Evidence map›Paper›PMID 31934198›Full record

ArticleInternational journal of clinical and experimental pathology2019

Association between sex hormone binding globulin gene polymorphism and type 2 diabetes mellitus.

Li Quan, Liang Wang, Jing Wang, Binya Yuwen, Jun Zhu

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Li QuanDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi, China.
Liang WangDepartment of Clinical Laboratory, The First Affiliated Hospital of Xinjiang Medical University Urumqi, China.
Jing WangDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi, China.
Binya YuwenDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi, China.
Jun ZhuDepartment of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the relationship between single nucleotide polymorphisms (SNPs) of sex hormone binding globulin (SHBG) and type 2 diabetes mellitus (T2DM) in an Uighur population. One hundred and fourteen T2DM male patients (with a history of diabetes or diagnosed as diabetic by the oral glucose tolerance test) and 173 healthy males from the Uighur ethnic group were included in the study to test the following SNPs of SHBG: rs727428, rs1799941, rs6259, rs6257, rs858521, rs858518, rs3760213, and rs11078701. The body mass index (BMI), blood pressure, and waist circumference, and lipid, glucose, HbA1c, insulin, HOMA-IR, testosterone, and SHBG levels of enrolled individuals were measured. We used the t-test or rank sum test and Chi-square test to analyze the difference and compare numeration data, respectively, between the case and control groups. Comparisons among multiple groups were carried out using analysis of variance, and the correlation between variables was determined by nonparametric Spearman rank correlation analysis; multivariate logistic regression analysis was used to assess the risk of abnormal glucose in the two groups. There was a significant difference (

Indexed as

Diabetessex hormone binding globulin (SHBG)single Nucleotide Polymorphism (SNPs)Uighur ethnic group

Identifiers

PMID31934198
PMCPMC6949838

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.