Table 2_ApoB and LDL partially explain the association between family history of diabetes

Hang Ge published a secondary analysis of the PCOSAct trial on figshare in 2026. The dataset likely contains results from a study investigating the association between family history of diabetes and clinical pregnancy rates in 320 women with PCOS who conceived. It explores how baseline lipid parameters like ApoB and LDL statistically explain part of this association.

Use Cases

• Train models to predict clinical pregnancy outcomes based on metabolic features like BMI, waist-to-height ratio, and lipid levels.
• Perform statistical mediation analysis to understand how biomarkers like ApoB and LDL explain associations between family history and health outcomes.
• Study dose-response relationships between continuous lipid parameters and reproductive success using restricted cubic spline models.

Strengths

• Dataset is derived from the PCOSAct clinical trial, a defined research cohort.
• Analysis includes specific statistical results, such as a 57.8% vs. 70.7% clinical pregnancy rate difference and mediation proportions of 21.1% and 25.3%.
• License is clearly defined as CC-BY-4.0, facilitating open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 15.3 KB file size suggests the dataset is very small, likely containing summary 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 applied to clinical trial data.

Freshness

Last updated 2026-05-25 06:05:44; freshness should be verified.