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Early postoperative prediction of gastrointestinal bleeding after surgery for acute type A aortic dissection: a five-variable logistic regression model benchmarked against machine learning

Crossref DOI link: https://doi.org/10.1186/s12872-026-06471-8

Published Online: 2026-08-15

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

Authors

Yang, Yi

Jia, Bo

Ge, Yipeng

Li, Chengnan

Qi, Ruidong

Yu, Hai

Xiao, Fucheng

Hu, Haiou

Qiao, Zhiyu

Zhu, Junming
Funding

Funding for this research was provided by:

Noncommunicable Chronic Diseases-National Science and Technology Major Project (Project No. 2023ZD0504400; Subproject No. 2023ZD0504401)
License Information

Text and Data Mining valid from 2026-08-15

Accepted Manuscript valid from 2026-08-15
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Article History

Received: 5 June 2026

Accepted: 11 August 2026

First Online: 15 August 2026

Declarations

Ethics approval and consent to participate: This study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of Beijing Anzhen Hospital, Capital Medical University (approval no. 2026178x). The requirement for individual informed consent was waived for this retrospective analysis of de-identified clinical data.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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