ArticleBMC gastroenterology2022
Prediction and management of strangulated bowel obstruction: a multi-dimensional model analysis.
Article in BMC gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Radiological diagnosis of acute mesenteric ischemia in adult patients: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- High bilirubin and blood urea nitrogen predict intestinal necrosis in incarcerated groin hernia.Hernia : the journal of hernias and abdominal wall surgery · 2026Article
- Predictive models for intestinal obstruction: from clinical scores to artificial intelligence.Frontiers in surgery · 2026Review
- Analysis of the Risk Factors for Short-Term Outcomes in Acute Small Bowel Obstruction: A Retrospective Study.Gastroenterology research and practice · 2026Article
- Advancing precision triage in strangulated small bowel obstruction: from static scores to dynamic multiparametric models.Frontiers in surgery · 2026Review
- Diagnostic Utility of CT Findings as Indicators for Bowel Resection in Strangulated Small Bowel Obstruction.Journal of clinical medicine · 2025Article
- An easily acquirable predictive model for strangulated bowel obstruction: the BAR-N.BMC surgery · 2025Article
- Computed tomography value ascites and mesenteric fluid predict intestinal necrosis in strangulated small bowel obstruction.Scientific reports · 2025Article
- A novel scoring system for better management of small bowel obstruction.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025Article
- The target sign: a significant CT sign for predicting small-bowel ischemia and necrosis.La Radiologia medica · 2024Article
- Article
- Comprehensively evaluate the short outcome of small bowel obstruction: A novel medical-economic score system.World journal of gastroenterology · 2023Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundDistinguishing strangulated bowel obstruction (StBO) from simple bowel obstruction (SiBO) still poses a challenge for emergency surgeons. We aimed to construct a predictive model that could distinctly discriminate StBO from SiBO based on the degree of bowel ischemia.
methodsThe patients diagnosed with intestinal obstruction were enrolled and divided into SiBO group and StBO group. Binary logistic regression was applied to identify independent risk factors, and then predictive models based on radiological and multi-dimensional models were constructed. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were calculated to assess the accuracy of the predicted models. Via stratification analysis, we validated the multi-dimensional model in the prediction of transmural necrosis both in the training set and validation set.
resultsOf the 281 patients with SBO, 45 (16.0%) were found to have StBO, while 236(84.0%) with SiBO. The AUC of the radiological model was 0.706 (95%CI, 0.617-0.795). In the multivariate analysis, seven risk factors including pain duration ≤ 3 days (OR = 3.775), rebound tenderness (OR = 5.201), low-to-absent bowel sounds (OR = 5.006), low levels of potassium (OR = 3.696) and sodium (OR = 3.753), high levels of BUN (OR = 4.349), high radiological score (OR = 11.264) were identified. The AUC of the multi-dimensional model was 0.857(95%CI, 0.793-0.920). In the stratification analysis, the proportion of patients with transmural necrosis was significantly greater in the high-risk group (24%) than in the medium-risk group (3%). No transmural necrosis was found in the low-risk group. The AUC of the validation set was 0.910 (95%CI, 0.843-0.976). None of patients in the low-risk and medium-risk score group suffered with StBO. However, all patients with bowel ischemia (12%) and necrosis (24%) were resorted into high-risk score group.
conclusionThe novel multi-dimensional model offers a useful tool for predicting StBO. Clinical management could be performed according to the multivariate score.
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