The predictive value of the metabolic score for insulin resistance for metabolism-related disorders and fertility outcomes in Chinese women with polycystic ovary syndrome
In women with PCOS, Mets-IR demonstrates significant associations with both metabolic and hormonal parameters and exhibits superior predictive ability over BMI for key hormonal markers (SHBG, FAI, AMH). This index serves as an effective non-invasive predictor for IR, MetS, and NAFLD. For the assessment of ovulatory dysfunction, its predictive performance is comparable to that of BMI, yet it demonstrates no significant association with other fertility outcomes.
Authors
- Jiaxing Feng (ORCID: https://orcid.org/0000-0003-4493-3534)
- Zhiliang Gao (ORCID: https://orcid.org/0000-0002-1426-6462)
- Jingshu Gao
- Jianghong Yu (ORCID: https://orcid.org/0000-0002-1441-1500)
- Hong‐Ren Yu (ORCID: https://orcid.org/0000-0003-1242-8760)
- Baichao Shi
- Mingzhi Guan (ORCID: https://orcid.org/0000-0002-2148-5268)
- Yang Liu (ORCID: https://orcid.org/0000-0001-7747-5504)
- Yu Wang (ORCID: https://orcid.org/0009-0009-4141-2945)
- Fengjuan Lu
- Xiaoke Wu (ORCID: https://orcid.org/0000-0002-8339-9242)
- Jing Cong
- Hongli Ma
Institutions
- Zhejiang Chinese Medical University (CN)
- Heilongjiang University of Chinese Medicine (CN)
- First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-12-05
- DOI
- https://doi.org/10.3389/fendo.2025.1716287
- Primary Topic
- Ovarian function and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00