Defining benchmarks for fellowship training in foregut surgery: a 10-year review of fellowship council index cases.

Introduction: Surgical treatment of foregut disease is a complex field that demands advanced expertise to ensure favorable outcomes for patients. To address the growing need for foregut surgeons, leaders within several national societies have become interested in developing a foregut fellowship. The aim of this study was to develop data-driven benchmarks that will aid in defining appropriate accreditation criteria for these fellowships.

Methods: We obtained case log data for Fellowship Council fellows trained from 2009-2019. We identified 78 complex foregut (non-bariatric) case codes and divided them into 5 index case categories including (1) hiatal/paraoesophageal hernia repair, (2) fundoplication, (3) esophageal myotomy, (4) major organ resection, and (5) minor organ resection. Median volumes in each index category were compared over time using Kruskall-Wallis tests. The share of cases done using open, laparoscopic, or robotic approaches were analyzed using linear regression analysis.

Results: For the 10 years analyzed, 1362 fellows logged 82,889 operations and 111,799 endoscopies. Median foregut cases per fellow grew significantly from 42 (IQR = 24-74) cases in 2010 to 69 (IQR = 33-106) cases in 2019. Median endoscopy volumes also grew significantly from 42 (IQR = 7-88) in 2010 to 69 (IQR 32-123) in 2019.The volume of hiatal/paraoesophageal hernia repairs increased significantly over time while volumes in the remaining 4 index categories remained stable. The share of robotic cases exhibited near perfect linear growth from 2.2% of all foregut cases in 2010 to 14.4% in 2019 (R = 0.99, p < 0.0001). Open cases exhibited linear decay from 7.2% of cases in 2010 to 4.7% of cases in 2019 (R = 0.92, p = 0.0001). Laparoscopic/thoracoscopic cases also exhibited linear decay from 90.6% of cases in 2010 to 80.9% of cases in 2019 (R = 0.98, p < 0.00001).

Conclusions: FC fellows are exposed to robust volumes of foregut cases. This rich data set provides an evidence-based guide for establishing criteria for potential foregut fellowships.