ArticleFrontiers in oncology2023
Establishment of a prognostic model for gastric cancer patients who underwent radical gastrectomy using machine learning: a two-center study.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The prognostic value of CLDN18.2 expression in pancreatic ductal adenocarcinoma: a systematic review and individual patient data meta-analysis.Virchows Archiv : an international journal of pathology · 2026Pooled it
- Prognostic significance of systemic immune-inflammation index in hepatocellular carcinoma: a meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Pooled it
- Diagnostic performance based on MRI for preoperative of vessels encapsulating tumor clusters in hepatocellular carcinoma: a systematic review and meta-analysis.La Radiologia medica · 2025Pooled it
- Ablation-immunotherapy synergy in cancer: mechanisms of the abscopal effect, emerging clinical applications, and translational roadmaps for next-generation onco-immunology.Medical oncology (Northwood, London, England) · 2026Review
- A machine learning model for distinguishing gastric cancer from intestinal metaplasia in patients with psychological symptoms.Cancer causes & control : CCC · 2026Article
- Preoperative Renal Impairment as an Independent Determinant of Poor Survival After Concomitant Laparoscopic Radical Cystectomy and Nephroureterectomy.Annals of surgical oncology · 2026Article
- Perioperative changes in systemic inflammatory markers predict major complications after distal pancreatectomy.Updates in surgery · 2026Article
- Explainable AI-Assisted Multimodal Ultrasound Radiomics for Preoperative Risk Stratification of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma.Journal of imaging informatics in medicine · 2026Article
- Pain management and early recovery after robot-assisted partial nephrectomy in a short-stay ambulatory pathway: a single-center retrospective cohort study.Journal of robotic surgery · 2026Article
- Incidental appendiceal neoplasms in patients undergoing appendectomy for acute appendicitis: a 10-year retrospective analysis of 5001 cases.Surgical endoscopy · 2026Article
- Sonodynamic Therapy-Enhanced Immunotherapy for Triple-Negative Breast Cancer: Mechanistic Advances, Nanoplatform Strategies, and Clinical Prospects.Molecular imaging and biology · 2026Review
- CT imaging is a feasible method for the preoperative prediction of the main pathologic response after neoadjuvant therapy for locally advanced esophageal squamous cell carcinoma.Updates in surgery · 2026Article
- Harnessing cuproptosis: a new avenue for targeted cancer therapies.Apoptosis : an international journal on programmed cell death · 2025Review
- Targeting miRNAs in renal cell carcinoma: emerging therapeutic strategies.International journal of clinical oncology · 2025Review
- Targeting platelet-tumor cell interactions: a novel approach to cancer therapy.Medical oncology (Northwood, London, England) · 2025Review
- Identification of CircRNAs that promote cancer and their potential contribution to hepatocellular carcinoma (HCC) pathogenesis.Clinical and experimental medicine · 2025Article
- The role of AMPK in pancreatic cancer: from carcinogenesis to treatment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Review
- Application and progress of nomograms in gastric cancer.Frontiers in medicine · 2025Review
- MRI-based radiomics feature combined with tumor markers to predict TN staging of rectal cancer.Journal of robotic surgery · 2024Article
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9 authors.
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Abstract
Objective: Gastric cancer is a prevalent gastrointestinal malignancy worldwide. In this study, a prognostic model was developed for gastric cancer patients who underwent radical gastrectomy using machine learning, employing advanced computational techniques to investigate postoperative mortality risk factors in such patients. Methods: Data of 295 patients with gastric cancer who underwent radical gastrectomy at the Department of General Surgery of Affiliated Hospital of Xuzhou Medical University (Xuzhou, China) between March 2016 and November 2019 were retrospectively analyzed as the training group. Additionally, 109 patients who underwent radical gastrectomy at the Department of General Surgery Affiliated to Jining First People's Hospital (Jining, China) were included for external validation. Four machine learning models, including logistic regression (LR), decision tree (DT), random forest (RF), and gradient boosting machine (GBM), were utilized. Model performance was assessed by comparing the area under the curve (AUC) for each model. An LR-based nomogram model was constructed to assess patients' clinical prognosis. Results: Lasso regression identified eight associated factors: age, sex, maximum tumor diameter, nerve or vascular invasion, TNM stage, gastrectomy type, lymphocyte count, and carcinoembryonic antigen (CEA) level. The performance of these models was evaluated using the AUC. In the training group, the AUC values were 0.795, 0.759, 0.873, and 0.853 for LR, DT, RF, and GBM, respectively. In the validation group, the AUC values were 0.734, 0.708, 0.746, and 0.707 for LR, DT, RF, and GBM, respectively. The nomogram model, constructed based on LR, demonstrated excellent clinical prognostic evaluation capabilities. Conclusion: Machine learning algorithms are robust performance assessment tools for evaluating the prognosis of gastric cancer patients who have undergone radical gastrectomy. The LR-based nomogram model can aid clinicians in making more reliable clinical decisions.
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