Literature DB >> 31405703

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

Ali Khorshidi1, Milad Azami2, Samira Tardeh2, Zeinab Tardeh3.   

Abstract

INTRODUCTION: Polycystic ovary syndrome (PCOS) is an endocrinopathy with unknown pathophysiology among women of reproductive age. Several studies have been conducted to determine the prevalence of metabolic syndrome (MetS) among PCOS patients. However, the results were contradictory. The present study was conducted to evaluate the prevalence of MetS in PCOS patients using the related published data.
METHOD: The present systematic review was perfumed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search was done using MeSH keywords in databases of PubMed, Scopus, Embase, CINAHL, Web of Science, Cochrane Library, EBSCO, and Google scholar search engine as well as the reference list of the retrieved papers without time limit until October 2018. We used Cochran's Q test and I2 Index to evaluate the heterogeneity among the studies and the random effects model was used to combine the results. Data analysis was performed using Stata ver. 11.1.
RESULTS: Forty six studies including 8946 patients with PCOS were included in the final analysis. Total heterogeneity was high (I2: 91.43%, P < 0.001). The prevalence of MetS in PCOS patients was estimated to be 30% (95%CI: 27-33). Subgroup analysis based on MetS diagnostic criteria showed an estimated prevalence of 0.27% (95%CI: 0.18-0.37), 0.30% (95%CI: 0.27-0.34), 0.32 (95%CI: 0.25-0.39), 0.32 (95%CI: 0.27-0.37) and 0.24 (95%CI: 0.14-0.34) for IDF, NECP-ATPIII, AHA NHLBI, CDS, and unknown criteria, respectively.
CONCLUSION: Considering the prevalence of MetS in PCOS patients, diagnosis of MetS in PCOS patients is necessary to reduce the mortality and morbidity rates.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Metabolic syndrome; Polycystic ovary syndrome; Prevalence

Mesh:

Year:  2019        PMID: 31405703     DOI: 10.1016/j.dsx.2019.06.008

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  6 in total

1.  Correlation Between Recovery of Menstrual Cycle and Improvement of Glucose and Lipid Metabolism in Patients with Sleeve Gastrectomy in a Small Chinese Cohort Sample.

Authors:  Yu Ran; Qiang Yi; Cong Li
Journal:  Diabetes Metab Syndr Obes       Date:  2020-12-01       Impact factor: 3.168

2.  Evaluation of Novel Obesity and Lipid-Related Indices as Indicators for the Diagnosis of Metabolic Syndrome and Premetabolic Syndrome in Chinese Women with Polycystic Ovary Syndrome.

Authors:  Qianqian Yin; Jianhua Zheng; Yijuan Cao; Xiaonan Yan; Hong Zhang
Journal:  Int J Endocrinol       Date:  2021-08-17       Impact factor: 3.257

3.  Metabolic impact of current therapeutic strategies in Polycystic Ovary Syndrome: a preliminary study.

Authors:  María Victoria De Diego; Olga Gómez-Pardo; Janette Kirk Groar; Alejandro López-Escobar; Irene Martín-Estal; Inma Castilla-Cortázar; Miguel Ángel Rodríguez-Zambrano
Journal:  Arch Gynecol Obstet       Date:  2020-08-08       Impact factor: 2.344

4.  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.

Authors:  Yi-Fei Sun; Jie Zhang; Yue-Ming Xu; Zi-Yu Cao; Yi-Zhuo Wang; Gui-Min Hao; Bu-Lang Gao
Journal:  Front Endocrinol (Lausanne)       Date:  2020-12-03       Impact factor: 5.555

Review 5.  The incidence of gestational diabetes mellitus among women with polycystic ovary syndrome: a meta-analysis of longitudinal studies.

Authors:  Qingzi Yan; Dan Qiu; Xiang Liu; Qichang Xing; Renzhu Liu; Yixiang Hu
Journal:  BMC Pregnancy Childbirth       Date:  2022-04-29       Impact factor: 3.105

6.  Current Resources for Evidence-Based Practice, May 2020.

Authors:  Marit L Bovbjerg
Journal:  J Obstet Gynecol Neonatal Nurs       Date:  2020-04-10
  6 in total

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