The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
Epidemiology, diagnosis, and management of polycystic ovary syndrome
Open accessAbstract
Polycystic ovary syndrome (PCOS) is a common heterogeneous endocrine disorder characterized by irregular menses, hyperandrogenism, and polycystic ovaries. The prevalence of PCOS varies depending on which criteria are used to make the diagnosis, but is as high as 15%-20% when the European Society for Human Reproduction and Embryology/American Society for Reproductive Medicine criteria are used. Clinical manifestations include oligomenorrhea or amenorrhea, hirsutism, and frequently infertility. Risk factors for PCOS in adults includes type 1 diabetes, type 2 diabetes, and gestational diabetes. Insulin resistance affects 50%-70% of women with PCOS leading to a number of comorbidities including metabolic syndrome, hypertension, dyslipidemia, glucose intolerance, and diabetes. Studies show that women with PCOS are more likely to have increased coronary artery calcium scores and increased carotid intima-media thickness. Mental health disorders including depression, anxiety, bipolar disorder and binge eating disorder also occur more frequently in women with PCOS. Weight loss improves menstrual irregularities, symptoms of androgen excess, and infertility. Management of clinical manifestations of PCOS includes oral contraceptives for menstrual irregularities and hirsutism. Spironolactone and finasteride are used to treat symptoms of androgen excess. Treatment options for infertility include clomiphene, laparoscopic ovarian drilling, gonadotropins, and assisted reproductive technology. Recent data suggest that letrozole and metformin may play an important role in ovulation induction. Proper diagnosis and management of PCOS is essential to address patient concerns but also to prevent future metabolic, endocrine, psychiatric, and cardiovascular complications.
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(2004) · Fertility and Sterility · doi:10.1016/j.fertnstert.2003.10.004 · Cited by 9,050
The Prevalence and Features of the Polycystic Ovary Syndrome in an Unselected Population
Azziz, R., Woods, K. S., Reyna, R., Key, T. J., Knochenhauer, E. S., & Yildiz, B. O. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-032046 · Cited by 2,712
CLINICAL ASSESSMENT OF BODY HAIR GROWTH IN WOMEN
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Insulin Resistance and the Polycystic Ovary Syndrome: Mechanism and Implications for Pathogenesis*
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Azziz, R., Carmina, E., Dewailly, D., Diamanti-Kandarakis, E., Escobar-Morreale, H. F., Futterweit, W., Janssen, O. E., Legro, R. S., Norman, R. J., Taylor, A. E., et al. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-0178 · Cited by 2,143
Amenorrhea associated with bilateral polycystic ovaries
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Cited by
Diagnosis and Management of Infertility: A Review
Carson, S. A., & Kallen, A. N. (2021) · JAMA · doi:10.1001/jama.2021.4788 · Cited by 1,294
Pregnancy complications in women with polycystic ovary syndrome
Palomba, S., de Wilde, M. A., Falbo, A., Koster, M. P. H., La Sala, G. B., & Fauser, B. C. J. M. (2015) · Human Reproduction Update · doi:10.1093/humupd/dmv029 · Cited by 691
Polycystic ovary syndrome (PCOS), an inflammatory, systemic, lifestyle endocrinopathy
Patel, S. (2018) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2018.04.008 · Cited by 605
Sanchez-Garrido, M. A., & Tena-Sempere, M. (2020) · Molecular Metabolism · doi:10.1016/j.molmet.2020.01.001 · Cited by 557
Osibogun, O., Ogunmoroti, O., & Michos, E. D. (2020) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2019.08.010 · Cited by 423
Metadata
- Authors
- Sirmans, S., & Pate, K.
- Venue
- Clinical Epidemiology
- Publisher
- Informa UK Limited
- Published
- 2013-12
- Volume
- 6
- Pages
- 1
- ISSN
- 1179-1349 (ISSN-L)
- OpenAlex
- W1986902166
- Cited by
- 1,302
- References
- 165
- FWCI
- 54.82
- Type
- journal article
- Language
- en
- Open access
- gold
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- Sirmans, S., & Pate, K. (2013). Epidemiology, diagnosis, and management of polycystic ovary syndrome. Clinical Epidemiology. https://doi.org/10.2147/clep.s37559
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.