Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Más filtros












Base de datos
Intervalo de año de publicación
1.
Obes Surg ; 34(3): 790-813, 2024 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-38238640

RESUMEN

BACKGROUND: Metabolic and bariatric surgery (MBS) is the preferred method to achieve significant weight loss in patients with Obesity Class V (BMI > 60 kg/m2). However, there is no consensus regarding the best procedure(s) for this population. Additionally, these patients will likely have a higher risk of complications and mortality. The aim of this study was to achieve a consensus among a global panel of expert bariatric surgeons using a modified Delphi methodology. METHODS: A total of 36 recognized opinion-makers and highly experienced metabolic and bariatric surgeons participated in the present Delphi consensus. 81 statements on preoperative management, selection of the procedure, perioperative management, weight loss parameters, follow-up, and metabolic outcomes were voted on in two rounds. A consensus was considered reached when an agreement of ≥ 70% of experts' votes was achieved. RESULTS: A total of 54 out of 81 statements reached consensus. Remarkably, more than 90% of the experts agreed that patients should be notified of the greater risk of complications, the possibility of modifications to the surgical procedure, and the early start of chemical thromboprophylaxis. Regarding the choice of the procedure, SADI-S, RYGB, and OAGB were the top 3 preferred operations. However, no consensus was reached on the limb length in these operations. CONCLUSION: This study represents the first attempt to reach consensus on the choice of procedures as well as perioperative management in patients with obesity class V. Although overall consensus was reached in different areas, more research is needed to better serve this high-risk population.


Asunto(s)
Cirugía Bariátrica , Obesidad Mórbida , Tromboembolia Venosa , Humanos , Obesidad Mórbida/cirugía , Técnica Delphi , Anticoagulantes , Índice de Masa Corporal , Obesidad/complicaciones , Obesidad/cirugía , Cirugía Bariátrica/métodos , Pérdida de Peso
2.
Obes Surg ; 33(12): 3971-3980, 2023 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-37889368

RESUMEN

BACKGROUND: Recent advancements in artificial intelligence, such as OpenAI's ChatGPT-4, are revolutionizing various sectors, including healthcare. This study investigates the use of ChatGPT-4 in identifying suitable candidates for bariatric surgery and providing surgical recommendations to improve decision-making in obesity treatment amid the global obesity epidemic. METHODS: We devised ten patient scenarios, thoughtfully encompassing a spectrum that spans from uncomplicated cases to more complex ones. Our objective was to delve into the decision-making process regarding the recommendation of bariatric surgery. From July 29th to August 10th, 2023, we conducted a voluntary online survey involving thirty prominent bariatric surgeons, ensuring that there was no predetermined bias in the selection of a specific type of bariatric surgery. This survey was designed to collect their insights on these scenarios and gain a deeper understanding of their professional experience and background in the field of bariatric surgery. Additionally, we consulted ChatGPT-4 in two separate conversations to evaluate its alignment with expert opinions on bariatric surgery options. RESULTS: In 40% of the scenarios, disparities were identified between the two conversations with ChatGPT-4. It matched expert opinions in 30% of cases. Differences were noted in cases like gastrointestinal metaplasia and gastric adenocarcinoma, but there was alignment with conditions like endometriosis and GERD. CONCLUSION: The evaluation of ChatGPT-4's role in determining bariatric surgery suitability uncovered both potential and shortcomings. Its alignment with experts was inconsistent, and it often overlooked key factors, emphasizing human expertise's value. Its current use requires caution, and further refinement is needed for clinical application.


Asunto(s)
Bariatria , Obesidad Mórbida , Femenino , Humanos , Testimonio de Experto , Inteligencia Artificial , Obesidad Mórbida/cirugía , Obesidad
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA
...