Evidence map›Paper›PMID 41131836›Full record

ArticleJournal of clinical laboratory analysis2025

Predictive Value of Laboratory Assays Toward Autoimmune Diseases.

Kellen J Begeman, Mark J White, Elizabeth S Moore, Heidi H Ewen

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kellen J BegemanUniversity of Indianapolis, Indianapolis, Indiana, USA.ORCID https://orcid.org/0009-0008-7079-9950
Mark J WhiteUniversity of Indianapolis, Indianapolis, INLabcorp, Burlington, NC, USA.
Elizabeth S MooreUniversity of Indianapolis, Indianapolis, Indiana, USA.
Heidi H EwenUniversity of Indianapolis, Indianapolis, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWith an increasing number of unmet medical needs for autoimmune diseases (AD) in the United States, it is important to assess the value of laboratory assays in diagnosis. Healthcare providers must understand general and specific laboratory results that can lead to an efficient diagnosis.

methodsA nonexperimental study using a retrospective design and data collected between 2018 and 2021 was completed to explore whether the presence of positive anti-ENA and anti-dsDNA antibodies in individuals with an autoimmune disorder (anti-ENA, N = 1495; anti-dsDNA, N = 1261) can be predicted by their demographics and selected general laboratory test results.

resultsFor predicting anti-ENA, multiple logistic regression analysis χ

conclusionIn diagnosing an AD, ANA, complement C3, globulin, MLR, and BUN are important factors in patients with a positive anti-ENA. In determining Systemic Lupus Erythematosus diagnosis, complement C3, complement C4, pH, urine protein, and NLR are important factors in patients with a positive anti-dsDNA.

Indexed as

Autoimmune DiseasesClinical Laboratory TechniquesAdultAgedAntibodies, AntinuclearComplement C3Complement C4FemaleHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsRetrospective StudiesYoung AdultAntibodies, AntinuclearComplement C3Complement C4anti‐nuclear antibodyautoimmune diseaseblood urea nitrogencomplement c3complement c4globulinmonocyte‐to‐lymphocyte rationeutrophil‐to‐lymphocyte ratiopHurine protein

Identifiers

PMID41131836
PMCPMC12618185

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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.