CORRECTION article

Front. Pharmacol., 10 June 2025

Sec. Drugs Outcomes Research and Policies

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1636871

Correction: Association of early enoxaparin prophylactic anticoagulation with ICU mortality in critically ill patients with chronic obstructive pulmonary disease: a machine learning-based retrospective cohort study

Shan Lin
&#x;Shan Lin1*Jing Zhang&#x;Jing Zhang2Xin DangXin Dang1Qingyuan Zhan
Qingyuan Zhan3*
  • 1Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
  • 2Department of Otolaryngology Head and Neck Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
  • 3Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Center for Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China

Jing Zhang was erroneously assigned as a corresponding author, and Qingyuan Zhan was erroneously omitted as a corresponding author. The correct corresponding authors are Shan Lin and Qingyuan Zhan.

Author Qingyuan Zhan was erroneously assigned as equal contributing author, and Jing Zhang was erroneously omitted as equal contributing author. The equal contribution statement applies to Shan Lin and Jing Zhang.

The original version of this article has been updated.

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.

Keywords: enoxaparin, prophylactic anticoagulation, chronic obstructive pulmonary disease, critical care, prognosis, machine learning

Citation: Lin S, Zhang J, Dang X and Zhan Q (2025) Correction: Association of early enoxaparin prophylactic anticoagulation with ICU mortality in critically ill patients with chronic obstructive pulmonary disease: a machine learning-based retrospective cohort study. Front. Pharmacol. 16:1636871. doi: 10.3389/fphar.2025.1636871

Received: 28 May 2025; Accepted: 02 June 2025;
Published: 10 June 2025.

Edited and reviewed by:

Yonggang Zhang, Sichuan University, China

Copyright © 2025 Lin, Zhang, Dang and Zhan. 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: Shan Lin, ZHIuc2hhbmxpbkBmb3htYWlsLmNvbQ==; Qingyuan Zhan, ZHJ6aGFucXlAMTYzLmNvbQ==

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.