Evidence map›Paper›PMID 29233816›Full record

ArticleEndocrine connections2018

Testosterone level and risk of type 2 diabetes in men: a systematic review and meta-analysis.

Qiu-Ming Yao, Bin Wang, Xiao-Fei An, Jin-An Zhang, Liumei Ding

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
3.9field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. Pooled it
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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.

Qiu-Ming YaoDepartment of EndocrinologyJinshan Hospital of Fudan University, Shanghai, China.
Bin WangDepartment of EndocrinologyJinshan Hospital of Fudan University, Shanghai, China.
Xiao-Fei AnDepartment of EndocrinologyJinshan Hospital of Fudan University, Shanghai, China.
Jin-An ZhangDepartment of EndocrinologyShanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China zhangjinan@hotmail.com dlm196969@163.com.
Liumei DingDepartment of Clinical LaboratoryJinshan Hospital of Fudan University, Shanghai, China zhangjinan@hotmail.com dlm196969@163.com.
Jinshan Hospital of Fudan University · CNShanghai University of Medicine and Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes is a risk factor for testosterone deficiency and impaired sex steroid status. Some studies also investigated the association of testosterone level with diabetes risk in men, but reported controversial findings. To clarify this issue, we conducted a systematic review and meta-analysis.

methodsPubMed, EMBASE and Web of Science were searched for eligible cohort or nested case-control studies published up to August 15, 2017. Meta-analysis was used to calculate the pooled relative risk (RR) of type 2 diabetes associated with higher testosterone level.

resultsThirteen cohort or nested case-control studies with 16,709 participants were included. Meta-analysis showed that higher total testosterone level could significantly decrease the risk of type 2 diabetes in men (RR = 0.65; 95% CI 0.50-0.84;

conclusionThis meta-analysis suggests that higher testosterone level can significantly decrease the risk of type 2 diabetes in men. Therefore, combined with previous researches, the findings above suggest a reverse-causality scenario in the relation between testosterone deficiency and risk of type 2 diabetes in men.

Indexed as

meta-analysistestosteronetype 2 diabetes

Identifiers

PMID29233816
PMCPMC5793809
OpenAlexW2774033257

What OpenQuestion holds

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LicenceCC BY-NC
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.