Abstract

Malignant Gastric Outlet Obstruction (mGOO) has been standardly treated by surgical Gastrojejunostomy (S-GJ) or Endoscopic Stenting (ES). Recently, EUS-Gastrojejunostomy (EUS-GJ) has emerged as an alternative, despite its worldwide diffusion is heterogeneous. The aim of this survey was to assess clinical decision-making around mGOO and to explore current opinions regarding EUS-GJ. An online survey, spread through social networks and EPC newsletter, was created exploring opinions regarding indications, contraindications, benefits/risks, availability of mGOO treatments; 2 case vignettes explored clinical decision-making in different scenarios. Overall, 290 pancreatologists from 44 countries responded, of whom 35% surgeons and 65% gastroenterologists. The most common treatment for mGOO was ES (86%), followed by laparoscopic GJ (76%). EUS-GJ was accessible to 59% of respondents, with 10% proficient in this technique. Gold-standard treatment for mGOO varied by specialty; 45% of gastroenterologists preferred ES, 20% EUS-GJ, and 10% surgical GJ, while among surgeons, these were 24%, 8%, and 25%, respectively. A higher annual volume of mGOO treated correlated with increased EUS-GJ adoption and reduced surgical advice. For 51%, EUS-GJ will become the primary treatment for mGOO, notably higher among gastroenterologists and high-volume centers. For 14%, EUS-GJ spread will be limited in the future, or used only when ES fails (19%). Life expectancy, disease stage and patient's frailty are the main decision driver in therapeutic choice, whereas future surgical resectability does not contraindicate any treatment for 75%. EUS-GJ's main advantages were its minimally invasive nature and clinical efficacy, offset by its steep learning curve. This survey revealed significant differences in the management of mGOO, depending on specialties, local expertise and treatment volume, suggesting the lack of standardized algorithms. Life expectancy and patients' frailty are the main decision drivers. Regarding EUS-GJ, its availability remains suboptimal, with learning curve as the main perceived barrier.

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