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TRV-2026-1034Certified recordPeer-reviewed

Causal adiposity and clinical validation of regional fat distribution in PMOS: a multi-modal analysis integrating GBD 2021, Mendelian randomization, and machine learning

Background Polyendocrine metabolic ovarian syndrome (PMOS), previously named polycystic ovary syndrome (PCOS), is the most common endocrine disorder among women of reproductive age and a leading cause of anovulatory infertility. However, the evolving global burden of PMOS and the role of adiposity, particularly regional fat distribution, remain incompletely understood. We integrated global epidemiological analysis, genetic causal inference, and clinical prediction modeling to investigate the burden and adiposity…

Health · G Space — documented gain · certified 2026-09-09 · v1 · article view · machine-readable

Current reading — gain

XGBoost model predicted PMOS status from detailed body-composition measures with AUC 0.701 in testing, with SHAP highlighting regional fat masses as top predictors.

What this doesn’t fix

Models were only internally validated in a single clinical cohort, limiting generalizability beyond that population.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-1034, v1: “Causal adiposity and clinical validation of regional fat distribution in PMOS: a multi-modal analysis integrating GBD 2021, Mendelian randomization, and machine learning.” Truvace, 2026-09-09. /record/TRV-2026-1034 (accessed at citation time). sha256 bd9e98378c328704…

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