Conflict of interest disclosure by US cardiothoracic surgeons.

BACKGROUND: Surgeon-industry collaboration is a key driver of advancement in surgical technology and practice. Disclosures of financial relationships between investigators and industries are important to ensure transparent and critical evaluation of literature. METHODS: All American cardiothoracic (CT) surgeons who published in three major CT surgery journals in 2019 were identified. Whether these surgeons disclosed any conflicts of interest was recorded and compared to actual payments received within 5 years of publication as reported by the Centers for Medicare and Medicaid Services data. RESULTS: In the study period, there were 1079 unique manuscripts involving 885 American CT surgeons as authors, which combined for 2719 author instances. Of these, 96.2% of authors (851 of 885) received payments from companies. The authors who received payments produced 2651 author instances (97.4%). Financial disclosure was reported in only 11.4% (301 of 2651) of these instances. In total, 851 surgeons received more than $187 million over 5 years, with the highest-paid surgeon receiving an average of over $5.9 million per year. The largest individual payments were from "Associated Research Funding," with over $115 million being paid to 277 surgeons over 5 years. The top paying company issued over $96.5 million to American CT surgeons over 5 years. CONCLUSIONS: Nearly all the reviewed publications in three top CT surgery journals were by surgeons who received payments from companies, but very few of these payments were recorded as potential conflicts of interest. A more consistent and robust policy of COI disclosure is needed to reduce perceptions of bias.

Predictors and Outcomes Associated with Bariatric Robotic Delivery: An MBSAQIP Analysis of 318,151 Patients.

Background: The adoption of robotic bariatric surgery has increased dramatically over the last decade. While outcomes comparing bariatric and laparoscopic approaches are debated, little is known about patient factors responsible for the growing delivery of robotic surgery. A better understanding of these factors will help guide the planning of bariatric delivery and resource allocation. Methods: Data were extracted from the MBSAQIP registry from 2020 to 2021. The patient population was organized into primary robot-assisted sleeve gastrectomy or Roux-en-Y gastric bypass (RYGB) versus those who underwent laparoscopic procedures. Bivariate analysis and multivariable logistic regression modeling were conducted to characterize cohort differences and identify independent patient predictors of robotic selection. Results: Of 318,151, 65,951 (20.7%) underwent robot-assisted surgery. Patients undergoing robotic procedures were older (43.4 ± 11.8 vs. 43.1 ± 11.8; p < 0.001) and had higher body mass index (BMI; 45.4 ± 7.9 vs. 45.0 ± 7.6; p < 0.001). Robotic cases had higher rates of medical comorbidities, including sleep apnea, hyperlipidemia, gastroesophageal reflux disease (GERD), and diabetes mellitus. Robotic cases were more likely to undergo RYGB (27.4% vs. 26.4%; p < 0.001). Robotic patients had higher rates of numerous complications, including bleed, reoperation, and reintervention, resulting in higher serious complication rates on multivariate analysis. Independent predictors of robotic selection included increased BMI (aOR 1.02), female sex (aOR 1.04), GERD (aOR 1.12), metabolic dysfunction, RYGB (aOR 1.08), black racial status (aOR 1.11), and lower albumin (aOR 0.84). Conclusions: After adjusting for comorbidities, patients with greater metabolic comorbidities, black racial status, and those undergoing RYGB were more likely to receive robotic surgery. A more comprehensive understanding of patient factors fueling the adoption of robotic delivery, as well as those expected to benefit most, is needed to better guide healthcare resources as the landscape of bariatric surgery continues to evolve.