ArticleWorld journal of gastroenterology2019
Nomogram to predict prolonged postoperative ileus after gastrectomy in gastric cancer.
Article in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 27 citations in OpenAlex.
- Predicting recurrent chest pain in patients with myocardial bridging using explainable machine learning: a multicenter study integrating CT-derived functional and inflammatory imaging biomarkers.BMC medical imaging · 2026Article
- Preoperative malnutrition is a risk factor for prolonged postoperative ileus for patients undergoing gastrointestinal surgery.Frontiers in nutrition · 2025Article
- Grip strength predicts postoperative ileus among patients undergoing abdominal minimally invasive surgery: a prospective multicenter cohort study.Surgical endoscopy · 2024Article
- Predicting prolonged postoperative ileus in gastric cancer patients based on bowel sounds using intelligent auscultation and machine learning.World journal of gastrointestinal surgery · 2024Article
- Artificial intelligence algorithms for predicting post-operative ileus after laparoscopic surgery.Heliyon · 2024Article
- Nomogram for predicting prolonged postoperative ileus after laparoscopic low anterior resection for rectal cancer.World journal of surgical oncology · 2023Article
- Transcriptomics Based Network Analyses and Molecular Docking Highlighted Potentially Therapeutic Biomarkers for Colon Cancer.Biochemical genetics · 2023Article
- The effect of probiotics on surgical outcomes in patients with gastric cancer: a meta-analysis of randomized controlled trials.Frontiers in surgery · 2023Review
- Nomogram for prediction of prolonged postoperative ileus after colorectal resection.BMC cancer · 2022Article
- A novel prognostic model to predict OS and DFS of stage II/III gastric adenocarcinoma patients in China.Heliyon · 2022Article
- Construction of a novel signature and prediction of the immune landscape in gastric cancer based on necroptosis-related genes.Scientific reports · 2022Article
- It's not just an ileus: disparities associated with ileus following ventral hernia repair.Hernia : the journal of hernias and abdominal wall surgery · 2021Observational
- Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients.PloS one · 2021Article
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Authors and funding
12 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundProlonged postoperative ileus (PPOI) is one of the common complications in gastric cancer patients who underwent gastrectomy. Evidence on the predictors of PPOI after gastrectomy is limited and few prediction models of nomogram are used to estimate the risk of PPOI. We hypothesized that a predictive nomogram can be used for clinical risk estimation of PPOI in gastric cancer patients.
aimTo investigate the risk factors for PPOI and establish a nomogram for clinical risk estimation.
methodsBetween June 2016 and March 2017, the data of 162 patients with gastrectomy were obtained from a prospective and observational registry database. Clinical data of patients who fulfilled the criteria were obtained. Univariate and multivariable logistic regression models were performed to detect the relationship between variables and PPOI. A nomogram for PPOI was developed and verified by bootstrap resampling. The calibration curve was employed to detect the concentricity between the model probability curve and ideal curve. The clinical usefulness of our model was evaluated using the net benefit curve.
resultsThis study analyzed 14 potential variables of PPOI in 162 gastric cancer patients who underwent gastrectomy. The incidence of PPOI was 19.75% in patients with gastrectomy. Age older than 60 years, open surgery, advanced stage (III-IV), and postoperative use of opioid analgesic were independent risk factors for PPOI. We developed a simple and easy-to-use prediction nomogram of PPOI after gastrectomy. This nomogram had an excellent diagnostic performance [area under the curve (AUC) = 0.836, sensitivity = 84.4%, and specificity = 75.4%]. This nomogram was further validated by bootstrapping for 500 repetitions. The AUC of the bootstrap model was 0.832 (95%CI: 0.741-0.924). This model showed a good fitting and calibration and positive net benefits in decision curve analysis.
conclusionWe have developed a prediction nomogram of PPOI for gastric cancer. This novel nomogram might serve as an essential early warning sign of PPOI in gastric cancer patients.
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