The prevalence of metabolic syndrome in patients with polycystic ovary syndrome: A systematic review and meta-analysis

Khorshidi, Ali; Azami, Milad; Tardeh, Samira; Tardeh, Zeinab

doi:10.1016/j.dsx.2019.06.008

Cited by 17 publications

(9 citation statements)

References 48 publications

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“…If the OR is >1, this factor is a risk factor; otherwise the factor is a protective factor. The homogeneity of effect size across studies was tested by Q statistics, and the I 2 statistics was used to measure the inconsistency of risk factors’ effects across studies, with I 2 of 0–24% indicating slight heterogeneity, 25-49% moderate heterogeneity, 50–75% substantial heterogeneity, and over 75% considerable heterogeneity ( 46 ). If the article was homogeneous (P<0.1 or I 2 >25%), the fixed effect model (Mantel-Haenszel method) was chosen to test the additional uncertainty associated with the risk factors of different abortion rates in patients with and without PCOS.…”

Section: Methodsmentioning

confidence: 99%

High BMI and Insulin Resistance Are Risk Factors for Spontaneous Abortion in Patients With Polycystic Ovary Syndrome Undergoing Assisted Reproductive Treatment: A Systematic Review and Meta-Analysis

Sun

Zhang

et al. 2020

Front. Endocrinol.

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BackgroundThe risk of spontaneous abortion in patients with polycystic ovary syndrome (PCOS) undergoing assisted reproductive treatment (ART) is higher than that in patients without PCOS, however, no definitive risk factors have been confirmed to associate with the high spontaneous abortion rate in PCOS patients undergoing ART. This study was performed to assess the impact of relevant risk factors on spontaneous abortion in patients with PCOS. Clinical questions were formulated and organized according to the PICOS principle.MethodsA systematic review and meta-analysis were conducted on all published studies on PCOS and spontaneous abortion in Embase, PubMed, Web of Science and Cochrane Library. Related risk factors included body mass index (BMI), age, insulin resistance (IR), hyperandrogenism, and chromosome aberrations. All patients were diagnosed as PCOS using the Rotterdam criteria. The primary endpoint was miscarriage and live birth rate. Fixed-effect models were used to analyze homogeneous data, and subgroup and sensitivity analyses were performed on heterogeneous data. The source of heterogeneity was evaluated, and the random effect model was used to summarize the heterogeneity.ResultsAmong 1836 retrieved articles, 22 were eligible and included in the analysis with 11182 patients. High BMI (OR = 1.48, 95% CI [1.32, 1.67], MD = 1.35, 95% CI [0.58,2.12]) and insulin resistance (MD = 0.32, 95% CI [0.15, 0.49]) were associated with an increased risk of spontaneous abortion in PCOS patients undergoing ART. Older age (OR = 0.29, 95% CI [0.29, 0.44], MD = 2.01, 95% CI [0.04, 4.18]), embryonic chromosomal aberrations (OR = 0.75, 95%CI [0.31,1.77]), and hyperandrogenism (MD = 0.10, 95% CI [- 0.02, 0.22]) were not associated with the high spontaneous abortion rate in patients with PCOS. A subgroup analysis of BMI showed that there was no statistically significant difference in the effect between overweight and obesity on spontaneous abortion in PCOS patients undergoing ART (OR = 1.34, 95% [0.97, 1.85]).ConclusionHigh BMI and insulin resistance are two risk factors for an increased risk of spontaneous abortion in PCOS patients undergoing ART, and losing weight and mitigating insulin resistance may decrease the spontaneous abortion rate in these patients undergoing ART.

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Section: Methodsmentioning

confidence: 99%

High BMI and Insulin Resistance Are Risk Factors for Spontaneous Abortion in Patients With Polycystic Ovary Syndrome Undergoing Assisted Reproductive Treatment: A Systematic Review and Meta-Analysis

Sun

Zhang

et al. 2020

Front. Endocrinol.

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“…There seems to be an overlap of pathogenesis between PCOS and MetS as both of these conditions could involve insulin resistance (IR) [7]. Several studies reported that women with PCOS had an increased risk of MetS [8][9][10]. It was reported that the prevalence of MetS in adolescents with PCOS was likely higher than that in adolescents without PCOS [6,11], but the effect of obesity was not accounted for properly, and an analysis of the components of MetS also needs to be performed in detail.…”

Section: Introductionmentioning

confidence: 99%

The Association Between Polycystic Ovary Syndrome and Metabolic Syndrome in Adolescents: a Systematic Review and Meta-analysis

Xie

et al. 2022

Reprod. Sci.

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The association between polycystic ovary syndrome (PCOS) and metabolic syndrome (MetS) is not widely recognized or properly assessed in adolescents. The aim of this study was to conduct a systematic review and meta-analysis to provide reliable results concerning MetS development in adolescents with PCOS. We searched studies published in PubMed, Medline, and Web of Science from January 2010 to December 2020. The quality of studies was assessed by the Newcastle–Ottawa Scale (NOS), and the data analysis was performed with Stata 14.0. Twelve articles were finally included in the systematic review and meta-analysis. The results suggested that adolescents with PCOS have more than three times the odds of having MetS than controls (OR 3.32, 95% CI [2.14, 5.14]). Obese adolescents with PCOS also had a higher risk of MetS than those with obesity but without PCOS (OR 3.97, 95% CI [1.49, 10.53]). Compared to those without PCOS, systolic blood pressure was higher in adolescents with PCOS (weighted mean difference (WMD) 3.85, 95% CI [1.73, 5.97]), while diastolic blood pressure was higher only in girls with PCOS who had a normal weight (WMD 3.52, 95% CI [1.57, 5.48]). The levels of triglycerides were higher in obese adolescents with PCOS than in those with obesity but without PCOS (WMD 27.84, 95% CI [10.16, 45.51]). PCOS could increase the frequency of MetS by influencing blood pressure and lipid metabolism independent of obesity as early as the adolescent period. Thus, clinicians should perform early interventions in adolescents with PCOS and follow up the relevant indicators of MetS to decrease the risk of poor long-term prognosis.

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“…Improving lifestyle and controlling body weight can improve the clinical symptoms of PCOS and improve the menstrual cycle to a certain extent, and this clinical effect has been confirmed by the literature. 5 But the components of blood lipids that affect the adjustment of menstrual cycle have not been reported.…”

Section: Introductionmentioning

confidence: 99%

<p>Correlation Between Recovery of Menstrual Cycle and Improvement of Glucose and Lipid Metabolism in Patients with Sleeve Gastrectomy in a Small Chinese Cohort Sample</p>

Ran

2020

DMSO

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Objective: To analyze the status of insulin resistance and hyperlipidemia in the regulation of menstrual cycle in patients undergoing sleeve gastrectomy (LSG). Materials and Methods: Retrospective analysis of a typical metabolic syndrome population: 65 cases of sexually mature women underwent weight reduction surgery from January 2015 to June 2018, and for 35 of these cases we collected all clinical data including age, menstrual status, body mass index (BMI), waist-to-hip ratio (WHR), blood lipid level, homeostasis model assessment in insulin resistance (HOMA-IR) and free androgen index (FAI). Sixteen of these patients had menstrual disorder that was characterized by oligomenorrhea and their menstrual cycle was >2 months or <24 days before operation, while their menstrual cycle recovered approximately 1 month to one year after sleeve gastrectomy. Results: The age of our 35 patients with metabolic syndrome was 15-40 years; 19 cases were in the menstrual regularity group and 16 cases in the menstrual disorder group. On analysis of metabolic factors in the two groups, only BMI and FAI distribution in the two groups were statistically different, while lipid levels and insulin resistance levels for abnormal menstrual cycle were not statistically significant. The analysis of blood lipid components showed that high triglyceride levels and high cholesterol levels increased the occurrence of menstrual disorders. Conclusion: BMI can be used as one of the important metabolic indicators of menstrual disorders in patients with metabolic syndrome. Excess androgen can increase the occurrence of menstrual disorders, leading to polycystic ovarian syndrome (PCOS). Although insulin resistance is universal in patients with metabolic syndrome, it is not a specific factor that affects menstrual cycle. Hyperlipidemia, especially triglyceride composition, may be one of the driving factors of menstrual disorder.

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The prevalence of metabolic syndrome in patients with polycystic ovary syndrome: A systematic review and meta-analysis

Cited by 17 publications

References 48 publications

High BMI and Insulin Resistance Are Risk Factors for Spontaneous Abortion in Patients With Polycystic Ovary Syndrome Undergoing Assisted Reproductive Treatment: A Systematic Review and Meta-Analysis

High BMI and Insulin Resistance Are Risk Factors for Spontaneous Abortion in Patients With Polycystic Ovary Syndrome Undergoing Assisted Reproductive Treatment: A Systematic Review and Meta-Analysis

The Association Between Polycystic Ovary Syndrome and Metabolic Syndrome in Adolescents: a Systematic Review and Meta-analysis

<p>Correlation Between Recovery of Menstrual Cycle and Improvement of Glucose and Lipid Metabolism in Patients with Sleeve Gastrectomy in a Small Chinese Cohort Sample</p>

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