ArticlePakistan journal of medical sciences2019
Prediction of anastomotic leakage after anterior rectal resection.
Article in Pakistan journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Systematic review of preoperative and intraoperative colorectal Anastomotic Leak Prediction Scores (ALPS).BMJ open · 2023Pooled it
- The influence of diabetes on postoperative complications following colorectal surgery.Techniques in coloproctology · 2021Pooled it
- Postoperative Outcomes After Rectal Cancer Surgery With or Without Primary Anastomosis: A Propensity Score-Weighted Study.Diagnostics (Basel, Switzerland) · 2026Article
- Suspension and suturing technique can reduce the incidence of anastomotic leakage after rectal cancer excision: a single, prospective, cohort study.Scientific reports · 2024Article
- Rectoseminal vesicle fistula after radical surgery for rectal cancer: Four case reports and a literature review.World journal of clinical cases · 2020Article
- Endoscopic management of postoperative anastomotic bleeding in patients with colorectal cancer.International journal of colorectal disease · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAnastomotic Leakage (AL) is one of the most common complications after resection of rectal cancer. Recognition of the incidence and risk factors related to AL is important. This study aimed develops a model that can predict anastomotic leakage after anterior rectal resection.
methodsData from 188 patients undergoing anterior resection of rectal cancer were collected for retrospective analysis. Patients were randomly divided in the development set and validation set at a 1:1 ratio. We first included age, sex, preoperative chemoradiotherapy, tumor size, degree of tumor differentiation, stage, TNM stage, lymph vascular invasion, distance, anastomotic method, diabetes, intraoperative time, intraoperative bleeding and smoking as candidates for variable selection with a LASSO method. A ROC curve was constructed with the validation set to assess the accuracy of the prediction model.
resultsAL occurred in 20 of 188 patients (10.6%). Preoperative chemoradiotherapy (p=0.04), medium degree of tumor differentiation (p=0.04), anastomotic method (p<0.01), intraoperative bleeding≥400ml (p<0.01), smoking (p<0.01), diabetes (p<0.01) were significantly related to AL. The area under the ROC curve of the prediction model is 0.952.
conclusionsThis study developed a model that can predict anastomotic leakage after anterior rectal resection, which may aid the selection of preventive ileostomy and postoperative management.
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