Data-driven subtypes of polycystic ovary syndrome and their association with clinical outcomes
An erratum to this article was published (Nat Med, Dec 2025 ↗)
Authors' conclusion
These findings advance understanding of PCOS heterogeneity and provide a framework for subtype-based risk stratification and personalized management.
Study context
- Population
- Women with polycystic ovary syndrome (PCOS)
- Participants
- 11,908 women5 validation cohorts
- Exposure
- Four data-driven PCOS subtypes
- Outcome
- PCOS subtypes and reproductive and metabolic trajectories
- Follow-up
- 6.5-year follow-up
Methodological detailsdata-driven subtyping, validated across 5 international cohorts, prospective follow-up
- Data-driven subtyping
- Validated across 5 international cohorts
- Prospective follow-up
Main finding
As reported in the abstract
- Four reproducible subtypes identified by unsupervised clustering of 9 clinical variables
- 4
Observational data: associations, not effects.
Original publication
Data-driven subtypes of polycystic ovary syndrome and their association with clinical outcomes. Nat Med. Published 29 October 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →