Evidence map›Paper›PMID 27091838›Full record

ArticleInternational journal of immunopathology and pharmacology2016

Hyperestrogenism and low serum testosterone-17β-estradiol ratio are associated with non-bacterial male accessory gland inflammation.

Rosita A Condorelli, Aldo E Calogero, Sandro La Vignera

Open access · bronzeAbstract readLetter
In one paragraph

Article in International journal of immunopathology and pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

3 authors at 1 institution in 1 country.

Rosita A CondorelliDepartment of Clinical and Experimental Medicine, University of Catania, Italy.
Aldo E CalogeroDepartment of Clinical and Experimental Medicine, University of Catania, Italy.
Sandro La VigneraDepartment of Clinical and Experimental Medicine, University of Catania, Italy sandrolavignera@unict.it.
University of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the serum concentrations of the main sex hormones in selected patients with non-bacterial male accessory gland infection (MAGI). The results suggest that the mean serum concentrations of 17β-estradiol (method : chemiluminescence) in these patients are significantly higher compared to the controls (55.0 ± 15.0 vs. 26.5 ± 12.0 pg/mL; P <0.05) and the percentage of patients with MAGI and associated hyperestrogenism (according to the laboratory range used in this study) was significantly higher (25.00% vs. 3.00%; P <0.05). Moreover, the percentage of patients with non-bacterial MAGI and associated testosterone deficiency (serum total testosterone <2.49 ng/mL) was significantly higher (18.00% vs. 2.00%; P <0.05). Finally, patients with non-bacterial MAGI showed a significantly lower total testosterone-17β-estradiol ratio compared to the controls (72.7 vs. 173.0; P <0.05). The results of this study, with some limitations (in particular the method applied for the determination of serum concentrations of 17β-estradiol) represent in our opinion, a topic worthy of further investigation for a correct endocrinological characterization of these patients, useful for clinical practice.

Indexed as

AdultCase-Control StudiesEstradiolHumansInfertility, MaleInflammationMaleTestosteroneEstradiolTestosterone17β-estradiolmale accessory gland infection (MAGI)total testosterone

Identifiers

PMID27091838
PMCPMC5806754
OpenAlexW2337248829

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.