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ORIGINAL RESEARCH article

Front. Med.

Sec. Gastroenterology

This article is part of the Research TopicEvaluating surgical techniques and perioperative strategies in colorectal cancer treatmentView all 10 articles

Analysis of risk factors for anastomotic fistula in patients after laparoscopic radical resection for rectal cancer

Provisionally accepted
Jun  WeiJun Wei*Ruijuan  JiaRuijuan JiaLei  QiuLei QiuHaining  GanHaining GanJunxian  LiangJunxian Liang
  • Department of Gastrointestinal Surgery, The Second People's Hospital of Foshan, Foshan, China

The final, formatted version of the article will be published soon.

Abstract Objective: To investigate high-risk factors for anastomotic fistula after laparoscopic radical resection of rectal cancer and establish a prediction model. Methods: This is a retrospective cohort study included a total of 306 patients diagnosed with rectal cancer who underwent laparoscopic radical resection in the Second People's Hospital of Foshan from January 2022 to December 2024. The patients were randomly divided into a training set (N=214) and a validation set (N=92) in a 7:3 ratio. Models were constructed using univariate logistic regression analysis and multivariate logistic regression analysis based on the training set. Subsequently, the predictive capability of the model was evaluated using calibration curves, receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and validation sets. Results: The training set included 29 patients (13.6%) who developed anastomotic fistulas postoperatively. The study identified five predictive factors: gender (P=0.032, OR=2.68, 95%CI=1.09-6.61), tumor stage (P=0.008, OR=3.66, 95%CI=1.41-9.49), tumor location (P=0.046, OR=2.53, 95%CI=1.02-6.30), surgical duration (P=0.031, OR=2.72, 95%CI=1.10-6.76), and hypoalbuminemia (P=0.005, OR=4.28, 95%CI=1.56-11.72). The AUC of the training set is 0.776 (95% CI = 0.673-0.879). The calibration curve validation showed that the predicted and measured values were in general agreement. DCA highlighted the model's clinical utility. Conclusion: The predictive model established in this study provides a tool for clinicians to identify high-risk patients for anastomotic fistula formation following laparoscopic radical rectal cancer surgery at an early stage. This facilitates early identification, detection, intervention and prevention of high-risk anastomotic fistula patients, thereby effectively reducing the risk of anastomotic fistula formation following laparoscopic radical rectal cancer surgery.

Keywords: Anastomotic fistula, hypoalbuminaemia, predictive model, rectal cancer, Tumour staging

Received: 15 Sep 2025; Accepted: 11 Dec 2025.

Copyright: © 2025 Wei, Jia, Qiu, Gan and Liang. 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) or licensor 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: Jun Wei

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