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Effects of hyperandrogenism on metabolic abnormalities in patients with polycystic ovary syndrome: a meta-analysis

Overview of attention for article published in Reproductive Biology and Endocrinology, October 2016
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Title
Effects of hyperandrogenism on metabolic abnormalities in patients with polycystic ovary syndrome: a meta-analysis
Published in
Reproductive Biology and Endocrinology, October 2016
DOI 10.1186/s12958-016-0203-8
Pubmed ID
Authors

Rui Yang, Shuo Yang, Rong Li, Ping Liu, Jie Qiao, Yanwu Zhang

Abstract

The study evaluated the effect of hyperandrogenism (HA) in polycystic ovary syndrome (PCOS) on metabolic parameters. We searched PubMed, EMBASE, Cochrane, Web of Science, Chinese Biomedical Database (CBM), China National Knowledge Infrastructure (CNKI), WanFang data and VIP for clinical observational studies. The study evaluated PCOS patients with or without HA on metabolic parameters was included. Prevalence of metabolic syndrome, indexes of insulin resistance (IR) including homeostasis model assessment IR index (HOMA-IR), incidence of IR, biomarkers of serum lipid metabolism such as total cholesterol (TC), triglyceride (TG), high density lipoprotein (HDL), and low density lipoprotein (LDL). Of 4457 identified trials, 32 observational studies were included for the final analysis comprising 9556 female with PCOS. 6482 cases were having HA, and the others were negative. There were significant differences in the incidence of metabolic syndrome, HOMA-IR, rate of IR, TC level and HDL level between PCOS patients with or without HA, except for LDL level. No significant publication bias was found as P value of Egger's test was 0.82. HA play an important role in metabolic disorders in PCOS patients. The incidence of metabolic syndrome, IR indexes, and most biomarkers of serum lipid metabolism were significantly different between patients with and without HA.

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Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 14%
Student > Doctoral Student 9 10%
Researcher 8 9%
Student > Master 6 7%
Professor 5 6%
Other 16 19%
Unknown 30 35%
Readers by discipline Count As %
Medicine and Dentistry 25 29%
Nursing and Health Professions 7 8%
Biochemistry, Genetics and Molecular Biology 7 8%
Agricultural and Biological Sciences 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 8 9%
Unknown 34 40%