Basal Androgen Status as a Predictor of Ovarian Response in 299 Stimulation Cycles

299 stimulation cycles from a retrospective cohort study analyzing oocyte yield in relation to early follicular phase androgen levels. The dataset includes odds ratios and ROC curve data for testosterone and DHEAS as predictors of poor ovarian response, authored by M. L. Münch and last updated in April 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Predicting poor ovarian response based on androgen levels and AMH mentioned in the study.
• Evaluating the prognostic value of testosterone and DHEAS levels for oocyte yield.
• Training models to identify patients who may benefit from androgen supplementation prior to treatment.

Strengths

• Includes data from 299 stimulation cycles (216 normal and 83 poor response).
• Provides specific predictive thresholds and odds ratios (e.g., testosterone >0.21 ng/mL OR: 2.67).
• Compares predictive performance of androgen levels against AMH with reported AUC values.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal or demographic bias inherent to the single retrospective study.

Provenance

Source

figshare, author M. L. Münch.

Collection Method

Retrospective cohort study analyzing oocyte yield after controlled ovarian hyperstimulation.

Freshness

Last updated 2026-04-22 05:49:26; freshness should be verified.