ArticleFrontiers in surgery2022
A novel nomogram based on the prognostic nutritional index for predicting postoperative outcomes in patients with stage I-III gastric cancer undergoing robotic radical gastrectomy.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 6 citations in OpenAlex.
- Preoperative Nutritional Index as a Predictor of Pulmonary Infection and Mortality in Liver Transplant Patients.Annals of transplantation · 2025Article
- Using a nomogram based on the controlling nutritional status score to predict prognosis after surgery in patients with resectable gastric cancer.BMC gastroenterology · 2025Article
- Prognostic nutritional index in predicting survival of patients with gastric or gastroesophageal junction adenocarcinoma: A systematic review.World journal of gastrointestinal oncology · 2024Article
- Comparison of the predictive performance of three lymph node staging systems for late-onset gastric cancer patients after surgery.Frontiers in surgery · 2024Article
- Predictive factors associated with anastomotic leakage after resection of rectal cancer: a multicenter study with the Hiroshima Surgical study group of Clinical Oncology.Langenbeck's archives of surgery · 2023Article
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Authors and funding
10 authors at 3 institutions in 1 country.
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Abstract
Background: The inflammation and nutrition status are crucial factors influencing the outcome of patients with gastric cancer. This study aims to investigate the prognostic value of the preoperative prognostic nutritional index (PNI) in patients with stage I-III gastric cancer undergoing robotic radical gastrectomy combined with Enhanced Recovery after Surgery (ERAS), and further to create a clinical prognosis prediction model. Study: 525 patients with stage I-III gastric cancer who underwent ERAS combined with RRG from July 2010 to June 2018 were included in this work, and were divided randomly into training and validating groups in a 7-to-3 ratio. The association between PNI and overall survival (OS) was assessed by Kaplan-Meier analysis and the log-rank test. Independent risk factors impacting postoperative survival were analyzed with the Cox proportional hazards regression model. A nomogram for predicting OS was constructed based on multivariate analysis, and its predictive performance was evaluated using Harrell's concordance index (C-index), calibration plots, ROC curve, decision curve analysis (DCA), and time-dependent ROC curve analysis. Results: Survival analyses revealed the presence of a significant correlation between low preoperative PNI and shortened postoperative survival ( Conclusion: Preoperative PNI is an independent prognostic factor for patients with stage I-III gastric cancer undergoing ERAS combined with robotic radical gastrectomy. Based on PNI, we constructed a nomogram for predicting postoperative outcomes of gastric cancer patients, which might be utilized clinically.
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