ArticleBJS open2023
Applicability of the surgical risk calculator by the American College of Surgeons in the setting of German patients undergoing complete pancreatectomy: multicentre study using data from the StuDoQ|Pancreas registry.
Article in BJS open, 2023. 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.
- Predictive value of the American college of surgeons "surgical risk calculator" (ACS-NSQIP SRC) for plastic and reconstructive surgery: a validation study from an academic tertiary referral center in Germany.Patient safety in surgery · 2025Article
- Validity, Accuracy, and Safety Assessment of an Aerobic Interval Training Using an App-Based Prehabilitation Program (PROTEGO MAXIMA Trial) Before Major Surgery: Prospective, Interventional Pilot Study.JMIR mHealth and uHealth · 2025Article
- Predictive value of a novel digital risk calculator to determine early patient outcomes after major surgery: a proof-of-concept pilot study.Patient safety in surgery · 2024Article
- Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.PloS one · 2024Article
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Authors and funding
18 authors.
Funding
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Abstract
introductionSurgical risk calculators can estimate risk probabilities for postoperative outcomes utilizing patient-specific risk factors. They provide meaningful information for obtaining informed consent. The aim of the present paper was to evaluate the predictive value of the surgical risk calculators by the American College of Surgeons in German patients undergoing total pancreatectomy.
methodsData for patients who underwent total pancreatectomy between 2014 and 2018 were acquired from the Study, Documentation, and Quality Center of the German Society for General and Visceral Surgery. Risk factors were entered manually into the surgical risk calculators and calculated risks were compared with actual outcomes.
resultsOf the 408 patients analysed, predicted risk was higher in patients with complications except for the prediction of re-admission (P = 0.127), delayed gastric emptying (P = 0.243), and thrombosis (P = 0.256). In contrast, classification of patients into below, above, or average risk by the surgical risk calculators only produced meaningful results for discharge to nursing facility (P < 0.001), renal failure (P = 0.003), pneumonia (P = 0.001), serious complications, and overall morbidity (both P < 0.001). Assessment of discrimination and calibration showed poor results (scaled Brier scores 8.46 per cent or less).
conclusionOverall surgical risk calculator performance was poor. This finding promotes the development of a specific surgical risk calculator applicable to the German healthcare system.
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