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Development and external validation of a machine learning-based model to predict postoperative recurrence in patients with duodenal adenocarcinoma: a multicenter, retrospective cohort study

Crossref DOI link: https://doi.org/10.1186/s12916-025-03912-7

Published Online: 2025-02-21

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

Authors

Liu, Xu

Xiao, Qifeng

Gu, Zongting

Wu, Xin

Yuan, Chunhui

Tang, Xiaolong

Meng, Fanbin

Wang, Dong

Lang, Ren

Guo, Kaiqing

Tian, Xiaodong

Zhang, Yu

Zhao, Enhong

Wu, Zhenzhou

Xu, Jingyong

Xing, Ying

Cao, Feng

Wang, Chengfeng

Zhang, Jianwei
Funding

Funding for this research was provided by:

CAMS Innovation Fund for Medical Sciences (No. 2022-I2M-1-010)
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Text and Data Mining valid from 2025-02-21

Version of Record valid from 2025-02-21
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Article History

Received: 7 May 2024

Accepted: 26 January 2025

First Online: 21 February 2025

Declarations

:

: This study adheres to ethical standards and was ensured by conducting the study in compliance with the Declaration of Helsinki (revised in 2013), and ethical approval was secured from the Hospital Ethics Committee of the National Cancer Center (No. 22/213–3415). Written informed consent to participate in the study was obtained from all participants prior to their inclusion. No organs or tissues were obtained from vulnerable groups, including prisoners, in this study.

: Not applicable.

: The authors declare no competing interests.

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