Qiang JH, Cheng J, Meng F, Zhang SQ. Application of multivariate logistic regression in predicting postoperative intestinal function recovery and lymph node metastasis in colorectal cancer. World J Gastrointest Surg 2026; 18(9): 119675 [DOI: 10.4240/wjgs.119675]
Corresponding Author of This Article
Shi-Qiang Zhang, MD, Department of Hematology and Oncology, Xishan People’s Hospital, No. 1128 Dacheng Road, Wuxi 214105, Jiangsu Province, China. zhangshiqiang711@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
research-article
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Surg. Sep 27, 2026; 18(9): 119675 Published online Sep 27, 2026. doi: 10.4240/wjgs.119675
Application of multivariate logistic regression in predicting postoperative intestinal function recovery and lymph node metastasis in colorectal cancer
Jin-Hu Qiang, Jie Cheng, Fang Meng, Shi-Qiang Zhang
Jin-Hu Qiang, Jie Cheng, Fang Meng, Shi-Qiang Zhang, Department of Hematology and Oncology, Xishan People’s Hospital, Wuxi 214105, Jiangsu Province, China
Author contributions: Qiang JH conceived and designed the study, coordinated data collection, performed statistical analyses, and drafted the manuscript; Cheng J and Meng F participated in patient enrollment, data acquisition, and data interpretation and assisted in manuscript revision; Zhang SQ supervised the study, provided critical intellectual input, and served as the corresponding author responsible for the integrity of the work; and all authors thoroughly reviewed and endorsed the final manuscript.
AI contribution statement: All replies are completed and replied by ourselves. We confirm that this manuscript and the documents replied to the reviewer are written, modified and approved by us in person without using artificial intelligence auxiliary tools. All authors are fully responsible for the completeness, accuracy, originality and scientific rigor of this manuscript.
Institutional review board statement: This study was approved by the Medical Ethics Committee of Xishan People’s Hospital in Wuxi, approval No. xs2021ky029.
Informed consent statement: All study participants or their legal guardians provided written informed consent before study enrollment.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: Data are available from the corresponding author on reasonable request.
Corresponding author: Shi-Qiang Zhang, MD, Department of Hematology and Oncology, Xishan People’s Hospital, No. 1128 Dacheng Road, Wuxi 214105, Jiangsu Province, China. zhangshiqiang711@163.com
Received: March 27, 2026 Revised: April 27, 2026 Accepted: June 2, 2026 Published online: September 27, 2026 Processing time: 171 Days and 22.4 Hours
Core Tip
Core Tip: Lymph node metastasis and delayed recovery of postoperative intestinal function are critical factors influencing short-term recovery and long-term prognosis in patients with colorectal cancer. Using outcome-based grouping, we constructed and validated multivariate logistic regression models that integrated readily available perioperative clinical, pathological, and laboratory variables. The models identified key independent risk factors including preoperative hypoalbuminemia, intraoperative blood loss, tumor stage, tumor differentiation, lymph node yield, and fibrinogen levels. With good discrimination and clinical benefit demonstrated by receiver operating characteristic and decision curve analyses, these models provide early risk stratification, individualized perioperative management, and optimized clinical decision-making in colorectal cancer surgery.
