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Comprehensive evaluation of triglyceride glucose index–a body shape index (TyG–ABSI) for incident peripheral artery disease: data-driven phenotyping and machine learning-based risk prediction in the UK Biobank

Crossref DOI link: https://doi.org/10.1186/s12933-026-03116-0

Published Online: 2026-03-09

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

Authors

Zhao, Wenxin

Li, Xiaolu

Zhang, Xihao

Guo, Yaming

Zhang, Bowen

Cao, Yifan

Diao, Yongpeng

Wu, Zhiyuan

Lu, Chengran

Chen, Zuoguan

Lan, Yong

Li, Yongjun
Funding

Funding for this research was provided by:

National High-Level Hospital Clinical Research Funding (BJ-2024-093)

National High-Level Hospital Clinical Research Funding (BJ-2024-247)

National High-Level Hospital Clinical Research Funding (BJ-2024-142)

Beijing Natural Science Foundation (L256072)

CAMS Innovation Engineering Project (2025-I2M-TS-18)
License Information

Text and Data Mining valid from 2026-03-09

Version of Record valid from 2026-04-13
More Information

Article History

Received: 2 December 2025

Accepted: 9 February 2026

First Online: 9 March 2026

Declarations

:

: UK Biobank was constructed under ethical approval obtained by the North West Multi-Centre Research Ethics Committee (REC reference: 21/NW/0157), and all participants provided written informed consent prior to participation. The current analyses were carried out under Application Number 999810.

: Not applicable.

: The authors declare that they have no competing interests.

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