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Letter to the Editor
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Oct 27, 2025; 17(10): 110368
Published online Oct 27, 2025. doi: 10.4240/wjgs.v17.i10.110368
From static thresholds to dynamic trends: Reassessing serum calcium in anastomotic leakage prediction
Jiang-Peng Zhu, Yu-Tong Chen, Guang-Yao Li
Jiang-Peng Zhu, Department of Gastrointestinal Surgery, The Second People’s Hospital of Wuhu, Wuhu 241000, Anhui Province, China
Yu-Tong Chen, Department of Oncology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Provincial Hospital Affiliated to Fuzhou University, Fuzhou 350000, China
Guang-Yao Li, Department of General Surgery, The Second People’s Hospital of Wuhu, Wuhu 241000, Anhui Province, China
Co-first authors: Jiang-Peng Zhu and Yu-Tong Chen.
Co-corresponding authors: Yu-Tong Chen and Guang-Yao Li.
Author contributions: Zhu JP and Chen YT contributed equally as co-first authors; Zhu JP contributed to writing, reviewing, and editing; Li GY wrote the original draft; Chen YT contributed to conceptualization, writing, reviewing, and editing; Chen YT and Li GY contributed equally as co-corresponding authors. All authors have read and approved the final version of the manuscript.
Supported by Clinical Translational Medicine Project of the Department of Science and Technology of Anhui Province, No. 202427b10020138.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Guang-Yao Li, Department of General Surgery, The Second People’s Hospital of Wuhu, No. 259 Jiuhua Middle Road, Jinghu District, Wuhu 241000, Anhui Province, China. 18409444@masu.edu.cn
Received: June 5, 2025
Revised: July 3, 2025
Accepted: August 22, 2025
Published online: October 27, 2025
Processing time: 141 Days and 11.8 Hours
Core Tip

Core Tip: This letter evaluates Kang et al’s machine learning model predicting anastomotic leakage post-rectal surgery. It emphasizes the need for dynamic serum calcium modeling, integration of inflammatory and nutritional biomarkers (e.g., C-reactive protein, procalcitonin, neutrophil-to-lymphocyte ratio, systemic immune-inflammation index), and broader validation strategies. Specific modeling suggestions are provided to enhance the model’s translational potential and alignment with real-world clinical settings.