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Journal of Human Reproductive Sciences logoLink to Journal of Human Reproductive Sciences
. 2020 Dec 28;13(4):261–271. doi: 10.4103/jhrs.JHRS_95_18

The Prevalence of Polycystic Ovary Syndrome: A Brief Systematic Review

Ritu Deswal 1, Vinay Narwal 1, Amita Dang 1, Chandra S Pundir 1,
PMCID: PMC7879843  PMID: 33627974

Abstract

Background:

Polycystic ovary syndrome (PCOS), the major endocrinopathy among reproductive-aged women, is not yet perceived as an important health problem in the world. It affects 4%–20% of women of reproductive age worldwide. The prevalence, diagnosis, etiology, management, clinical practices, psychological issues, and prevention are some of the most confusing aspects associated with PCOS.

Aim:

The exact prevalence figures regarding PCOS are limited and unclear. The aim of this review is to summarize comprehensively the current knowledge on the prevalence of PCOS.

Materials and Methods:

Literature search was performed through PubMed, ScienceDirect, Cochrane Library, and Google Scholar (up to December 2019). All relevant articles published in English language were identified following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Results:

Our analysis yielded 27 surveys with a pooled mean prevalence of 21.27% using different diagnostic criteria. The proportion of women with PCOS also increased in the last decade.

Conclusion:

The current review summarizes and interprets the results of all published prevalence studies and highlights the burden of the syndrome, thereby supporting early identification and prevention of PCOS in order to reverse the persistent upward trend of prevalence.

KEYWORDS: Etiology, diagnostic criteria, polycystic ovary syndrome, prevalence, prevention

INTRODUCTION

Stein and Leventhal were the first to describe polycystic ovary syndrome (PCOS) more comprehensively in 1935.[1] With varied clinical manifestations, unknown etiology, complex pathophysiology, and poor diagnosis, it has produced considerable scientific debate.[2,3,4,5,6,7,8,9,10,11] The diagnosis of PCOS remains a controversy in clinical endocrinology. In order to create an extensive and descriptive definition for the diagnosis of PCOS, the National Institutes of Health (NIH) criteria came into existence in 1990.[12] Then, in 2003, a workshop in Rotterdam formulated a new diagnostic criterion named Rotterdam criteria.[13] This criterion requires the presence of two conditions out of the three: (1) oligomenorrhea/anovulation, (2) clinical/biochemical hyperandrogenism, and (3) polycystic ovaries (≥12 follicles in each ovary measuring 2–9 mm). In 2006, the Androgen Excess Society (AES) revised the diagnostic criteria. The AES requires the specific presence of clinical/biochemical hyperandrogenism in combination with either oligoanovulation or polycystic ovaries.[12,13] The process of standardization of diagnosis confronts certain obstacles. First, in early menarche, ovulation is often irregular. Thus, anovulation cannot be considered as a definite evidence of the existence of the syndrome.[14] Second, transvaginal ultrasonography is not routinely performed in adolescents, which restricts ovary visualization and therefore excludes any invasive diagnosis of polycystic ovarian morphology. Third, there is a lack of consensus on the biochemical levels of hyperandrogenism, and there is limited information regarding normal levels of androgens in adolescents. Therefore, determining androgen abnormality is a complex task. Fourth, multifollicular ovaries, which may be present normally in adolescent girls, are hard to extricate from polycystic ones. Thus, the Pediatric Endocrine Society has recommended certain guidelines for differential diagnosis of PCOS in adults and adolescence. The appropriate consensus (persistent hyperandrogenic oligoanovulation) based on age and stage appropriate standards for early diagnosis and management of PCOS is summarized in [Supplementary Table 1].[15]

Supplementary Table 1.

Differential diagnostic guidelines for diagnosis of polycystic ovary syndrome in adults and adolescence

Adult Adolescence
Phenotype I: NIH criteria AUB
 Clinical and/or biochemical HA
Oligoanovulation
 Abnormal for age
Persistent symptoms for 1-2 years
Phenotype II: RC HA
 Clinical and/or biochemical HA
Polycystic ovary
Oligomenorrhea/amenorrhea
 Persistent testosterone elevation above normal levels
Moderate-to-severe hirsutism
Moderate-to-severe acne vulgaris to indicate HA
Phenotype III: AES
Clinical and/or biochemical HA

AUB=Abnormal uterine bleeding, HA=Hyperandrogenism, NIH=National Institutes of Health, RC=Rotterdam criteria, AES=Androgen excess society

Multiple genetic and environmental factors play an important role in occurrence of PCOS. The consequences of this multifaceted disorder extend beyond the reproductive system affecting metabolic, cardiovascular, immune, and psychological health of affected women. Over the past decade, genome-wide association studies (GWASs) have greatly advanced the understanding of PCOS pathophysiology by identifying several critical genes involved in steroidogenesis, hypothalamic–pituitary pathways, gonadotrophin action, insulin action and secretion, adipose tissue disturbances, homeostasis, lipid metabolism, and chronic inflammation are considered as the most promising genes involved in PCOS. Some of these genes are LHR, FSHR, INSR, ERB, THADA, and HMGA2.[16,17,18,19,20] Azziz[21] reviewed the etiology of PCOS implicating genes involved in modulation of gonadotropin and neuroendocrine action, ovarian androgen biosynthesis, and possible insulin action, providing clues to the evolutionary path and potential evolutionary advantages of PCOS. The overexpression of DENND 1A isoform produced a PCOS theca phenotype, and causal mechanisms and balancing selection were inferred from genetic associations with PCOS.[22,23] Women with PCOS have considerable varied symptomatology across life span. Physical, biochemical, and radiographic evaluations along with medical history provide confirmatory PCOS-related evidences. Hallmark features of PCOS include anovulation, hyperandrogenism, and polycystic ovaries. Other major manifestations of PCOS are as follows: Luteinizing hormone hypersecretion, metabolic disturbances, hyperinsulinemia, insulin resistance, glucose intolerance, dyslipidemia, hirsutism, acne, obesity, diabetes mellitus type II, and infertility. Various long-term complications include cardiovascular events, endometrial cancer, and psychological disorders such as stress and depression.[24,25,26] Table 1 represents various symptomatologies associated with the disorder. In recent years, the geographic variations of PCOS prevalence have been studied worldwide. The prevalence of PCOS is frequently quoted between 2% and 26%.[27] The differences in diagnostic criteria, sample heterogeneity, socioeconomic level, medical care access, prevalence of influential risk factors, health and education/awareness were among the possible causes of substantial geographic disparities in the prevalence rate.[28] Based on ancestral or geographical segregation, the world's populations vary in physical, social, and behavioral features due to natural selection and environmental adaptations, the conditions which then strongly influences the phenotype of the disease. It is now evident that race and ethnicity affect clinical presentation of PCOS due to different genetic and environmental predisposition to endocrine and metabolic aberrations. As reported in 2017, it was found that Hispanic PCOS women presented a higher degree of hyperandrogenism and metabolic aberrations as compared to non-Hispanic women.[29]

Table 1.

Clinical features associated with polycystic ovary syndrome

Clinical features Type of clinical feature Parameters affected
Directly related clinical features
Menstrual irregularities Oligomenorrhea,
Amenorrhea
Hypermenorrhea
Infrequent menstruation at intervals >35 days
Absence of menstruation
Heavy and prolonged menstrual periods
Clinical hyperandrogenism Hirsutism
Acne
Androgenic alopecia
Virilization
Ferriman-Gallwey score ≥8
GAGS
Thinning and diffuse hair loss
Male pattern baldness
Biochemical hyperandrogenism Elevated serum androgen level Total or free serum T level
Androstenedione,
DHEAS
Polycystic ovaries Numerous small cysts in a “string-of-pearls” appearance Presence of ≥12 follicles of 2-9 mm diameter increased ovarian volume >10 ml in either ovary
AN Papillomatosis and hyperkeratosis of skin Scale for AN
0: Absent
1: Present
2: Mild
3: Moderate
4: Severe
Acrochordons Skin tags Vary in diameter from 2 to 6 mm
Reproductive consequences
Infertility Primary infertility
Secondary infertility
Failure to achieve a live birth
Endometrial cancer Endometrial hyperplasia Endometrial biopsy
Metabolic consequences
Metabolic syndrome NCEP Panel III criteria
Any three of these symptoms
Abdominal obesity >35 inches, TG ≥150 mg/dl, HDL-C: <50 mg/dl, BP ≥130/85 mmHg, fasting glucose ≥110 mg/dl
Obesity Defined by body mass index BMI ≥30 kg/m2
Type 2 diabetes (DM2) Characterized by high blood sugar, insulin resistance, and relative lack of insulin Fasting plasma glucose level, oral glucose tolerance test
CVD Group of disorders of heart and blood vessels Arrhythmia, stroke, atherosclerosis
Insulin resistance Impaired sensitivity to insulin-mediated glucose disposal HOMA-IR
Dyslipidemia Abnormal amount of lipids Elevation of plasma cholesterol, triglycerides
Psychological features
Anxiety BAI 0-21: Low anxiety
22-35: Moderate anxiety
>36: Severe anxiety
Depression BDI 0-9: Minimal depression
10-18: Mild depression
19-29: Moderate depression
30-63: Severe depression

GAGS=Global acne grading system, T=Testosterone, NCEP=National Cholesterol Education Program, TG=Triglycerides, LDL=Low-density lipoproteins, C=Cholesterol, BP=Blood pressure, BMI=Basal metabolic rate, HOMA-IR=Homeostatic model assessment-insulin resistance, BAI=Body adiposity index, BDI=Body density index, AN=Acanthosis nigricans, CVD=Cardiovascular disease

The need to improve the clinical and therapeutic management of PCOS patients has become increasingly evident in the last decade. Many treatment possibilities exist to correct the severity of clinical manifestations of PCOS patients. Every physician should be able to choose the most protocol in relation to PCOS and the possible prospect of a pregnancy. Table 2 includes the appropriate therapeutic techniques with pharmacological therapies in order to treat PCOS.[30,31,32,33,34] The key strategies for better management of PCOS included the need for specific biological markers, the use of more precise techniques for measuring circulating androgens, understanding the risk factor consequences of PCOS, and finally, treatment strategies based on individual-specific phenotype needs.

Table 2.

Different approaches for treatment of polycystic ovary syndrome

Category Drug (commercial/scientific name) Side effects
Medical therapy for irregular menstruation
 Oral contraceptive pill Diane/Brenda/Juliet/Estelle/Yasmin/Valette May increase insulin resistance and weight
 Combined oral contraceptives Ethinylestradiol, desogestrel, gestodene Mood changes, bloating, acne, hair loss
 Progestins and progesterone Provera/Prometrium/Aygestin Increase risk of heart disease
Medical therapy for insulin resistance and diabetes
 Insulin-sensitizing drugs Metformin, thiazolidinediones Nausea, abdominal bloating, vomiting, and loss of appetite
 Insulin secretion drugs Sulfonylureas, meglitinides, incretin mimetics Weight gain, hypoglycemia
 Insulin resistance Corticosteroids - Rayos, orlistat Weight gain, increased appetite
 GLP-1 Bydureon, Byetta, Victoza Headache, nausea, and diarrhea
Medical treatment for fertility
 Ovulation induction Clomiphene citrate/metformin Multiple births, ovarian cancer
 Gonadotrophins FSH/LH/hCG Multiple pregnancies
 Assisted reproductive technology IVF Cost and failure
Medical therapy for acne, hirsutism, and hair loss
 Antiandrogen Androcur/Aldactone/Proscar Birth defects, weight gain, depression
 Sebum-reducing cream Isotretinoin/Rogaine Dry skin and eczema
Medical therapy for obesity
 Lipase inhibitors Orlistat, Lorcaserin, Liraglutide Risk for heart disease
 Central nervous system stimulants/anorexiants Belviq/Qsymia/Adipex/Regimex/Diethylpropion Dizziness, diarrhea, anxiety, hair loss
 Opioid receptor blockade Naltrexone Nausea, constipation
 GLP-1 Victoza/Saxenda Nausea, abdominal pain, constipation
Medical therapy for depression
 Antidepressants Anafranil/Adapin/Aventyl/Elavil Fatigue, weight gain, tremors, bladder problems
 Antianxiety drugs Tranquilizers - Xanax/Valium Confusion, stomach upset, dizziness
Lifestyle management
 Diet Wholegrain cereals, low glycemic index foods, less Na and sugar intake -
 Physical activity Walk, running, aerobics -
Natural supplements
 Herbs Licorice root/Maca/Vitex/Chasteberry/inositol -

GLP1=Glucagon-like peptide 1, FSH=Follicle-stimulating hormone, LH=Luteinizing hormone, hCG=Human chorionic gonadotropin

We therefore aimed to collate different prevalence studies conducted till date in order to explore key variables that may influence prevalence estimates. The present study highlighted past to present-day accepted guidelines used for PCOS diagnosis. This review also stressed on current treatment and screening guidelines used with specific emphasis on potential new therapies that can be used for better management of PCOS.

MATERIALS AND METHODS

Search strategy

Two reviewers carried out a systemic computer-assisted literature search of all major databases including MEDLINE, PubMed, ScienceDirect, ISI Web of Knowledge, Embase, Google Scholar, and Wiley. The following search terms were entered as medical subject headings for finding studies reporting the prevalence of PCOS: The search strategy used a combination of different terms “prevalence of PCOS,” “epidemiology of PCOS,” “PCOS in reproductive age,” and “polycystic ovary syndrome.” References in the identified studies were also investigated to identify additional studies. Any discrepancies regarding data extraction were resolved by mutual consensus.

Eligibility criteria

Inclusion criteria

Studies meeting the following criteria were included: (1) cross-sectional, case–control, or cohort studies including PCOS women aged 15–45 years and age-matched controls of any ethnicity; (2) PCOS was diagnosed based on either Rotterdam, NIHCD, AES criteria, or all three; (3) studies containing original data (independent of other studies); (4) design where the prevalence of PCOS with sample size was presented; and (5) publications in full text written in English.

Exclusion Criteria

The studies were excluded, if these (1) contained data overlapping data with other studies (2) reported in language other than English (3)epidemiological studies reporting prevalence in family members of affected cases (4)letters, abstracts and conference proceedings ,which are not fully published in peer reviewed journals or published with limited access.

Data extraction

A data extraction form consists of information needed for the study (name of first author, year of publication, country, study design, study population size and description, age group, diagnostic criteria used, and prevalence rates). 95% confidence intervals (CIs) were calculated from the available data. The analysis was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.[35]

Quality assessment

The quality of included studies was assessed by QUADAS tool[36] (quality assessment for studies of diagnostic accuracy). The quality scoring checklist includes the following: (i) objective clearly stated, (ii) study design clearly described, (iii) patient selection criteria clearly defined, (iv) details of control selection, (v) sample size, (vi) method of PCOS diagnosis was provided, (vii) inclusion and exclusion criteria, (viii) prevalence clearly provided, (ix) confounding variables measured in the analysis, and (x) statistical analysis appropriately described. Studies scoring >7, 4–6, and <4 are rated as good, fair, and poor quality, respectively.

RESULTS

Figure 1 outlines the detailed study screening and selection process. Database search yielded 2167 initial citations. All irrelevant studies (1136) were excluded. The studies describing other aspects of PCOS (polymorphism, prevalence of a particular comorbidity only, clinical trials, and reviews) were also excluded (551). A total of 480 articles had their full text reviewed for inclusion. Four hundred and seventeen articles were excluded after full-text review. Out of 68 included studies, 41 studies were omitted due to incomplete information. Twenty-seven prevalence involving 32,125 participants were therefore selected for inclusion in the review.

Figure 1.

Figure 1

Flowchart of study screening and selection procedure

Baseline characteristics of studies

Table 3 provides a comprehensive portrait of the prevalence studies of PCOS across the globe including all three international diagnostic criteria.[27,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64] The present review represented data based on random cross-sectional, prospective, cohort, case–control, and observational studies using all three different diagnostic criteria. The Rotterdam criteria are the most common one, included in 19 studies. The second most used criterion was NIH (11 studies). Twenty studies adopted cross-sectional study design. Only five studies include a large sample size (>1000). Southern China, Iran, and the USA reported a prevalence of 2.2%, 3%, and 4%, respectively. Beijing, Palestine, Brazil, Sri Lanka, the UK, Greek, and Spain found a prevalence rate in the range of 5%–10%. Australia, Turkey, and Denmark reported a higher prevalence (15%–20%). The prevalence rates differ with different criteria used. The Rotterdam criteria are the most acceptable diagnostic, as it includes broader evidences (oligomenorrhea/amenorrhea, clinical/biochemical hyperandrogenism plus polycystic ovaries) of PCOS. Studies adopting Rotterdam criteria as diagnostic methodology report higher prevalence rates when compared with the other two methods [Figure 2]. Today, 1 in every 10 women is diagnosed with PCOS across the world. Until the late 1990s, the studies regarding the prevalence of PCOS were rare. Most of the studies were carried out on small sample size. The number of random community surveys is also limited. Fourteen studies were conducted in Asia, with India being the country presenting maximum number of researches (five). Seven studies were conducted in Europe, two in Australia, one in Africa, two in North America, and one in South America [Figure 3].

Table 3.

Prevalence studies of PCOS across the globe with different diagnostic criteria

(a) Random community-based prevalence of polycystic ovary syndrome across the globe
Place Population Participant selection Age Criteria Prevalence (95% CI) Reference QS
Prevalence studies with cross-sectional study design
 India 385 City 17-24 RC 8.2% (±2.74) Gupta M et al., 2018 8
 India 480 University NR RC 8.1% (±2.76) Joseph N et al., 2016 7
 Rohtak, India 325 Random 16-45 RC 6.8% (±2.74) Deswal R et al., 2014 8
 India 600 Census block 15-24 RCAES 22.5% (±3.34)10.7% (±2.47) Joshi B et al., 2014 8
 Mumbai, India 778 Census block of Mumbai 15-24 RCAES 22.5% (±2.93)10.7% (±2.17) Srabani M et al., 2014 8
 Denmark 863 Hospital 20-40 RC 16.6% (±8.48) Lauritsen MP et al., 2014 7
 Kerala, India 200 Medical college 18-31 RC 15% (±4.95) Vijayan CP et al., 2013 8
 Palestine 137 University 18-24 NIH 7.3% (±4.36) Musmar S et al., 2013 8
 Ankara, Turkey 392 Female staff 18-45 NIHRCAES 6.1% (±2.37)19.9% (±3.95)15.3% (±3.56) Yildiz BO et al., 2012 9
 Darwin, Australia 248 Indigenous women 15-44 NIH 15.3% (±4.48) Boyle JA et al., 2012 8
 Salvador, Brazil 859 Women seeking primary health care 18-45 RC 8.5% (±1.86) Gabrielli L, 2012 8
 Kerman, Iran 118 Women with acne 14-38 NIHUltrasonography 60.2% (±8.83)8.3% (±9.02) Zandi S et al., 2010 7
 Isfahan, Iran 1000 Females visiting premarriage screening clinic 14-18 MI and H 3% (±1.06) Hashemipur M et al., 2004 7
 Greek island, Lesbos 192 Random 17-45 H and OM 6.77% (±3.55) Diamanti KE et al., 1999 8
Prevalence studies with community-based study design
 Beijing 15,924 Han Chinese women in community 19-45 Rotterdam 5.6% (±0.36) Rong Li et al., 2013 8
 Lucknow, India 1520 Volunteer college girls 18-25 MI or H or both 3.7 % (±0.95) Gill H et al., 2012 8
 Iran 1126 Random selection 18-45 NIHAESRC 7.1% (±1.50)11.7% (±1.88)14.6% (±2.06) Tehrani FR et al., 2011 8
 Sri Lanka 3030 Random community selection 15-39 RC 6.3% (±0.87) Kumarapeli V, 2008 9
(b) Prospective, observational, and case-control prevalence studies of polycystic ovary syndrome
Place Population Participant selection Age Criteria Prevalence (95% CI) Reference QS
Prevalence studies with prospective study design
 India 460 College girls 15-18 RC 9.13% (±2.63) Nidhi R et al., 2011 7
 UK 400 Women visiting University of Alabama 18-45 RC 6.6% (±2.43) Azziz R et al., 2004 9
 Spain 154 Caucasian women in blood donation camp 18-45 NIH 6.5% (±3.89) Asuncion M et al., 2000 7
 Alabama 369 White and non white women 18-45 RC 4% (±2.00) Knochenhauer ES et al., 1998 8
Prevalence studies with observational study design
 USA 100 Self-reporting women with PCOS 18-45 NIHRCAES 53% (±9.78)70% (±8.98)62% (±9.51) Clark NM et al., 2014 6
 Tanzania 100 Infertile women in hospital 18-45 RC 32% (±9.14) Pembe AM et al., 2009 7
 Germany 61 Female-to-male transsexuals 18-45 NIHRC 11.5% (±8.01)14.8% (±8.91) Schötz SN, 2009 6
 China 915 Medical examination center 18-45 RC 2.2% (±0.95) Chen X et al., 2008 7
Prevalence studies with cohort study design
 Thailand 58 Women with idiopathic intracranial hypertension 18-45 NIH 15.5% (±9.31) Avisar I et al., 2012 8
 Australia 728 Maternity hospital 27-34 NIHRCAES 8.7% (±2.05)11.9% (±2.35)10.2% (±2.20) March WA et al., 2010 7
 Rotterdam, Utrecht 869 WHO-II normogonadotropic, anovulatory infertility women in medical center 18-45 NIHRC 55% (±3.31)91% (±1.90) Broekmans FJ et al., 2006 7
Prevalence studies with case control study design
 New Delhi, India 175 with CLT and 46 control Girls with euthyroid CTL 13-18 RC 46.8% (±7.39) Ganie MA, 2010 7

CI=Confidence interval, NIH=National Institutes of Health, RC=Rotterdam criteria, AES=Androgen excess society, CLT=Chronic lymphocytic thyroiditis, QS=Quality score

Figure 2.

Figure 2

Prevalence (%) of PCOS using different diagnostic criteria. PCOS=Polycystic ovary syndrome, NIH=National Institutes of Health, AES=Androgen excess society

Figure 3.

Figure 3

Scenario of prevalence studies in the world

Table 4 shows a comparison between the results of various PCOS-associated parameters using three different methods. The total number of PCOS patients included in these studies was 3434, 838, and 410 using RC, NIH, and AES criteria, respectively. Statistically significant differences were observed in polycystic ovaries on ultrasound (0.003%), hirsutism (0.001), and obesity (0.001) among PCOS cases when all three diagnostic criteria were compared. As expected, overall PCOS cases had higher percentages of girls with oligomenorrhea. Infertility was significantly higher in women with polycystic ovary morphology (21.70%) using AES criteria, while Rotterdam criteria reported the presence of the same in minority of women (6%). Hirsutism was present among 58.12% of cases (Rotterdam diagnosis) and 52.68% of cases (AES diagnosis). Degree of hirsutism was less in women diagnosed with NIH criteria (25.77%). However, there was no statistical difference found in the prevalence of insulin resistance and metabolic syndrome profile of these women. PCOS is present in both obese and lean females. Rotterdam criteria report a low prevalence of insulin resistance (8.04%) as the condition was found to be more prevalent in obese PCOS cases.

Table 4.

Different characteristics of polycystic ovary syndrome patients

Complications Criteria - RC (n=3434), n (%) Criteria - NIH (n=838), n (%) Criteria - AES (n=410), n (%) P
MI
 Oligomenorrhea 3021 (88.21) 680 (81.21) 340 (83.09) 0.001
 Amenorrhea 397 (11.57) 158 (18.85) 67 (16.34) 0.060
Infertility 217 (6.33) 104 (12.41) 89 (21.70) 0.040
Polycystic ovaries 869 (25.31) - 97 (23.65) 0.003
Hirsutism 1995 (58.12) 216 (25.77) 216 (52.68) 0.001
Obese 1863 (54.26) 446 (53.22) 229 (55.85) 0.001
Nonobese 1570 (45.73) 392 (46.77) 194 (47.31) 0.066
Insulin resistance 276 (8.04) 180 (21.47) 106 (25.85) 0.240
Metabolic syndrome 206 (6.01) 57 (6.80) 19 (4.63) 0.110

Distributions were compared using analysis of variance. Categorical variables were compared using Pearson’s Chi-square test. P<0.05 is considered statistically significant. RC=Rotterdam criteria, MI=Menstrual irregularities

DISCUSSION

PCOS is associated with multiple reproductive, reproductive, and psychological complications which are of serious concern. PCOS represents a significant socioeconomic burden to health care. It was during the mid-nineteenth century that headway was made in the understanding of PCOS by Stein and Leventhal. In India, it took almost a century for the prevalence of PCOS to come in the forefront in medical literature. To address this issue, few nationally representative surveys have been conducted in India from 2010 to 2014, reporting the variation in prevalence rate from 6% to 46.8%. Ganie et al. published the first Indian case–control study using Rotterdam criteria in 2010, which reported a high prevalence rate of 46.8% as the study was conducted in 176 chronic lymphocytic thyroiditis (CLT) patients.[64] Nidhi et al., in 2011, conducted a prospective study involving 460 girls of 15–18 years from a residential college in South India and reported a prevalence rate of 9.13%.[54] A 2017 study conducted by Gupta et al. in 500 college girls aged 17–24 reported a prevalence rate of 8.2%.[37] Later, during 2017, Choudhary A et al. showed a higher prevalence of 41% in 170 women with menstrual irregularities by NIH criteria. Another study conducted in Mumbai among 600 girls of 15–24 years reported an estimated prevalence of 22.5%.[40] A meta-analysis conducted by Ding et al., in 2017, reviewed the prevalence of PCOS across different ethnic groups and concluded that Caucasian females are less likely to develop PCOS compared with middle east and non white female populations.[65] Accordingly, the prevalence of PCOS varies among different countries worldwide. Iran, China, and the USA reported a prevalence of 3%, 2.2%, and 4.7%, respectively. Brazil, Beijing, Sri Lanka, Palestine, Greece, the UK, and Spain found a prevalence rate in the range of 5%–10%. Denmark, Turkey, and Australia reported a higher prevalence range (15%–20%). In 2018, Wolf et al. reported the prevalence of PCOS in Mexico also.[66] In 2019, Ganie et al. concluded the prevalence of PCOS in India ranging from 3.7%–22.5% depending on the population studied and criteria used for diagnosis.[67] A report from this laboratory showed that overall 71% of the women with PCOS resided in urban regions, while 29% in rural regions in the Haryana state of India.[68] The discrepancies might be partly attributed to small sample sizes, socioeconomic differences, clinical heterogeneity, low statistical power, differing ethnic backgrounds among various populations, geographic variations, and interactions with other environmental plus genetic factors. Until today, five different GWASs have identified 16 candidate genes/loci associated with PCOS. These findings implicated the role of genes involved in gonadotropin action (LHR and FSHR), insulin signaling and type 2 diabetes (INSR, THADA, HMGA2), cell proliferation (YAP1 and SUMO1P1), and chromatin remodeling (TOX3) in the pathogenesis of PCOS.[15,16,17,18,19] Shim et al., 2015, conducted pathway-based GWAS to elucidate significant biological pathways and candidate genes involved in pathogenesis of PCOS.[20] The study identified three top rank pathways (ovulation, insulin secretion, and calcium signaling) associated with PCOS. INSR gene was observed in all three pathways. Variations in INSR gene could result in abnormal insulin regulation and disordered glucose homeostasis which enhances insulin resistance, type 2 diabetes, and obesity deteriorating metabolic profile of PCOS. To offer novel insights into the etiology, pathogenesis, and treatment of PCOS, future population-based prospective case–control studies in compliance with family-based linkage studies involving a large number of individuals in various populations are clearly warranted. CLT is known as chronic lymphocytic thyroiditis. Ganie et al.[64] have reported that 170 girls (46 years age) with euthyroid CLT had higher hirsutism score, the lower number of annual menstrual cycles as well as higher insulin resistance score as compared to control girls, under the high prevalence of PCOS.

CONCLUSION AND FUTURE PERSPECTIVES

It is undoubtedly one of the most perplexing disorders posing threat to women's health, probably due to various manifestations of the disorder and lack of uniformly accepted diagnostic criteria. The pathogenesis of PCOS remains elusive, with contributions from insulin resistance, adipose tissue dysfunction, abnormal steroidogenesis, and hypothalamic–pituitary–ovarian dysregulation. Genetic variants and epigenetic environmental factors probably contribute to the dysregulation of these varied systems and raise new avenues of research investigation in the rapidly evolving field of PCOS. Despite rigorous research, certain questions are still unanswered so far. (i) As no single candidate gene has emerged as a convincing biomarker, so the future studies could be focused on selecting the appropriate genes as biomarkers for PCOS (ii) designing different therapeutic approaches to ameliorate additional complications such as metabolic syndrome, endometrial cancer, cardiovascular diseases, and mental health issues in later life; (iii) formulation of epigenetic studies to untangle the nature and nurture of the syndrome; (iv) need for globally agreed upon consensus on optimal diagnosis and management of PCOS; (v) conducting the large epidemiological studies worldwide to address the accurate burden of PCOS (vi) study of genetic polymorphism at wide scale to optimize individualized treatment; and (vii) increased awareness of PCOS and associated comorbidities to helps in early detection and management of PCOS. The possible roles of autoimmune phenomenon in the etiopathogenesis of PCOS and overexpression of certain genes of gonadotropin and neuroendocrine action, ovarian androgen biosynthesis, and insulin action in etiology of PCOS are suggested.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

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