Evidence map›Paper›PMID 20012869›Full record

ArticleRheumatology international2010

Gender differences in the relationship of anti-parvovirus B19 IgG with antinuclear antibody and C-reactive protein in clinical adult serum samples.

Thomas A O'Bryan, Stanley J Naides

Abstract read
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In one paragraph

Article in Rheumatology international, 2010. 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
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Thomas A O'BryanDivision of General Internal Medicine, Department of Medicine, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA 17033, USA. tobryan@hmc.psu.edu
Stanley J Naides
Pennsylvania State University · USQuest Diagnostics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human parvovirus B19 (B19) infection is often suspected as an etiologic agent in a variety of rheumatologic diseases. It has been hypothesized that this virus potentially induces immune dysregulation by abnormal cytokine expression in susceptible hosts. The objective of this study is to examine the relationship between anti-parvovirus B19 IgG antibody (B19 IgG) and two common markers of immune dysregulation-antinuclear antibody (ANA) and C-reactive protein (CRP) in clinical sera. Qualitative B19 IgG antibody and levels of high-sensitivity CRP were determined in adult serum samples submitted to a university hospital clinical laboratory for ANA testing. Prevalence of B19 IgG was compared among groups by ANA status and CRP tertile. B19 IgG was detected in 72.3% of 318 samples. Among women above the first quartile of age (>38 years), presence of B19 IgG was associated with CRP tertile rank (P = 0.008) and CRP levels > or =1 mg/L (P = 0.001) independent of age and ANA status. B19 IgG was less frequent in ANA-positive than ANA-negative women < or =38 years of age (P = 0.009). Viral antibody was not associated with either biomarker in men. These data suggest parvovirus B19 infection may be associated with chronic inflammation in some women after the third decade of life.

Indexed as

AdolescentAdultAgedAged, 80 and overAntibodies, AntinuclearAntibodies, ViralBiomarkersC-Reactive ProteinFemaleHumansImmunoglobulin GMaleMiddle AgedParvoviridae InfectionsParvovirus B19, HumanSex FactorsAntibodies, AntinuclearAntibodies, ViralBiomarkersC-Reactive ProteinImmunoglobulin G

Identifiers

PMID20012869
OpenAlexW2055147114

What OpenQuestion holds

Textmetadata
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.