Risk prediction models in emergency surgery: Protocol for a scoping review.
emergency surgery
perioperative
risk
risk prediction
risk stratification
Journal
Acta anaesthesiologica Scandinavica
ISSN: 1399-6576
Titre abrégé: Acta Anaesthesiol Scand
Pays: England
ID NLM: 0370270
Informations de publication
Date de publication:
Apr 2024
Apr 2024
Historique:
received:
07
01
2024
accepted:
21
01
2024
pubmed:
6
2
2024
medline:
6
2
2024
entrez:
6
2
2024
Statut:
ppublish
Résumé
Risk prediction models are used for many purposes in emergency surgery, including critical care triage and benchmarking. Several risk prediction models have been developed, and some are used for purposes other than those for which they were developed. We aim to provide an overview of the existing literature on risk prediction models used in emergency surgery and highlight knowledge gaps. We will conduct a scoping review on risk prediction models used for patients undergoing emergency surgery in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). We will search Medline, EMBASE, and the Cochrane Library and include all study designs. We aim to answer the following questions: (1) What risk prediction models are used in emergency surgery? (2) Which variables are used in these models? (3) Which surgical specialties are the models used for? (4) Have the models been externally validated? (5) Where have the models been externally validated? (6) What purposes were the models developed for? (7) What are the strengths and limitations of the included models? We will summarize the results descriptively. The certainty of evidence will be evaluated using a modified Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. The outlined scoping review will summarize the existing literature on risk prediction models used in emergency surgery and highlight knowledge gaps.
Sections du résumé
BACKGROUND
BACKGROUND
Risk prediction models are used for many purposes in emergency surgery, including critical care triage and benchmarking. Several risk prediction models have been developed, and some are used for purposes other than those for which they were developed. We aim to provide an overview of the existing literature on risk prediction models used in emergency surgery and highlight knowledge gaps.
METHODS
METHODS
We will conduct a scoping review on risk prediction models used for patients undergoing emergency surgery in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). We will search Medline, EMBASE, and the Cochrane Library and include all study designs. We aim to answer the following questions: (1) What risk prediction models are used in emergency surgery? (2) Which variables are used in these models? (3) Which surgical specialties are the models used for? (4) Have the models been externally validated? (5) Where have the models been externally validated? (6) What purposes were the models developed for? (7) What are the strengths and limitations of the included models? We will summarize the results descriptively. The certainty of evidence will be evaluated using a modified Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.
CONCLUSION
CONCLUSIONS
The outlined scoping review will summarize the existing literature on risk prediction models used in emergency surgery and highlight knowledge gaps.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
579-581Informations de copyright
© 2024 Acta Anaesthesiologica Scandinavica Foundation.
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