Literature DB >> 27664216

The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis.

Gurkan Bozdag1, Sezcan Mumusoglu1, Dila Zengin1, Erdem Karabulut2, Bulent Okan Yildiz3.   

Abstract

STUDY QUESTION: What is the reported overall prevalence of polycystic ovary syndrome (PCOS) according to the criteria of the National Institutes of Health (NIH), Rotterdam or the Androgen Excess and PCOS Society (AE-PCOS Society)? SUMMARY ANSWER: The reported overall prevalence of PCOS (95% CI) according to diagnostic criteria of the NIH, Rotterdam and the AE-PCOS Society is 6% (5-8%, n = 18 trials), 10% (8-13%, n = 15 trials) and 10% (7-13%, n = 10 trials), respectively. WHAT IS ALREADY KNOWN: 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, in part due to the use of various definitions of the syndrome and its subphenotypes, differences between study cohorts, ethnicities, and types of recruitment and sampling. STUDY DESIGN, SIZE, DURATION: 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. PARTICIPANTS/MATERIALS, SETTING,
METHODS: 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. MAIN RESULTS AND THE ROLE OF CHANCE: 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 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. LIMITATIONS, REASONS FOR CAUTION: 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. WIDER IMPLICATIONS OF THE
FINDINGS: 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. STUDY FUNDING/COMPETING INTERESTS: No funding to declare. The authors have no conflicts of interest to declare. REGISTRATION NUMBER: None.
© The Author 2016. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  androgen excess; oligo-anovulation; phenotype; polycystic ovary syndrome; prevalence

Mesh:

Year:  2016        PMID: 27664216     DOI: 10.1093/humrep/dew218

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  234 in total

1.  Age at Onset of Metabolic Syndrome Among Women With and Without Polycystic Ovary Syndrome-Like Status.

Authors:  Qing Peng; Carrie A Karvonen-Gutierrez; John F Randolph; Bin Nan; Daniel McConnell; Siobán D Harlow
Journal:  J Clin Endocrinol Metab       Date:  2019-05-01       Impact factor: 5.958

2.  The Impact of Bariatric Surgery Compared to Metformin Therapy on Pregnancy Outcomes in Patients with Polycystic Ovarian Syndrome: a Systematic Review and Meta-analysis.

Authors:  Catherine Chang; Steven Chang; Jillian Poles; Violeta Popov
Journal:  J Gastrointest Surg       Date:  2021-01-22       Impact factor: 3.452

Review 3.  Ultrasound-guided transvaginal ovarian needle drilling for clomiphene-resistant polycystic ovarian syndrome in subfertile women.

Authors:  Jing Zhang; Liulin Tang; Linglingli Kong; Taixiang Wu; Liangzhi Xu; Xin Pan; Guan J Liu
Journal:  Cochrane Database Syst Rev       Date:  2019-07-31

4.  Serum metabolomics reveals metabolic profiling for women with hyperandrogenism and insulin resistance in polycystic ovary syndrome.

Authors:  Zhihao Zhang; Yanli Hong; Minmin Chen; Ninghua Tan; Shijia Liu; Xiaowei Nie; Wei Zhou
Journal:  Metabolomics       Date:  2020-01-24       Impact factor: 4.290

5.  Birthweight, Childhood Body Mass Index, Height and Growth, and Risk of Polycystic Ovary Syndrome.

Authors:  Julie Aarestrup; Dorthe C Pedersen; Peter E Thomas; Dorte Glintborg; Jens-Christian Holm; Lise G Bjerregaard; Jennifer L Baker
Journal:  Obes Facts       Date:  2021-05-12       Impact factor: 3.942

6.  Commentary: Mendelian randomization and women's health.

Authors:  Jenny C Censin; Jonas Bovijn; Michael V Holmes; Cecilia M Lindgren
Journal:  Int J Epidemiol       Date:  2019-06-01       Impact factor: 7.196

7.  Ethnical and sociocultural differences causing infertility are poorly understood-insights from the Arabian perspective.

Authors:  B Lawrenz; C Coughlan; Laura Melado; Human M Fatemi
Journal:  J Assist Reprod Genet       Date:  2019-01-26       Impact factor: 3.412

8.  Association of rs6259 polymorphism with SHBG levels and Poly Cystic Ovary Syndrome in Indian population: a case control study.

Authors:  Richa Bhatnager; Alka Senwal; Smiti Nanda; Amita S Dang
Journal:  Mol Biol Rep       Date:  2019-02-04       Impact factor: 2.316

9.  Polycystic ovarian syndrome: an under-recognised problem?

Authors:  Sarah C Hillman; Jeremy Dale
Journal:  Br J Gen Pract       Date:  2018-05       Impact factor: 5.386

10.  A Commentary on the New Evidence-Based Lifestyle Recommendations for Patients with Polycystic Ovary Syndrome and Potential Barriers to Their Implementation in the United States.

Authors:  Brittany Y Jarrett; Annie W Lin; Marla E Lujan
Journal:  J Acad Nutr Diet       Date:  2018-12-12       Impact factor: 4.910

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