ArticlePloS one2017
Prediction of in-hospital mortality after pancreatic resection in pancreatic cancer patients: A boosting approach via a population-based study using health administrative data.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Immediate Postoperative AbnobaVISCUMYonsei medical journal · 2025Article
- Article
- Combining data to perform population-based observational studies: know your sources. The case of thyroid cancer in Belgium.Archives of public health = Archives belges de sante publique · 2022Article
- Maintaining proper health records improves machine learning predictions for novel 2019-nCoV.BMC medical informatics and decision making · 2021Article
- Association between Endoscopic Milk-White Mucosa, Epithelial Intracellular Lipid Droplets, and Histological Grade of Superficial Non-Ampullary Duodenal Epithelial Tumors.Diagnostics (Basel, Switzerland) · 2021Article
- Proposal of a Standardized Questionnaire to Structure Clinical Peer Reviews of Mortality and Failure of Rescue in Pancreatic Surgery.Journal of clinical medicine · 2021Article
- The inhibiting effects of microRNA-429 on the progression of pancreatic ductal adenocarcinoma cells by inhibiting epithelial mesenchymal transition.American journal of translational research · 2021Article
- Bariatric Surgery Is Associated with a Recent Temporal Increase in Colorectal Cancer Resections, Most Pronounced in Adults Below 50 Years of Age.Obesity surgery · 2020Article
- Neutrophil-lymphocyte ratio (NLR) was associated with prognosis and immunomodulatory in patients with pancreatic ductal adenocarcinoma (PDAC).Bioscience reports · 2020Article
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Authors and funding
7 authors.
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Abstract
backgroundOne reason for the aggressiveness of the pancreatic cancer is that it is diagnosed late, which often limits both the therapeutic options that are available and patient survival. The long-term survival of pancreatic cancer patients is not possible if the tumor is not resected, even among patients who receive chemotherapy in the earliest stages. The main objective of this study was to create a prediction model for in-hospital mortality after a pancreatectomy in pancreatic cancer patients.
methodsWe performed a retrospective study of all pancreatic resections in pancreatic cancer patients in Spanish public hospitals (2013). Data were obtained from records in the Minimum Basic Data Set. To develop the prediction model, we used a boosting method.
resultsThe in-hospital mortality of pancreatic resections in pancreatic cancer patients was 8.48% in Spain. Our model showed high predictive accuracy, with an AUC of 0.91 and a Brier score of 0.09, which indicated that the probabilities were well calibrated. In addition, a sensitivity analysis of the information available prior to the surgery revealed that our model has high predictive accuracy, with an AUC of 0.802.
conclusionsIn this study, we developed a nation-wide system that is capable of generating accurate and reliable predictions of in-hospital mortality after pancreatic resection in patients with pancreatic cancer. Our model could help surgeons understand the importance of the patients' characteristics prior to surgery and the health effects that may follow resection.
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