Publications by authors named "A Gebran"
Background: The POTTER calculator, a widely used interpretable artificial intelligence (AI) risk calculator, has been validated in population-based studies and shown to predict outcomes in emergency general surgery (EGS) patients better than surgeons. We sought to prospectively validate POTTER.
Study Design: Patients undergoing an emergency exploratory laparotomy for non-trauma indications at two Academic Medical Centers between June 2020 and March 2022 were included.
Background: Distal pancreatic ductal adenocarcinoma (D-PDAC) often presents at an advanced stage. The efficacy of neoadjuvant therapy (NAT) in improving outcomes for D-PDAC is not well-established. This study evaluates the impact of NAT on the oncological outcomes of patients with D-PDAC.
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- This study compares two surgical methods, Hartmann's procedure (HP) and resection with primary anastomosis (RPA), for treating acute left-sided colonic emergencies among 1215 patients from 204 centers globally.
- Results showed that while HP was the more common treatment (57.3%), RPA was favored for younger patients with fewer health issues and those needing surgery sooner.
- The study concluded that although HP is still widely used, RPA might be the better option, emphasizing the importance of patient characteristics and surgeon experience in determining treatment choice.
Introduction: Accurate risk scoring in emergency general surgery (EGS) is vital for consent and resource allocation. The emergency surgery score (ESS) has been validated as a reliable preoperative predictor of postoperative outcomes in EGS but has been studied only in the US population. Our primary aim was to perform an external validation study of the ESS in a UK population.
View Article and Find Full Text PDFBackground: The diversion of unused opioid prescription pills to the community at large contributes to the opioid epidemic in the US. In this county-level population-based study, we aimed to examine the US surgeons' opioid prescription patterns, trends, and system-level predictors in the peak years of the opioid epidemic.
Study Design: Using the Medicare Part D database (2013 to 2017), the mean number of opioid prescriptions per beneficiary (OPBs) was determined for each US county.