Table 1_ApoB and LDL partially explain the association between family history of diabetes

A secondary analysis of the PCOSAct clinical trial investigates the association between family history of diabetes and reproductive outcomes in women with polycystic ovary syndrome. The dataset likely contains results from modified Poisson regression and predictive mediation analyses for 320 women who conceived, examining metabolic biomarkers like LDL and ApoB. The work was authored by Hang Ge and shared on figshare in 2026.

Use Cases

• Analyze risk ratios for clinical pregnancy based on family history of diabetes status.
• Perform predictive mediation analysis to explore how lipid parameters like LDL and ApoB explain associations.
• Model dose–response relationships between metabolic biomarkers and reproductive outcomes using restricted cubic splines.
• Calculate E-values to assess the potential influence of unmeasured confounding in clinical associations.

Strengths

• Analysis is based on a clinical trial cohort (PCOSAct), providing a structured study population.
• Results include specific statistical metrics like risk ratios (RR=0.82) and mediation percentages (21.1% for LDL).
• The dataset focuses on a specific subpopulation of 320 women who conceived, allowing targeted analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The file is a 16.7 KB DOCX document, suggesting the primary data may be embedded in text or tables rather than a raw data file.

Provenance

Source

figshare

Collection Method

Secondary analysis of the PCOSAct trial.

Freshness

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