Decision analytical modelling of strategies for investigating suspected acute aortic syndrome

Thokala, P. orcid.org/0000-0003-4122-2366, Goodacre, S. orcid.org/0000-0003-0803-8444, Cooper, G. et al. (6 more authors) (2024) Decision analytical modelling of strategies for investigating suspected acute aortic syndrome. Emergency Medicine Journal, 41 (12). pp. 728-735. ISSN 1472-0205

Abstract

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2024 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Published: December 2024
  • Published (online): 21 November 2024
  • Accepted: 28 September 2024
  • Submitted: 10 May 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Funding Information:
Funder
Grant number
NIHR Evaluation Trials and Studies Coordinating Centre
NIHR151853
Depositing User: Symplectic Sheffield
Date Deposited: 13 Nov 2024 14:34
Last Modified: 10 Mar 2025 16:59
Status: Published
Publisher: BMJ
Refereed: Yes
Identification Number: 10.1136/emermed-2024-214222
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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