ArticleJournal of gastrointestinal oncology2023
Establishment of a prediction model of postoperative infection complications in patients with gastric cancer and its impact on prognosis.
Article in Journal of gastrointestinal oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 6 citations in OpenAlex.
- Machine learning prediction of postoperative pulmonary infection in patients who underwent thoracoscopic lung cancer resection: a retrospective case-control study.BMC medical informatics and decision making · 2026Article
- Association between preoperative hypoalbuminemia and surgical site infection in abdominal surgery: a systematic review and meta-analysis.Patient safety in surgery · 2026Review
- Development and validation of a nomogram model for predicting infection after radical resection of gastric cancer.Pakistan journal of medical sciences · 2025Article
- Development of a predictive model for immune‑related adverse events in patients with cancer.Oncology letters · 2025Article
- Development of machine learning models for predicting postoperative hyperglycemia in non-diabetic gastric cancer patients: a retrospective cohort study analysis.Frontiers in endocrinology · 2025Article
- Development and validation of a clinical diagnostic model for surgical site infection after surgery in patients with gastric cancer.Translational cancer research · 2024Article
- Article
- Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study.Journal of gastrointestinal oncology · 2023Article
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Postoperative infection delays postoperative adjuvant therapy and can lead to poor prognosis in gastric cancer patients. Therefore, accurately identifying patients at high risk of postoperative infection in patients with gastric cancer is critical. We therefore conducted a study to analyze the impact of postoperative infection complications on long-term prognosis. Methods: From January 2014 to December 2017, we retrospectively collected the data of 571 patients with gastric cancer admitted to the Affiliated People's Hospital of Ningbo University. The patients were divided into an infection group (n=81) and control group (n=490) according to whether the patients experienced postoperative infection. The clinical characteristics of the 2 groups were compared, and the risk factors of postoperative infection complications in patients with gastric cancer were analyzed. Finally, the prediction model of postoperative infection complications was established. Results: There were significant differences in age, diabetes, preoperative anemia, preoperative albumin, preoperative gastrointestinal obstruction, and surgical methods between the 2 groups (P<0.05). Compared with that in the control group, the mortality rate of patients in the infection group at 5 years after surgery was significantly increased (39.51% Conclusions: The present model can effectively identify patient as high risk of postoperative infection.
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