Evidence map›Paper›PMID 24589329›Full record

ReviewBMC medicine2014

Automated tests of ANA immunofluorescence as throughput autoantibody detection technology: strengths and limitations.

Pier Luigi Meroni, Nicola Bizzaro, Ilaria Cavazzana, Maria Orietta Borghi, Angela Tincani

Open access · goldAbstract readEditorialReview
In one paragraph

Review in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
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  3. NETs: a new target for autoimmune disease.Frontiers in immunology · 2025
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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

5 authors at 5 institutions in 1 country.

Pier Luigi MeroniDepartment of Clinical Sciences & Community Health, University of Milan, Milan, Italy. pierluigi.meroni@unimi.it.
Nicola Bizzaro
Ilaria Cavazzana
Maria Orietta Borghi
Angela Tincani
Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITIRCCS Istituto Auxologico Italiano · ITOspedale Sant Antonio · ITUniversity of Brescia · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-nuclear antibody (ANA) assay is a screening test used for almost all autoimmune rheumatic diseases, and in a number of these cases, it is a diagnostic/classification parameter. In addition, ANA is also a useful test for additional autoimmune disorders. The indirect immunofluorescence technique on monolayers of cultured epithelial cells is the current recommended method because it has higher sensitivity than solid phase assays. However, the technique is time-consuming and requires skilled operators. Automated ANA reading systems have recently been developed, which offer the advantage of faster and much easier performance as well as better harmonization in the interpretation of the results. Preliminary validation studies of these systems have given promising results in terms of analytical specificity and reproducibility. However, these techniques require further validation in clinical studies and need improvement in their recognition of mixed or less common staining patterns.

Indexed as

AnimalsAntibodies, AntinuclearAutoantibodiesAutoimmune DiseasesAutomation, LaboratoryFluorescent Antibody Technique, IndirectHumansReproducibility of ResultsAntibodies, AntinuclearAutoantibodies

Identifiers

PMID24589329
PMCPMC3939809
OpenAlexW2060914843

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.