The worldwide prevalence and phenotypic features of polycystic ovary syndrome

PCOS is the most common endocrine disorder among women of reproductive age. Although many studies have investigated the prevalence of PCOS, there are discrepancies in their results. Even using the same subset of diagnostic criteria, the reasons for the variation of reported prevalence in the epidemiological studies presents are differences in study populations, limitations within the sampling and protocols applied and a lack of standardized definitions for the phenotypes. The effects of race and ethnicity, particularly, on the clinical presentation of androgen excess and enhancement in the visibility of antral follicles over time with ultrasonography might also contribute to the inconsistencies between prevalence studies.

Fig. 1. Worldwide prevalence of PCOS.

A systematic review and meta-analysis were performed on all published studies that have reported the prevalence of PCOS according to at least one subset of diagnostic criteria. To identify relevant studies based on the PRISMA statement, PubMed and Ovid databases were searched up to September 2015 by two blind investigators using the terms ‘PCOS’, ‘polycystic ovarian disease’, ‘Stein Leventhal syndrome’, ‘Androgen Excess Society’, ‘National Institute of Health’, ‘Rotterdam’, ‘ESHRE/ASRM’, ‘criteria’ and ‘prevalence’. Articles that represented the prevalence of PCOS according to at least one subset of diagnostic criteria were included. Exclusion criteria were a focus on adolescent subjects, an absence of data on prevalence, inappropriate design or non-English reporting. An appraisal tool to evaluate the methodological quality of the available studies was generated by the authors.

A total of 55 reports remained following screening of the abstracts and text for the subject of the study. Of these, 24 articles were eligible and evaluated for qualitative and quantitative synthesis. Since heterogeneity was observed among studies, a random-effects model was used to estimate the prevalence and its 95% CI. The proportions of PCOS prevalence (95% CI) according to the diagnostic criteria of NIH, Rotterdam and AE-PCOS Society were 6% (5–8%, n = 18 trials), 10% (8–13%, n = 15 trials) and 10% (7–13%, n = 10 trials), respectively. When only unselected population studies were included, the given rates were 6% (5–8%, n = 3 trials), 9% (7–12%, n = 6 trials) and 10% (7–14%, n = 3 trials). The available prevalence of PCOS data according to originating country across the continents is depicted in Figure 1. The respective proportions for hirsutism, hyperandrogenaemia, polycystic ovaries (PCO) and oligo-anovulation were 13% (8–20%, n = 14 trials), 11% (8–15%, n = 9 trials), 28% (22–35%, n = 12 trials) and 15% (12–18%, n = 19 trials), respectively. The effects of ethnic differences, particularly, on the presence or severity of hirsutism cannot be ruled out in any way. In addition, there was a lack of standardization in defining phenotypes of the syndrome and selection bias was evident in most of the studies regarding recruitment of the cohorts.

Geographical differences in frequencies of the components of the syndrome, such as oligo-anovulation and clinical/biochemical androgen excess, must be taken into account in the development and implementation of regional diagnostic and precision treatment strategies. Further efforts and resources are required to increase standardization of the methods and comparability of the study results on prevalence and phenotypic characterization of PCOS around the globe.

Gurkan Bozdag 1, Sezcan Mumusoglu 1, Dila Zengin 1, Erdem Karabulut 2, Bulent Okan Yildiz 3
1Department of Obstetrics and Gynecology, School of Medicine, Hacettepe University, Ankara, Turkey
2Department of Biostatistics, School of Medicine, Hacettepe University, Ankara, Turkey
3Division of Endocrinology and Metabolism, Department of Internal Medicine,
School of Medicine, Hacettepe University, Ankara, Turkey

 

Publication

The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis.
Bozdag G, Mumusoglu S, Zengin D, Karabulut E, Yildiz BO
Hum Reprod. 2016 Dec

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