Evidence map›Paper›PMID 26693225›Full record

ArticleInternational journal of endocrinology2015

Sexual Dimorphisms of Adrenal Steroids, Sex Hormones, and Immunological Biomarkers and Possible Risk Factors for Developing Rheumatoid Arthritis.

Alfonse T Masi, Azeem A Rehman, Laura C Jorgenson, Jennifer M Smith, Jean C Aldag

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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 2 institutions in 1 country.

Alfonse T MasiDepartment of Medicine, University of Illinois College of Medicine at Peoria (UICOMP), One Illini Drive, Peoria, IL 61656, USA.
Azeem A RehmanUniversity of Illinois College of Medicine at Peoria, Peoria, IL 61656, USA.
Laura C JorgensonUniversity of Illinois College of Medicine at Peoria, Peoria, IL 61656, USA.
Jennifer M SmithUniversity of Illinois College of Medicine at Peoria, Peoria, IL 61656, USA.
Jean C AldagUniversity of Illinois College of Medicine at Peoria, Peoria, IL 61656, USA.
University of Illinois Urbana-Champaign · USIllinois College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innate immunity and immunological biomarkers are believed to be interrelated with sex hormones and other neuroendocrine factors. Sexual dimorphism mechanisms may be operating in certain rheumatic and inflammatory diseases which occur more frequently in women than men, as rheumatoid arthritis (RA). Less data have been available on altered interrelations of the combined neuroendocrine and immune (NEI) systems as risk factors for development of certain diseases. In this study, serological interrelations of NEI biomarkers are analyzed before symptomatic onset of RA (pre-RA) versus control (CN) subjects, stratified by sex. Sexual dimorphism was found in serum levels of acute serum amyloid A (ASAA), soluble interleukin-2 receptor alpha (sIL-2Rα), and soluble tumor necrosis factor receptor 1 (sTNF-R1). Multiple steroidal and hormonal (neuroendocrine) factors also showed highly (p < 0.001) significant sexual dimorphism in their assayed values, but less for cortisol (p = 0.012), and not for 17-hydroxyprogesterone (p = 0.176). After stratification by sex and risk of developing RA, differential NEI correlational patterns were observed in the interplay of the NEI systems between the pre-RA and CN groups, which deserve further investigation.

Identifiers

PMID26693225
PMCPMC4674595
OpenAlexW2172891703

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LicenceCC BY
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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.