Leveraging Decision Curve Analysis to Improve Clinical Application of Surgical Risk Calculators.

ABSTRACT:

Background

Surgical risk calculators (SRCs) have been developed for estimation of postoperative complications but do not directly inform decision-making. Decision curve analysis (DCA) is a method for evaluating prediction models, measuring their utility in guiding decisions. We aimed to analyze the utility of SRCs to guide both preoperative and postoperative management of patients undergoing hepatopancreaticobiliary surgery by using DCA.

Methods

A single-institution, retrospective review of patients undergoing hepatopancreaticobiliary operations between 2015 and 2017 was performed. Estimation of postoperative complications was conducted using the American College of Surgeons SRC [ACS-SRC] and the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) calculator; risks w

SUBMITTER: Dadashzadeh ER 

PROVIDER: S-EPMC8991373 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature