ArticleThe Journal of international medical research2020
Prediction model for anastomotic leakage after laparoscopic rectal cancer resection.
Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Clinical efficacy of anastomotic reinforcement suture in preventing anastomotic leakage after rectal cancer surgery: a systematic review and meta-analysis.Langenbeck's archives of surgery · 2023Pooled it
- Systematic review of preoperative and intraoperative colorectal Anastomotic Leak Prediction Scores (ALPS).BMJ open · 2023Pooled it
- Risk factors for catheter-related complications after ultrasound-guided percutaneous transhepatic biliary drainage in malignant obstructive jaundice.BMC surgery · 2026Article
- Preoperative clinical and laboratory factors associated with early complications after low anterior resection: Exploratory analysis of the eosinophil/lymphocyte ratio.World journal of gastrointestinal surgery · 2026Article
- Reducing AL After Double-Stapling Anastomosis: A Novel Laparoscopic Technique for Dog Ear Area Resection.Journal of gastrointestinal cancer · 2025Article
- Clinical prediction model for anastomotic leakage in rectal cancer surgery: a single-center large-sample cohort study.Surgical endoscopy · 2025Article
- Development and validation of a predictive model for anastomotic complications with mid-low rectal cancer based on propensity score matching analysis-Does robotic surgery have an advantage?Journal of robotic surgery · 2025Article
- Article
- [Predictability of anastomotic leaks in visceral surgery].Chirurgie (Heidelberg, Germany) · 2024Article
- Prediction model of anastomotic leakage after anterior resection for rectal cancer-based on nomogram and multivariate analysis with 1995 patients.International journal of colorectal disease · 2023Article
- Predictive factors associated with anastomotic leakage after resection of rectal cancer: a multicenter study with the Hiroshima Surgical study group of Clinical Oncology.Langenbeck's archives of surgery · 2023Article
- Early stoma closure after low anterior resection is not recommended due to postoperative complications and asymptomatic anastomotic leakage.Scientific reports · 2023Article
- Predictive Factors for Anastomotic Leakage Following Colorectal Cancer Surgery: Where Are We and Where Are We Going?Current oncology (Toronto, Ont.) · 2023Review
- Impacts of trans-anal tube placement in patients with sigmoid colon cancer: Risk verification analysis using inverse probability weighting analysis.Annals of gastroenterological surgery · 2023Article
- An innovative and convenient technique to reduce anastomotic leakage after double stapling anastomosis: laparoscopic demucositized suture the overlapping point of the "dog ear" area.Updates in surgery · 2022Article
- Analysis of Risk Factors for Anastomotic Leakage After Laparoscopic Anterior Resection of Rectal Cancer and Construction of a Nomogram Prediction Model.Cancer management and research · 2022Article
- A Novel Nomogram for Prediction of Early Postoperative Complications of Total Gastrectomy for Gastric Cancer.Cancer management and research · 2021Article
- Drainage smell and peritonitis are efficient indicators of anastomotic leakage after laparoscopic rectal cancer resection.The Journal of international medical research · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study was performed to identify risk factors for anastomotic leakage (AL) and combine these factors to create a prediction model for the risk of AL after laparoscopic rectal cancer resection.
methodsThis retrospective study involved 185 patients with rectal cancer who underwent laparoscopic resection from March 2012 to February 2017. Five risk factors were analyzed by multivariate analysis. A prediction model was established by combining the risk factors from the multivariate analysis, and the accuracy of the model was evaluated by a receiver operating characteristic curve.
resultsThe overall AL rate was 17.84%. The multivariate analysis identified the following independent risk factors for AL: high body mass index (odds ratio [OR], 3.009; 95% confidence interval [CI], 1.127-7.125), preoperative radiochemotherapy (OR, 3.778; 95% CI, 1.168-12.219), larger tumor size (OR, 2.710; 95% CI, 1.119-6.562), and longer surgical time (OR, 2.476; 95% CI, 1.033-5.932). We established a prediction model that can evaluate the risk of AL by determining the predictive probability. The area under the curve for the model's predictive performance was 0.70 (95% CI, 0.598-0.795).
conclusionA prediction model was created to predict the risk of AL after laparoscopic rectal cancer resection.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.