Reviews biomarkers for effective prognosis in PCOS, indicating implications for improved clinical decisions.
The combination of endocrine, metabolic, circadian, and RNA-based biomarkers offers a dynamic approach to PCOS prognostication. These biomarkers can improve the early diagnosis of high-risk patients, individual interventions, and reproductive and metabolic management. Future research should focus on validating these markers in large cohorts and developing predictive models to support clinical decision-making beyond static diagnostic criteria.
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Singh et al. (2026) studied this question.
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