A high-risk prediction model for endometrial cancer: exploring the synergistic interaction between polycystic ovary syndrome and metabolic syndrome

Our PCOS-MetS interaction-based EC risk prediction model showed robust and consistent performance across multiple validation cohorts. This tool significantly improves early detection accuracy and holds substantial clinical promise, laying the foundation for personalized EC risk management strategies.

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Publication Details

Journal
American Journal of Cancer Research
Published
2025-01-01
DOI
https://doi.org/10.62347/zzpa6435
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
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article

A high-risk prediction model for endometrial cancer: exploring the synergistic interaction between polycystic ovary syndrome and metabolic syndrome

Qian Xu
2 links
American Journal of Cancer Research
Cancer, Lipids, and Metabolism
article

A high-risk prediction model for endometrial cancer: exploring the synergistic interaction between polycystic ovary syndrome and metabolic syndrome

Qian Xu
article en

Abstract

Our PCOS-MetS interaction-based EC risk prediction model showed robust and consistent performance across multiple validation cohorts. This tool significantly improves early detection accuracy and holds substantial clinical promise, laying the foundation for personalized EC risk management strategies.

American Journal of Cancer ResearchVol. 15(8)
Central South University (CN), The First People's Hospital of Changde (CN)
Zero hunger
Openalex Percentile: Top 72%
Cancer, Lipids, and Metabolism
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