Diagnostic strategies for suspected acute aortic syndrome: systematic review, meta-analysis, decision-analytic modelling and value of information analysis
This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR151853.
Authors
- Steven Thomas (ORCID: https://orcid.org/0000-0001-5855-2842)
- Shijie Ren (ORCID: https://orcid.org/0000-0003-3568-7124)
- Robert J. Hinchliffe (ORCID: https://orcid.org/0000-0002-6370-0800)
- Steve Goodacre (ORCID: https://orcid.org/0000-0003-0803-8444)
- Munira Essat (ORCID: https://orcid.org/0000-0003-2397-402X)
- Praveen Thokala (ORCID: https://orcid.org/0000-0003-4122-2366)
- Abdullah Pandor (ORCID: https://orcid.org/0000-0003-2552-5260)
- Matthew J. Reed (ORCID: https://orcid.org/0000-0003-1308-4824)
- Mark Clowes
- Sarah Wilson (ORCID: https://orcid.org/0000-0003-3964-0809)
- Valérie Lechêne (ORCID: https://orcid.org/0000-0001-9818-9179)
- Sa Ren (ORCID: https://orcid.org/0000-0001-9040-249X)
- Graham Cooper (ORCID: https://orcid.org/0000-0002-1950-0078)
- C.J. Fowler (ORCID: https://orcid.org/0000-0001-6533-8043)
Institutions
- North Bristol NHS Trust (GB)
- Wexham Park Hospital (GB)
- Edinburgh Royal Infirmary (GB)
- Frimley Health NHS Foundation Trust (GB)
- Sheffield Teaching Hospitals NHS Foundation Trust (GB)
- University of Sheffield (GB)
Publication Details
- Journal
- Health Technology Assessment
- Published
- 2025-02-28
- DOI
- https://doi.org/10.3310/ggop6363
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00