Ontology highlight
ABSTRACT: Background
Prognostic tools, such as risk calculators, improve the patient-physician informed decision-making process. These tools are limited for breast cancer patients when assessing surgical complication risk preoperatively.Objective
In this study, we aimed to assess predictors associated with acute postoperative complications for breast cancer patients and then develop a predictive model that calculates a complication probability using patient risk factors.Methods
We performed a retrospective cohort study using the National Surgical Quality Improvement Program (NSQIP) database from 2005 to 2017. Women diagnosed with ductal carcinoma in situ or invasive breast cancer who underwent either breast conservation or mastectomy procedures were included in this predictiv
SUBMITTER: Jonczyk MM
PROVIDER: S-EPMC8355048 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature