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The relationship between epicardial fat tissue thickness and visceral adipose tissue in lean patients with polycystic ovary syndrome

Overview of attention for article published in Journal of Ovarian Research, November 2015
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
The relationship between epicardial fat tissue thickness and visceral adipose tissue in lean patients with polycystic ovary syndrome
Published in
Journal of Ovarian Research, November 2015
DOI 10.1186/s13048-015-0197-4
Pubmed ID
Authors

Dilek Arpaci, Aysel Gurkan Tocoglu, Sabiye Yilmaz, Hasan Ergenc, Ali Tamer, Nurgul Keser, Huseyin Gunduz

Abstract

Polycystic ovary syndrome (PCOS) is related to metabolic syndrome, insulin resistance, and cardiovascular metabolic syndromes. This is particularly true for individuals with central and abdominal obesity because visceral abdominal adipose tissue (VAAT) and epicardial adipose tissue (EAT) produce a large number of proinflammatory and proatherogenic cytokines. The present study aimed to determine whether there are changes in VAAT and EAT levels which were considered as indirect predictors for subclinical atherosclerosis in lean patients with PCOS. The clinical and demographic characteristics of 35 patients with PCOS and 38 healthy control subjects were recorded for the present study. Additionally, the serum levels of various biochemical parameters were measured and EAT levels were assessed using 2D-transthoracic echocardiography. There were no significant differences in mean age (p = 0.056) or mean body mass index (BMI) (p = 0.446) between the patient and control groups. However, the body fat percentage, waist-to-hip ratio, amount of abdominal subcutaneous adipose tissue, and VAAT thickness were higher in the PCOS patient group than in the control group. The amounts of EAT in the patient and control groups were similar (p = 0.384). EAT was correlated with BMI, fat mass, waist circumference, and hip circumference but not with any biochemical metabolic parameters including the homeostasis model assessment of insulin resistance index or the levels of triglycerides, low-density lipoprotein cholesterol, and high-density lipoprotein (HDL) cholesterol. However, there was a small positive correlation between the amounts of VAAT and EAT. VAAT was directly correlated with body fat parameters such as BMI, fat mass, and abdominal subcutaneous adipose thickness and inversely correlated with the HDL cholesterol level. The present study found that increased abdominal adipose tissue in patients with PCOS was associated with atherosclerosis. Additionally, EAT may aid in the determination of the risk of atherosclerosis in patients with PCOS because it is easily measured.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 12%
Researcher 4 9%
Student > Bachelor 4 9%
Student > Ph. D. Student 3 7%
Student > Postgraduate 3 7%
Other 10 23%
Unknown 14 33%
Readers by discipline Count As %
Medicine and Dentistry 17 40%
Biochemistry, Genetics and Molecular Biology 3 7%
Nursing and Health Professions 2 5%
Agricultural and Biological Sciences 2 5%
Psychology 2 5%
Other 2 5%
Unknown 15 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2015.
All research outputs
#17,776,579
of 22,832,057 outputs
Outputs from Journal of Ovarian Research
#279
of 587 outputs
Outputs of similar age
#192,243
of 285,670 outputs
Outputs of similar age from Journal of Ovarian Research
#4
of 11 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 587 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.