Literature DB >> 33593439

Metabolic profile of women with PCOS in Brazil: a systematic review and meta-analysis.

Ramon Bossardi Ramos1,2, Lucas Bandeira Marchesan3,1, Poli Mara Spritzer4,5,6,7, Monica de Oliveira8, Enrico Carmina9.   

Abstract

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrine disease affecting women of reproductive age and associated with reproductive and metabolic dysfunction. Few studies are available regarding metabolic traits in Brazilian women with PCOS. The aim of this systematic review and meta-analysis was to summarize the available evidence regarding metabolic traits and comorbidities in Brazilian women with polycystic ovary syndrome (PCOS).
METHODS: We systematically searched PubMed, Cochrane Central Register of Controlled Trials, and Embase for cross-sectional, case-control, or cohort studies focusing on populations of different regions from Brazil, published until July 31, 2019. Studies were selected if they reported PCOS diagnostic criteria. Studies without a control group were included if they presented relevant metabolic data.
RESULTS: Of 4856 studies initially identified, 27 were included in the systematic review and 12 were included in the meta-analysis, for a total of 995 women with PCOS defined by Rotterdam criteria and 2275 controls from different regions of Brazil. Obesity, metabolic syndrome and IGT were prevalent, and standard mean differences for BMI (SMD 0.67, 95% CI, 0.29, 1.05), waist circumference (SMD 0.22, 95% CI 0.02, 0.41), systolic (SMD 0.66, 95% CI 0.30, 1.01) and diastolic blood pressure (SMD 0.55, 95% CI 0.24, 0.87), glucose (SMD 0.21, 95% CI 0.04, 0.38) and HOMA (SMD 0.78, 95% CI 0.52, 1.04) were significantly higher in Brazilian women with PCOS compared to controls. Lipid profile was more adverse in PCOS vs. non-PCOS women. Between-study heterogeneities were low/moderate for glucose and HOMA and moderate/high for the other variables.
CONCLUSIONS: The data of this systematic review and meta-analysis indicate that Brazilian women with PCOS have a worse metabolic profile than women without PCOS with no important regional differences. The prevalence of metabolic changes is intermediate in Brazil vs. other countries.

Entities:  

Keywords:  Blood pressure; Brazil; Insulin resistance; Metabolic abnormalities; Obesity; Polycystic ovary syndrome

Year:  2021        PMID: 33593439     DOI: 10.1186/s13098-021-00636-5

Source DB:  PubMed          Journal:  Diabetol Metab Syndr        ISSN: 1758-5996            Impact factor:   3.320


  57 in total

1.  Prevalence, phenotype and cardiometabolic risk of polycystic ovary syndrome under different diagnostic criteria.

Authors:  Bulent Okan Yildiz; Gurkan Bozdag; Zuhal Yapici; Ibrahim Esinler; Hakan Yarali
Journal:  Hum Reprod       Date:  2012-07-09       Impact factor: 6.918

2.  Anthropometric, clinical and laboratory comparison of four phenotypes of polycystic ovary syndrome based on Rotterdam criteria.

Authors:  Mehmet Yilmaz; Unal Isaoglu; Ilhan Bahri Delibas; Sedat Kadanali
Journal:  J Obstet Gynaecol Res       Date:  2011-04-12       Impact factor: 1.730

3.  Prevalence of impaired glucose tolerance and diabetes in women with polycystic ovary syndrome.

Authors:  D A Ehrmann; R B Barnes; R L Rosenfield; M K Cavaghan; J Imperial
Journal:  Diabetes Care       Date:  1999-01       Impact factor: 19.112

4.  Clinical and endocrine characteristics of the main polycystic ovary syndrome phenotypes.

Authors:  Ettore Guastella; Rosa Alba Longo; Enrico Carmina
Journal:  Fertil Steril       Date:  2010-03-19       Impact factor: 7.329

Review 5.  The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis.

Authors:  Gurkan Bozdag; Sezcan Mumusoglu; Dila Zengin; Erdem Karabulut; Bulent Okan Yildiz
Journal:  Hum Reprod       Date:  2016-09-22       Impact factor: 6.918

6.  Prevalence of Polycystic Ovary Syndrome Phenotypes Using Updated Criteria for Polycystic Ovarian Morphology: An Assessment of Over 100 Consecutive Women Self-reporting Features of Polycystic Ovary Syndrome.

Authors:  Nina M Clark; Amanda J Podolski; Eric D Brooks; Donna R Chizen; Roger A Pierson; Denis C Lehotay; Marla E Lujan
Journal:  Reprod Sci       Date:  2014-02-11       Impact factor: 3.060

7.  Risk of metabolic complications in the new PCOS phenotypes based on the Rotterdam criteria.

Authors:  Rupal Shroff; Craig H Syrop; William Davis; Bradley J Van Voorhis; Anuja Dokras
Journal:  Fertil Steril       Date:  2007-04-26       Impact factor: 7.329

8.  Prevalence and predictors of risk for type 2 diabetes mellitus and impaired glucose tolerance in polycystic ovary syndrome: a prospective, controlled study in 254 affected women.

Authors:  R S Legro; A R Kunselman; W C Dodson; A Dunaif
Journal:  J Clin Endocrinol Metab       Date:  1999-01       Impact factor: 5.958

9.  The prevalence of polycystic ovary syndrome in a community sample assessed under contrasting diagnostic criteria.

Authors:  Wendy A March; Vivienne M Moore; Kristyn J Willson; David I W Phillips; Robert J Norman; Michael J Davies
Journal:  Hum Reprod       Date:  2009-11-12       Impact factor: 6.918

Review 10.  Polycystic ovary syndrome.

Authors:  Ricardo Azziz; Enrico Carmina; ZiJiang Chen; Andrea Dunaif; Joop S E Laven; Richard S Legro; Daria Lizneva; Barbara Natterson-Horowtiz; Helena J Teede; Bulent O Yildiz
Journal:  Nat Rev Dis Primers       Date:  2016-08-11       Impact factor: 52.329

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  1 in total

1.  Metabolic Features of Women With Polycystic Ovary Syndrome in Latin America: A Systematic Review.

Authors:  Lucas Bandeira Marchesan; Ramon Bossardi Ramos; Poli Mara Spritzer
Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-19       Impact factor: 5.555

  1 in total

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