Meta-Analysis of PCOS and Metabolic Syndrome in Adolescents
by Yuhui Tu·Updated 2mo ago
14.3 KB1files
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Description
Figshare hosts a 14.3 KB DOCX document containing a systematic review and meta-analysis by Yuhui Tu, published in 2026. The analysis synthesizes results from 13 observational studies involving 1,789 adolescent participants (1,005 with PCOS, 784 controls). It quantifies the association between PCOS and metabolic syndrome, reporting pooled odds ratios and weighted mean differences for specific metabolic components.
Use Cases
Extract the pooled odds ratio (OR: 2.61) for metabolic syndrome risk in adolescents with PCOS for epidemiological modeling.
Analyze the weighted mean differences for waist circumference (WMD: 3.23 cm), systolic blood pressure (WMD: 3.80 mmHg), and triglycerides (WMD: 5.76 mg/dL) to identify key metabolic abnormalities.
Compare the reported confidence intervals and p-values across the 13 included studies to assess evidence strength for different metabolic syndrome components.
Use the participant counts (1,005 PCOS, 784 controls) and study designs (5 cross-sectional, 6 case-control, 2 cohort) to inform sample size calculations for related clinical research.
Strengths
Analysis is based on a synthesis of 13 distinct observational studies.
Includes data from 1,789 total adolescent participants for pooled estimates.
Provides specific quantitative results like an odds ratio of 2.61 for metabolic syndrome risk.
Clear methodological reporting using random-effects models for meta-analysis.
Limitations
The dataset is a 14.3 KB text document (DOCX), not a structured data table, limiting direct computational analysis.
Sample data and column definitions are unavailable, requiring manual extraction of figures and statistics from the prose.
The underlying studies have varied designs (cross-sectional, case-control, cohort), which may introduce heterogeneity.
Provenance
Source
Yuhui Tu via figshare.
Collection Method
Systematic review and meta-analysis of studies from PubMed, Embase, Cochrane Library, and Web of Science.
Time Range
Studies published up to September 2025.
Freshness
Last updated March 2026.
Geography
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File is a DOCX document containing textual analysis; users must manually extract numerical results. Licensed under CC BY 4.0.