An incorrect Funding statement was provided. The correct funder is: The Foundation of Science and Technology Commission of Jilin Province (Grants No. YDZJ202401181ZYTS) the correct funding statement reads:
The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the Foundation of Science and Technology Commission of Jilin Province (Grant No. YDZJ202401181ZYTS).
The original version of this article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
liver abscess, invasive syndrome, multicenter study, predictive model, web-based calculator
Citation
Hao D-D, Shao G-Z, Wang X-L, Zhao C-C, Du J-L, Wang H, Ren Y-L, Song Y-Z and Wen X-Y (2026) Correction: Development and validation of a prediction model for invasive syndrome in liver abscess patients based on LASSO regression: a multi-center retrospective cohort study in China. Front. Med. 12:1756791. doi: 10.3389/fmed.2025.1756791
Received
29 November 2025
Revised
29 November 2025
Accepted
30 November 2025
Published
05 January 2026
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2025
Updates
Copyright
© 2026 Hao, Shao, Wang, Zhao, Du, Wang, Ren, Song and Wen.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiao-Yu Wen, xywen@jiu.edu.cn
†These authors have contributed equally to this work
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.