| Title |
Pathophysiology, risk factors, and screening methods for prediabetes in women with polycystic ovary syndrome
|
|---|---|
| Published in |
International Journal of Women's Health, August 2016
|
| DOI | 10.2147/ijwh.s104825 |
| Pubmed ID | |
| Authors |
Evgenia Gourgari, Elias Spanakis, Adrian Sandra Dobs |
| Abstract |
Polycystic ovary syndrome (PCOS) is a syndrome associated with insulin resistance (IR), obesity, infertility, and increased cardiometabolic risk. This is a descriptive review of several mechanisms that can explain the IR among women with PCOS, other risk factors for the development of diabetes, and the screening methods used for the detection of glucose intolerance in women with PCOS. Few mechanisms can explain IR in women with PCOS such as obesity, insulin receptor signaling defects, and inhibition of insulin-mediated glucose uptake in adipocytes. Women with PCOS have additional risk factors for the development of glucose intolerance such as family history of diabetes, use of oral contraceptives, anovulation, and age. The Androgen Society in 2007 and the Endocrine Society in 2013 recommended using oral glucose tolerance test as a screening tool for abnormal glucose tolerance in all women with PCOS. The approach to detection of glucose intolerance among women with PCOS varies among health care providers. Large prospective studies are still needed for the development of guidelines with strong evidence. When assessing risk of future diabetes in women with PCOS, it is important to take into account the method used for screening as well as other risk factors that these women might have. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 21% |
| Student > Master | 9 | 15% |
| Other | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 19 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 37% |
| Nursing and Health Professions | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 21 | 34% |
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 14 December 2016.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from International Journal of Women's Health
#681
of 885 outputs
Outputs of similar age
#299,484
of 381,020 outputs
Outputs of similar age from International Journal of Women's Health
#18
of 22 outputs
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.