416 results match your criteria: "the Ohio State University Wexner Medical Center and James Comprehensive Cancer Center[Affiliation]"

Introduction: We aimed to investigate the geographic variation of Academic Medical Centers (AMCs) across different healthcare markets and the impact on surgical outcomes in nearby non-AMCs.

Methods: Patients who underwent major surgery between 2016 and 2021 were identified from the Medicare Standard Analytic Files. Healthcare markets were delineated using Dartmouth Atlas hospital referral regions.

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Background: Household-level factors may also influence the risk of new persistent opioid use (NPOU). We sought to assess the risk of NPOU among individuals with household exposure to substance abuse.

Methods: Opioid-naïve individuals who underwent oncological procedures were identified using the IBM MarketScan database.

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Background: Biliary tract cancers (BTCs) represent distinct biological and genomic entities. Anatomic and geographic heterogeneity in genomic profiling of BTC subtypes, genomic co-alterations, and their impact on long-term outcomes are not well defined.

Methods: Genomic data to characterize alterations among patients with BTCs were derived from the AACR GENIE registry (v15.

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Background: Medicare Part D covers outpatient prescription drugs for elderly beneficiaries, but requires full cost coverage once the coverage gap threshold is reached. We assessed the impact of reaching Medicare Part D threshold on out-of-pocket costs (OOP), timely treatment, and outcomes for patients with gastrointestinal (GI) cancer.

Methods: Individuals newly diagnosed with GI cancer between 2007 and 2019 were identified from the SEER-Medicare database.

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Background: Glucagon-like peptide-1 receptor agonists (GLP-1RA) are increasingly being used for the management of diabetes mellitus and obesity. We sought to define the impact of preoperative GLP-1RA use on outcomes following major surgical procedures.

Methods: Patients who underwent a major surgical procedure between 2013 and 2021 were identified using the IBM MarketScan database.

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Background: We sought to define textbook outcome in liver surgery (TOLS) for intrahepatic cholangiocarcinoma (ICC) by considering the implications of perioperative outcomes on overall survival (OS).

Methods: Using a multi-institutional database, TOLS for ICC was defined by employing novel machine learning (ML) models to identify perioperative factors most strongly predictive of OS ≥ 12 months. Subsequently, clinicopathologic factors associated with achieving TOLS were investigated.

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Objective: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.

Methods: An eXtreme Gradient Boosting (XGBoost) model was developed to predict post-hepatectomy bile leak using data from the ACS-NSQIP database. The model was externally validated using data from hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) multi-institutional databases.

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Introduction: Individuals with mental illness are at risk for poor surgical outcomes. Notably, the impact of preoperative assessment and optimization for high-risk surgical procedures remains a relatively understudied and evolving field. We sought to investigate the association between mental health assessment and postoperative outcomes.

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Background: Benzodiazepines are the third most misused medication, with many patients having their first exposure during a surgical episode. We sought to characterize factors associated with new persistent benzodiazepine use (NPBU) among patients undergoing cancer surgery.

Patients And Methods: Patients who underwent cancer surgery between 2013 and 2021 were identified using the IBM-MarketScan database.

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Background: We sought to define whether and how hepatic ischemia/reperfusion (I/R) as manifested by perioperative aspartate aminotransferase (AST) and alanine aminotransaminase (ALT) levels impact long-term outcomes after curative-intent resection of hepatocellular carcinoma (HCC).

Patients And Methods: Intrasplenic injection of HCC cells was used to establish a murine model of HCC recurrence with versus without I/R injury. Patients who underwent curative resection for HCC were identified from a multi-institutional derivative cohort (DC) and separate external validation (VC) cohort.

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Introduction: We sought to assess the variations in practice metrics and billing practices among US Medical Graduates (USMGs) and International Medical Graduates (IMGs) in surgical oncology who serve a fee-for-service population.

Methods: Medicaid Services Medicare fee-for-service provider utilization and payment files were used to obtain publicly available data between January 1, 2021, and December 31, 2021. Comparisons were conducted using the t-test for parametric variables and Wilcoxon rank-sum for nonparametric variables.

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Background And Objectives: Social and environmental injustice may influence accessibility and utilization of health resources, affecting outcomes of patients with cancer. We sought to assess the impact of socio-environmental inequalities on cancer screening and mortality rates for breast, colon, and cervical cancer.

Methods: Data on cancer screening and environmental justice index social and environmental ranking (SER) was extracted from the CDC PLACES and ATSDR, respectively.

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Background: Lymphatic route is the main pathway for gastric cancer (GC) spread, and lymph node (LN) involvement is a major prognostic factor after curative resection. The aim of this study was to assess the outcomes of specific LN station dissection.

Methods: Patients with locally advanced (cT2-4N0-3M0) GC who underwent multimodal treatment between 2013 and 2023 were included in the study.

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Objective: To characterize the association between type of fellowship training and patient outcomes following hepatopancreatic (HP) surgery across different surgeon career stages using a national representative cohort of Medicare beneficiaries.

Background: The current state of training in HPB surgery in North America is defined through three main pathways: the Complex General Surgical Oncology (CGSO), the Americas HPB Association fellowship, and the American Society of Transplant surgeons fellowship. Each pathway offers a unique perspective on HPB surgery with different number of training years, yet outcomes of graduates performing HP surgery relative to type of fellowship training have not been defined.

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Background: We sought to characterize the benefit of lymphadenectomy among patients undergoing curative-intent surgery for perihilar cholangiocarcinoma (pCCA) utilizing the therapeutic index.

Methods: Data on patients who underwent curative-intent resection for pCCA were obtained from 8 high-volume international hepatobiliary centers. Multivariable Cox regression analysis was used to assess clinicopathological factors associated with overall survival (OS).

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Background: Transplant recipients undergoing surgery may represent a vulnerable population because of transplant-related comorbidities as well as reliance on immunosuppressive medications. We sought to characterize the association of prior transplant status on postoperative outcomes among patients undergoing major non-transplant-related surgical procedures.

Methods: Data on patients who underwent a major surgical procedure (pneumonectomy, coronary artery bypass graft, abdominal aortic aneurysm repair, Whipple, colectomy) between 2016 and 2020 were obtained from the Nationwide Readmission Database.

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Introduction: There is no consensus on the optimal surveillance interval for patients undergoing resection of colorectal liver metastases (CRLM). We sought to assess the timing and intensity of recurrence following curative-intent resection of CRLM utilizing a recurrence-free survival (RFS) hazard function analysis.

Methods: Patients with CRLM who underwent curative-intent resection were identified from a multi-institutional database.

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Background: Gallbladder cancer is often associated with poor prognosis, especially when patients experience early recurrence after surgery. Machine learning may improve prediction accuracy by analysing complex non-linear relationships. The aim of this study was to develop and evaluate a machine learning model to predict early recurrence risk after resection of gallbladder cancer.

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Introduction: Despite cost-standardization efforts, significant variations in hospital costs persist in insurance claims. We sought to identify and quantify factors driving cost variability at hospital and cost center levels following a complex gastrointestinal surgical procedure.

Methods: Individuals who underwent pancreatectomy (PA), colectomy (CO), and proctectomy (PR) were identified from the Surveillance, Epidemiology, and End Results database.

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Background: Utilization of minimally invasive surgery (MIS) has become increasingly popular due to its potential benefits such as earlier recovery and reduced morbidity. We sought to characterize differences in 1-year healthcare costs and missed workdays among patients undergoing MIS and open surgery for a hepatic or pancreatic indication.

Methods: Data on patients who underwent hepatic and pancreatic resection were obtained from the IBM Marketscan database.

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Background: We sought to define individual contributions at the patient, surgeon, pathologist, and hospital levels on lymph node assessment after pancreatic cancer resection.

Methods: SEER-Medicare beneficiaries who underwent pancreatic cancer resection were identified. Multi-level multivariable regression was performed to assess the proportion of variance explained by patient, surgeon, pathologist, and hospitals on lymph node assessment (≥12 versus <12).

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