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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
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
Abstract
BACKGROUND

Early identification of patients with colorectal cancer (CRC) at risk of lymph node metastasis (LNM) and delayed recovery of postoperative intestinal function may improve perioperative optimization, postoperative surveillance, and individualized treatment planning. Multivariate logistic regression is suitable for integrating heterogeneous perioperative variables and may provide practical support for early clinical risk stratification.

AIM

To identify risk factors and construct multivariate logistic regression models predicting delayed postoperative intestinal function recovery and LNM in CRC.

METHODS

This retrospective observational study included 197 patients with CRC who underwent radical resection. To analyze intestinal function recovery, 49 patients and 148 patients were assigned to the delayed and normal groups, respectively, based on delayed gastrointestinal function recovery. To analyze nodal status, 68 patients and 129 patients were assigned to the LNM-positive and LNM-negative groups, respectively, based on postoperative pathological findings. Univariate and multivariate analyses identified independent predictors, and area under the curve and decision curve analyses evaluated model performance.

RESULTS

The delayed group had significantly higher rates of preoperative hypoalbuminemia (30.6% vs 10.1%), blood loss > 50 mL (46.9% vs 18.2%), and T3-4 tumors (85.7% vs 58.1%) than the normal group. The delayed group also exhibited persistently higher postoperative C-reactive protein and lower albumin levels (all P < 0.05). The LNM-positive group had more poorly differentiated tumors (45.6% vs 17.1%), fewer harvested lymph nodes (< 12; 27.9% vs 10.1%), and higher fibrinogen levels than the LNM-negative group. Multivariate analysis confirmed that low albumin levels [odds ratio (OR) = 3.86], blood loss > 50 mL (OR = 2.77), and T3-4 stage (OR = 3.49) were independent risk factors for delayed gastrointestinal function recovery. Poor differentiation (OR = 4.39), < 12 lymph nodes harvested (OR = 4.10), and high fibrinogen (≥ 4 g/L, OR = 2.48) were independent risks for LNM.

CONCLUSION

The constructed multivariate logistic regression models may serve as useful adjuncts for perioperative risk stratification and individualized management, although their clinical generalizability requires validation in larger prospective multicenter studies.

Keywords: Multivariate logistic regression; Colorectal cancer; Postoperative intestinal function recovery; Lymph node metastasis; Laparoscopic surgery; Inflammation; Fibrinogen

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.

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