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The Influence of Study Quality, Age, and Geographic Factors on PCOS Prevalence-A Systematic Review and Meta-analysis
Mina Amiri1, Sana Hatoum1, Richard P Buyalos1,2
1Foundation for Research and Education Excellence, Vestavia, AL 35243, USA.
The Journal of Clinical Endocrinology and Metabolism
|January 6, 2025
Summary
Global Polycystic Ovary Syndrome (PCOS) prevalence varies by diagnostic criteria and age. High-quality studies show no significant regional disparities, emphasizing the need for robust assessment tools like the PEP tool.
Area of Science:
- Reproductive Endocrinology
- Epidemiology
- Women's Health
Background:
- Polycystic Ovary Syndrome (PCOS) is a widespread endocrine disorder with significant health implications.
- Existing global epidemiological data for PCOS is limited, hindering comprehensive understanding.
Purpose of the Study:
- To conduct a global estimation of Polycystic Ovary Syndrome (PCOS) prevalence.
- To analyze PCOS prevalence across different diagnostic criteria and demographic groups.
Main Methods:
- Systematic literature search of PubMed and Embase databases for PCOS studies in unselected populations up to February 2024.
- Inclusion of 88 studies encompassing 561,287 women, with quality assessment using the PCOS Epidemiology and Phenotype (PEP) tool.
Main Results:
- The Rotterdam criteria identified the highest PCOS prevalence, followed by AE-PCOS and NIH criteria. High-quality studies reported prevalences of 10.89% (Rotterdam), 10.61% (AE-PCOS), and 6.63% (NIH).
- No significant regional disparities in PCOS prevalence were found using NIH or Rotterdam criteria in high-quality studies. Data for the African Region was notably absent.
- A higher prevalence was observed in adults versus adolescents using the NIH criteria, though this difference lessened in high-quality studies.
Conclusions:
- Global PCOS prevalence estimates are influenced by diagnostic criteria and study quality.
- The findings underscore the importance of utilizing standardized, quality-assessment tools like the PEP tool for accurate PCOS epidemiological meta-analyses.
- Further research is needed to address data gaps, particularly in underrepresented regions and for specific age groups.
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