Evidence map›Paper›PMID 24527209›Full record

ArticleAutoimmune diseases2014

Evaluation of a multiplex ELISA for autoantibody profiling in patients with autoimmune connective tissue diseases.

Alejandro Caro Pérez, Sarita Kumble, Krishnanand D Kumble, M Consuelo Alonso Cañizal, Luis M Jiménez Jiménez, Lorena Alonso Díez, Pilar Durán Parejo

Open access · goldAbstract read
In one paragraph

Article in Autoimmune diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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.

Alejandro Caro PérezGennova Research, Gennova Scientific S.L. Seville, Spain.
Sarita KumblePictor Limited, Auckland, New Zealand.
Krishnanand D KumblePictor Limited, Auckland, New Zealand.
M Consuelo Alonso CañizalGennova Research, Gennova Scientific S.L. Seville, Spain.
Luis M Jiménez JiménezDepartment of Metabolopathy, Hospital Virgen del Rocio, Seville, Spain.
Lorena Alonso DíezGennova Research, Gennova Scientific S.L. Seville, Spain.
Pilar Durán ParejoDepartment of Metabolopathy, Hospital Virgen del Rocio, Seville, Spain.
Aernnova (Spain) · ESHospital Universitario Virgen del Rocío · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of immunoassays for the detection of autoantibodies is of critical importance in the diagnosis and assessment of patients with autoimmune connective tissue diseases (ACTD). Our objective was to compare the features of two multiplexed assays-INNO-LIA ANA and Gennova-PictArray ENA ELISA-for measurement of multiple autoantibodies and their utility as a clinical tool in ACTD diagnosis. The antigens included SS-A/Ro (60 and 52), SSB/La, Sm, Sm/RNP, CENP-B, Jo-1, and Scl-70. Stored sera from 85 ACTD patients and 80 controls consisting of patients with vasculitis, rheumatoid arthritis and infectious diseases, as well as healthy subjects were analyzed jointly with clinical and laboratory data. Agreement between the two methods varied between 58 and 99% (Cohen's kappa: 0.21-0.71) mostly for SSA and SSB. The frequency of specific autoantibodies measured using the two methods was more variable for SSA, SSB, and RNP/Sm. There were a higher number of ambiguous results when using INNO-LIA. The optimized cut-off values of the Gennova-PictArray resulted in over 99% specificities in samples obtained from the control group. Sensitivity patterns were more accurate in Gennova-PictArray than in INNO-LIA, as suggested in previously reported studies. A third method could be applied to determine which of the two methods is more accurate.

Identifiers

PMID24527209
PMCPMC3914292
OpenAlexW2046693749

What OpenQuestion holds

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LicenceCC BY
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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.