Evidence map›Paper›PMID 30127326›Full record

ArticleBiomolecules2018

Testosterone Levels and Type 2 Diabetes-No Correlation with Age, Differential Predictive Value in Men and Women.

Mahir Karakas, Sarina Schäfer, Sebastian Appelbaum, Francisco Ojeda, Kari Kuulasmaa, Burkhard Brückmann, Filip Berisha, Benedikt Schulte-Steinberg, Pekka Jousilahti, Stefan Blankenberg and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  16. Effect of Coenzyme QBiomolecules · 2018
    Review
  17. Ginger and Testosterone.Biomolecules · 2018
    Review
  18. 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

13 authors at 2 institutions in 5 countries.

Mahir KarakasDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. m.karakas@uke.de.
Sarina SchäferDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. sar.schaefer@uke.de.
Sebastian AppelbaumDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. sebastian.appelbaum@tu-dortmund.de.
Francisco OjedaDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. f.ojeda-echevarria@uke.de.
Kari KuulasmaaNational Institute for Health and Welfare, 00271 Helsinki, Finland. kari.kuulasmaa@thl.fi.
Burkhard BrückmannDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. Burkhard.Brueckmann@uk-erlangen.de.
Filip BerishaDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. f.berisha@uke.de.
Benedikt Schulte-SteinbergDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. b.schulte-steinberg@uke.de.
Pekka JousilahtiNational Institute for Health and Welfare, 00271 Helsinki, Finland. pekka.jousilahti@thl.fi.
Stefan BlankenbergDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. s.blankenberg@uke.de.
Tarja PalosaariNational Institute for Health and Welfare, 00271 Helsinki, Finland. tarja.palosaari@thl.fi.
Veikko SalomaaNational Institute for Health and Welfare, 00271 Helsinki, Finland. veikko.salomaa@thl.fi.ORCID 0000-0001-7563-5324
Tanja ZellerDepartment of General and Interventional Cardiology, University Heart Center, 20246 Hamburg, Germany. t.zeller@uke.de.
Universität Hamburg · DEFinnish Institute for Health and Welfare · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most studies reporting on the association of circulating testosterone levels with type 2 diabetes in men are of cross-sectional design. Reports on the relevance of altered testosterone levels in women are scarce. Here, we evaluate the role of low serum testosterone levels for incident diabetes in men and women in a population setting of 7706 subjects (3896 females). During a mean follow up time of 13.8 years, 7.8% developed type 2 diabetes. Significant correlations of testosterone with high density lipoprotein (HDL)-cholesterol (

Indexed as

AdultAgedAgingDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPredictive Value of TestsTestosteroneTestosteroneagediabetesmenprognosistestosteronewomen

Identifiers

PMID30127326
PMCPMC6165105
OpenAlexW2888632732

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.