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Sex-specific prediction models for aortic aneurysm integrating traditional clinical risk factors and proteomic profiles: a large-scale prospective study from the UK Biobank

Crossref DOI link: https://doi.org/10.1186/s13293-026-00913-w

Published Online: 2026-05-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Han, Xuefei

Ding, Jiacheng

Feng, Suyin

Li, Yunqian

Gao, Yiyin

Sun, Runfeng
License Information

Text and Data Mining valid from 2026-05-11

Accepted Manuscript valid from 2026-05-11
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Article History

Received: 5 March 2026

Accepted: 26 April 2026

First Online: 11 May 2026

Declarations

:

: The study was approved by both the National Health Service (NHS) National Research Service (ref: 11/NW/0382) and the Institutional Review Board of the Tulane University (study number: 2018 − 1872). The research conducted within the UK Biobank has been approved by the North West Multi-Centre Research Ethics Committee, and all study participants provided informed consent. The project number for this study is 629227.

: Not applicable.

: The authors declare no competing interests.

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