PCOSAct Trial Data on Family Diabetes History, ApoB/LDL, and Clinical Pregnancy Outcomes

320 women with polycystic ovary syndrome who conceived in the PCOSAct trial form the core of this secondary analysis. Hang Ge authored this study to explore how elevated ApoB and LDL levels statistically explain part of the link between family history of diabetes and lower clinical pregnancy rates. The dataset, last updated in May 2026, includes metabolic biomarkers and reproductive outcomes.

Use Cases

• Train models to predict clinical pregnancy risk based on metabolic biomarkers like ApoB and LDL.
• Perform statistical mediation analysis to quantify how lipid parameters explain associations between family history and health outcomes.
• Investigate dose-response relationships between continuous lipid levels and binary reproductive outcomes using restricted cubic splines.

Strengths

• Data originates from a defined clinical trial cohort (PCOSAct trial), providing a structured study context.
• Analysis includes specific statistical results, such as a 25.3% mediation effect for ApoB and a 57.8% vs. 70.7% clinical pregnancy rate comparison.
• License is clearly defined as CC-BY-4.0, permitting open reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the full dataset is unknown, which may limit suitability assessment.
• The 16.1 KB file size suggests a very limited scope, likely containing summary or analysis results rather than raw patient-level data.

Provenance

Source

Secondary analysis of the PCOSAct trial.

Collection Method

Modified Poisson regression, predictive mediation analysis, and restricted cubic splines were used.

Freshness

Last updated 2026-05-25 06:05:43; freshness should be verified.