ArticleHepatobiliary surgery and nutrition2019
Clinical validation of scoring systems of postoperative pancreatic fistula after pancreatoduodenectomy: applicability to Eastern cohorts?
Article in Hepatobiliary surgery and nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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11 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- A Simple Classification of Pancreatic Duct Size and Texture Predicts Postoperative Pancreatic Fistula: A classification of the International Study Group of Pancreatic Surgery.Annals of surgery · 2023Pooled it
- Clinical, microbial, and experimental features associated with Grade C postoperative pancreatic fistula and pancreaticojejunostomy disruption.Gland surgery · 2026Article
- External validation of the original, alternative, updated alternative, and auditing Fistula Risk Score for the prediction of post-operative pancreatic fistula after minimally invasive and open pancreatoduodenectomy.Surgical endoscopy · 2026Article
- Prevalence of New-Onset Diabetes in Patients Undergoing Pancreatic Surgery and the Association of Glucose Dysregulation With Complications in Pancreatic Cancer.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025Article
- Risk stratification of postoperative pancreatic fistula and other complications following pancreatoduodenectomy. How far are we? A scoping review.Langenbeck's archives of surgery · 2025Article
- Validation of the Updated Alternate Fistula Risk Score for Prediction of Postoperative Pancreatic Fistula After Pancreatoduodenectomy.JGH open : an open access journal of gastroenterology and hepatology · 2024Article
- Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives.World journal of gastroenterology · 2024Review
- External validation of risk prediction platforms for pancreatic fistula after pancreatoduodenectomy using nomograms and artificial intelligence.Annals of surgical treatment and research · 2022Article
- Dynamic prediction for clinically relevant pancreatic fistula: a novel prediction model for laparoscopic pancreaticoduodenectomy.BMC surgery · 2021Article
- Predicting post-operative pancreatic fistula: one size may not fit all.Hepatobiliary surgery and nutrition · 2021Article
- Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence.World journal of gastroenterology · 2020Article
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Authors and funding
21 authors at 10 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough several prediction models for the occurrence of postoperative pancreatic fistula (POPF) after pancreatoduodenectomy (PD) exist, all were established using Western cohorts. Large-scale external validation studies in Eastern cohorts that consider demographic variables including lower body mass index (BMI) are scarce. The purpose of this study was to externally validate POPF prediction models using nationwide large-scale Korean cohorts.
methodsNine tertiary university hospitals in the Republic of Korea participated. Patients' preoperative characteristics, intraoperative factors, and pathologic findings were evaluated. POPF grades were determined according to the 2016 International Study Group on Pancreatic Surgery definition. Three POPF risk models (Callery, Roberts, and Mungroop) were selected for external validation.
resultsA total of 1,898 PD patients were enrolled. A non-pancreatic disease diagnosis [hazard ratio (HR), 1.856; 95% confidence interval (CI), 1.223-2.817; P=0.004), higher preoperative BMI (HR, 1.069; 95% CI, 1.019-1.121; P=0.006), and soft pancreatic texture (HR, 1.859; 95% CI, 1.264-2.735; P=0.002) were independent risk factors for clinically relevant POPF (CR-POPF). The area under the receiver operating characteristic curve (AUC) values were 0.61, 0.64, and 0.63 on the Callery, Roberts, and Mungroop models, respectively; all were lower than those published in each external validation study.
conclusionsWestern POPF prediction models performed less well when applied to Korean cohorts. Thus, a large-scale Eastern-specific and externally validated POPF prediction model is needed.
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