The 2023 MANCTRA Acute Biliary Pancreatitis Care Bundle: A Joint Effort Between Human Knowledge and Artificial Intelligence (ChatGPT) to Optimize the Care of Patients With Acute Biliary Pancreatitis in Western Countries.
Journal
Annals of surgery
ISSN: 1528-1140
Titre abrégé: Ann Surg
Pays: United States
ID NLM: 0372354
Informations de publication
Date de publication:
17 Jul 2023
17 Jul 2023
Historique:
pubmed:
14
7
2023
medline:
14
7
2023
entrez:
14
7
2023
Statut:
aheadofprint
Résumé
To generate an up-to-date bundle to manage acute biliary pancreatitis using an evidence-based, artificial intelligence (AI)-assisted GRADE method. A care bundle is a set of core elements of care that are distilled from the most solid evidence-based practice guidelines and recommendations. The research questions were addressed in this bundle following the PICO criteria. The working group summarized the effects of interventions with the strength of recommendation and quality of evidence applying the GRADE methodology. ChatGPT AI system was used to independently assess the quality of evidence of each element in the bundle, together with the strength of the recommendations. The seven elements of the bundle discourage antibiotic prophylaxis in patients with acute biliary pancreatitis, support the use of a full-solid diet in patients with mild to moderately-severe acute biliary pancreatitis, and recommend early enteral nutrition in patients unable to feed by mouth. The bundle states that ERCP should be performed within the first 48-72 hours of hospital admission in patients with cholangitis. Early laparoscopic cholecystectomy should be performed in patients with mild acute biliary pancreatitis. When operative intervention is needed for necrotizing pancreatitis, this should start with the endoscopic step-up approach. We have developed a new care bundle with seven key elements for managing patients with acute biliary pancreatitis. This new bundle, whose scientific strength has been increased thanks to the alliance between human knowledge and AI from the new ChatGPT software, should be introduced to emergency departments, wards, and ICUs.
Sections du résumé
OBJECTIVE
OBJECTIVE
To generate an up-to-date bundle to manage acute biliary pancreatitis using an evidence-based, artificial intelligence (AI)-assisted GRADE method.
SUMMARY BACKGROUND DATA
BACKGROUND
A care bundle is a set of core elements of care that are distilled from the most solid evidence-based practice guidelines and recommendations.
METHODS
METHODS
The research questions were addressed in this bundle following the PICO criteria. The working group summarized the effects of interventions with the strength of recommendation and quality of evidence applying the GRADE methodology. ChatGPT AI system was used to independently assess the quality of evidence of each element in the bundle, together with the strength of the recommendations.
RESULTS
RESULTS
The seven elements of the bundle discourage antibiotic prophylaxis in patients with acute biliary pancreatitis, support the use of a full-solid diet in patients with mild to moderately-severe acute biliary pancreatitis, and recommend early enteral nutrition in patients unable to feed by mouth. The bundle states that ERCP should be performed within the first 48-72 hours of hospital admission in patients with cholangitis. Early laparoscopic cholecystectomy should be performed in patients with mild acute biliary pancreatitis. When operative intervention is needed for necrotizing pancreatitis, this should start with the endoscopic step-up approach.
CONCLUSIONS
CONCLUSIONS
We have developed a new care bundle with seven key elements for managing patients with acute biliary pancreatitis. This new bundle, whose scientific strength has been increased thanks to the alliance between human knowledge and AI from the new ChatGPT software, should be introduced to emergency departments, wards, and ICUs.
Identifiants
pubmed: 37450700
doi: 10.1097/SLA.0000000000006008
pii: 00000658-990000000-00562
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
Conflicts of Interest and Source of Funding The authors report no conflict of interest. This research has not received any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.