ArticleCancers2022
External Validation of a Risk Model for Severe Complications following Pancreatoduodenectomy Based on Three Preoperative Variables.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Graded and threshold effects of body mass index on perioperative outcomes after pancreaticoduodenectomy: a meta-analysis incorporating an institutional cohort.Frontiers in surgery · 2026Article
- Mesenteric approach for borderline resectable pancreatic head cancer: a 13-Year retrospective cohort study.Langenbeck's archives of surgery · 2025Article
- Radiological Assessment After Pancreaticoduodenectomy for a Precision Approach to Managing Complications: A Narrative Review.Journal of personalized medicine · 2025Review
- Risk stratification of postoperative pancreatic fistula and other complications following pancreatoduodenectomy. How far are we? A scoping review.Langenbeck's archives of surgery · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatoduodenectomy (PD) is the only cure for periampullary and pancreatic cancer. It has morbidity rates of 40-60%, with severe complications in 30%. Prediction models to predict complications are crucial. A risk model for severe complications was developed by Schroder et al. based on BMI, ASA classification and Hounsfield Units of the pancreatic body on the preoperative CT scan. These variables were independent predictors for severe complications upon internal validation. Our aim was to externally validate this model using an independent cohort of patients.
methodsA retrospective analysis was performed on 318 patients who underwent PD at our institution from 2013 to 2021. The outcome of interest was severe complications Clavien-Dindo ≥ IIIa. Model calibration, discrimination and performance were assessed.
resultsA total of 308 patients were included. Patients with incomplete data were excluded. A total of 89 (28.9%) patients had severe complications. The externally validated model achieved: C-index = 0.67 (95% CI: 0.60-0.73), regression coefficient = 0.37, intercept = 0.13, Brier score = 0.25.
conclusionsThe performance ability, discriminative power, and calibration of this model were acceptable. Our risk calculator can help surgeons identify high-risk patients for post-operative complications to improve shared decision-making and tailor perioperative management.
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