cross-Sectional Study.

G L Erre, N Mundula, E Colombo, A A Mangoni, L A Sechi, M Oggiano, R Irde, A Zinellu, G Passiu, C Carru

Open access · goldAbstract read
In one paragraph

Article in ACR open rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 2 countries.

G L ErreAzienda Ospedaliero-Universitaria di Sassari Sassary Italy.ORCID https://orcid.org/0000-0001-6818-7666
N MundulaUniversità degli Studi di Sassari Sassari Italy.
E ColomboUniversità degli Studi di Sassari Sassari Italy.
A A MangoniFlinders University and Flinders Medical Centre Adelaide Australia.
L A SechiUniversità degli Studi di Sassari Sassari Italy.
M OggianoAzienda Ospedaliero-Universitaria di Sassari Sassary Italy.
R IrdeOspedale San Martino di Oristano Oristano Italy.
A ZinelluUniversità degli Studi di Sassari Sassari Italy.
G PassiuAzienda Ospedaliero-Universitaria di Sassari Sassary Italy.
C CarruUniversità degli Studi di Sassari Sassari Italy.
University of Sassari · ITAzienda Ospedaliero Universitaria di Sassari · ITFlinders University · AUFondazione Centro Marino Internazionale · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic accuracy of anticarbamylated protein antibodies (CarP), alone and in combination with traditional biomarkers (rheumatoid factor [RF] and anticitrullinated peptide antibodies [ACPA]), in established rheumatoid arthritis (RA).

methodsA commercially available enzyme-linked immunosorbent assay (ELISA) kit was used to assess CarP concentrations in serum samples of 200 established RA and 206 controls (115 healthy donors and 55 patients with other rheumatic diseases). Main outcome measures were sensitivity, specificity, and area under the curve (AUC; 95% confidence interval [CI]). Difference in accuracy was evaluated by comparison of the respective AUCs.

resultsA serum CarP cut-off of 1.47 ng/ml or more differentiated patients with RA from controls with 30% sensitivity, 97.1% specificity, and good accuracy (AUC[95%CI] = 0.83[0.79-0.86],

conclusionCarP has good diagnostic accuracy in established RA but not in seronegative RA. The addition of CarP to ACPA and RF alone or in combination does not significantly enhance the diagnostic accuracy of ACPA_RF combination.

Identifiers

PMID31777823
PMCPMC6858018
OpenAlexW2969121259

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.