ArticleInternational journal of colorectal disease2018
Nomogram for predicting anastomotic leakage after low anterior resection for rectal cancer.
Article in International journal of colorectal disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.
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Who cites it
65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Pooled it
- Systematic review of preoperative and intraoperative colorectal Anastomotic Leak Prediction Scores (ALPS).BMJ open · 2023Pooled it
- Surgical outcomes of Turnbull-Cutait delayed coloanal anastomosis with pull-through versus immediate coloanal anastomosis with diverting stoma after total mesorectal excision for low rectal cancer: a systematic review and meta-analysis.Techniques in coloproctology · 2022Pooled it
- Indocyanine green fluorescence angiography prevents anastomotic leakage in rectal cancer surgery: a systematic review and meta-analysis.Langenbeck's archives of surgery · 2021Pooled it
- Establishment and evaluation of a novel practical tool for the diagnosis of pre-sarcopenia in young people with diabetes mellitus.Journal of translational medicine · 2023Trial
- Factors contributing to 1-year dissatisfaction after total knee arthroplasty: a nomogram prediction model.Journal of orthopaedic surgery and research · 2022Trial
- Sex differences in the risk profiles for anastomotic leakage following surgery for rectal cancer.Surgery today · 2026Article
- Transanal drainage tube placement in patients with temporary ileostomy after laparoscopic rectal resection for rectal cancer.Updates in surgery · 2026Article
- Risk factors and prediction models for bronchitis obliterans after severe Mycoplasma pneumoniae pneumonia with plastic bronchitis in children.Pakistan journal of medical sciences · 2026Article
- Development and validation of nomogram about conversion from temporary to permanent stoma in rectal cancer based on machine learning and traditional model-does robotic surgery have competitive advantages?Journal of robotic surgery · 2026Article
- Machine learning-based coagulation-related signature for predicting the prognosis and therapy benefits in lung adenocarcinoma.Discover oncology · 2025Article
- Early Detection of Anastomotic Leak via the Drain/Serum Amylase Ratio in Patients Undergoing Colorectal Surgery, Particularly in Ileal Anastomosis.Yonsei medical journal · 2025Article
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- Development and validation of a predictive nomogram for severe adverse drug reactions: a dual-center pharmacovigilance study.Frontiers in pharmacology · 2025Article
- A nomogram model for predicting lymph node metastasis of rectal cancer by combining preoperative magnetic resonance imaging signs and tumour markers.Polish journal of radiology · 2025Article
- Prognostic nomogram for the patency of wrist autologous arteriovenous fistula in first year.iScience · 2024Article
- Establishment and validation of a predictive model for spontaneous preterm birth in singleton pregnant women.BMC pregnancy and childbirth · 2024Article
- C-reactive protein-to-albumin ratio as a risk factor for anastomotic leakage after anterior resection for rectal cancer with intraoperative use of indocyanine green fluorescence imaging.Surgical endoscopy · 2024Article
- Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 8 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAnastomotic leakage after low anterior resection for rectal cancer is a critical problem. Many risk factors have been suggested and surgical techniques have improved, but anastomotic leakage remains a major postoperative challenge. This study sought to create a nomogram for precise prediction of anastomotic leakage after low anterior resection for rectal cancer.
methodsWe used data of 936 patients that had been prospectively collected by the Japanese Society for Colon and Rectal Cancer between June 2010 and February 2013. Risk factors for anastomotic leakage were identified by multivariate logistic regression analysis and used to create a nomogram. The performance of the nomogram was evaluated by using a bootstrapped-concordance index and calibration plots.
resultsSex, preoperative serum albumin, tumor location and diameter, and simultaneous resection of other organs were identified as significantly associated factors that could be combined for accurate prediction of anastomotic leakage. We created a nomogram for anastomotic leakage by using these risk factors. The area under the curve was 0.72 (95% confidence interval 0.67-0.76). The nomogram had a bootstrapped-concordance index of 0.72 and was well calibrated.
conclusionsOur nomogram was a useful tool for precise prediction of anastomotic leakage after low anterior resection for rectal cancer.
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Registered trials
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