Evidence map›Paper›PMID 30238164›Full record

ArticleAuto- immunity highlights2018

Performance analysis of automated evaluation of antinuclear antibody indirect immunofluorescent tests in a routine setting.

Joyce J B C van Beers, Melanie Hahn, Johanna Fraune, Kathleen Mallet, Christopher Krause, Wymke Hormann, Kai Fechner, Jan G M C Damoiseaux

Abstract read
In one paragraph

Article in Auto- immunity highlights, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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.

Joyce J B C van BeersCentral Diagnostic Laboratory, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands.ORCID http://orcid.org/0000-0002-7865-5272
Melanie HahnInstitute for Experimental Immunology, EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560, Lübeck, Germany.
Johanna FrauneInstitute for Experimental Immunology, EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560, Lübeck, Germany.
Kathleen MalletCentral Diagnostic Laboratory, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands.
Christopher KrauseInstitute for Experimental Immunology, EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560, Lübeck, Germany.
Wymke HormannInstitute for Experimental Immunology, EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560, Lübeck, Germany.
Kai FechnerInstitute for Experimental Immunology, EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560, Lübeck, Germany.
Jan G M C DamoiseauxCentral Diagnostic Laboratory, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands. jan.damoiseaux@mumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIndirect immunofluorescence (IIF) on the human epithelial cell-line HEp-2 (or derivatives) serves as the gold standard in antinuclear antibody (ANA) screening. IIF, and its evaluation, is a labor-intensive method, making ANA testing a major challenge for present clinical laboratories. Nowadays, several automated ANA pattern recognition systems are on the market. In the current study, the EUROPattern Suite is evaluated for its use in daily practice in a routine setting.

methodsA total of 1033 consecutive routine samples was used to screen for ANA. Results (positive/negative ANA screening, pattern identification and titer) were compared between software-generated results (EUROPattern) and visual interpretation (observer) of automatically acquired digital images.

resultsConsidering the visual interpretation as reference, a relative sensitivity of 99.3% and a relative specificity of 88.9% were obtained for negative and positive discrimination by the software (EPa). A good agreement between visual and software-based interpretation was observed with respect to pattern recognition (mean kappa: for 7 patterns: 0.7). Interestingly, EPa software distinguished more patterns per positive sample than the observer (on average 1.5 and 1.2, respectively). Finally, a concordance of 99.3% was observed within the range of 1 titer step difference between EPa and observer.

conclusionsThe ANA IIF results reported by the EPa software are in very good agreement with the results reported by the observer with respect to being negative/positive, pattern recognition and titer, making automated ANA IIF evaluation an objective and time-efficient tool for routine testing.

Indexed as

Antinuclear antibodies (ANA)AutoantibodiesAutomationComputer-aided microscopyIndirect immunofluorescence (IIF)

Identifiers

PMID30238164
PMCPMC6147779

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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.