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Background GLP-1 receptor agonists (GLP-1RAs) address key metabolic drivers of Polycystic Ovary Syndrome (PCOS), yet their integration into fertility management remains challenging because reproductive efficacy is variably reported, preconception washout is required, and standardized clinical pathways are lacking. Main body We present a structured, fertility-centered, hypothesis-generating narrative synthesis of the metabolic–reproductive–pregnancy continuum in PCOS, integrating evidence from randomized trials, observational studies, reviews, and clinical guidance. Heterogeneous findings are organized by intervention/comparator, follow-up window, and key effect modifiers, including baseline obesity/insulin-resistance phenotype, concomitant metformin, and lifestyle co-interventions. The clinical framework is derived from this narrative synthesis rather than from quantitative reproductive meta-analysis. As a methodological proof-of-concept only, we additionally performed a Bayesian network meta-analysis restricted to body-weight change within a prespecified 12–16-weeks window in the largest connected treatment network. Because ovulation, clinical pregnancy, time to pregnancy, and live birth were inconsistently defined and sparsely reported across trials, no confirmatory quantitative synthesis or treatment ranking was undertaken for these reproductive outcomes. We therefore distinguish evidence domains explicitly, with relatively robust support for short-term metabolic benefit but substantially greater uncertainty for reproductive translation and periconception safety. Conclusion The narrative evidence supports positioning GLP-1RAs as time-limited, preconception metabolic-optimization tools, not as confirmed fertility-enhancing therapies per se . Their use in PCOS fertility care should be individualized through shared decision-making, with explicit discussion of the difference between established metabolic benefit and hypothesis-generating reproductive benefit, together with drug-specific washout planning and strategies to minimize post-discontinuation rebound. Future trials should standardize reproductive endpoints and systematically capture periconception exposure to enable confirmatory synthesis and individualized benefit–risk estimation.
Song et al. (Tue,) studied this question.