Evaluating the ACS NSQIP Risk Calculator in Primary Pancreatic Neuroendocrine Tumor: Results from the US Neuroendocrine Tumor Study Group View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-02

AUTHORS

Apeksha Dave, Eliza W. Beal, Alexandra G. Lopez-Aguiar, George Poultsides, Eleftherios Makris, Flavio G. Rocha, Zaheer Kanji, Sean Ronnekleiv-Kelly, Victoria R. Rendell, Ryan C. Fields, Bradley A. Krasnick, Kamran Idrees, Paula Marincola Smith, Hari Nathan, Megan Beems, Shishir K. Maithel, Timothy M. Pawlik, Carl R. Schmidt, Mary E. Dillhoff

ABSTRACT

BACKGROUND: In a changing health care environment where patient outcomes will be more closely scrutinized, the ability to predict surgical complications is becoming increasingly important. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) online risk calculator is a popular tool to predict surgical risk. This paper aims to assess the applicability of the ACS NSQIP calculator to patients undergoing surgery for pancreatic neuroendocrine tumors (PNETs). METHODS: Using the US Neuroendocrine Tumor Study Group (USNET-SG), 890 patients who underwent pancreatic procedures between 1/1/2000-12/31/2016 were evaluated. Predicted and actual outcomes were compared using C-statistics and Brier scores. RESULTS: The most commonly performed procedure was distal pancreatectomy, followed by standard and pylorus-preserving pancreaticoduodenectomy. For the entire group of patients studied, C-statistics were highest for discharge destination (0.79) and cardiac complications (0.71), and less than 0.7 for all other complications. The Brier scores for surgical site infection (0.1441) and discharge to nursing/rehabilitation facility (0.0279) were below the Brier score cut-off, while the rest were equal to or above and therefore not useful for interpretation. CONCLUSION: This work indicates that the ACS NSQIP risk calculator is a valuable tool that should be used with caution and in coordination with clinical assessment for PNET clinical decision-making. More... »

PAGES

1-7

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11605-019-04120-4

DOI

http://dx.doi.org/10.1007/s11605-019-04120-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113180035

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30941685


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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11605-019-04120-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11605-019-04120-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11605-019-04120-4'


 

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