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Diabetologia|November 28, 2019
Preventing foot ulceration in diabetes: systematic review and meta-analyses of RCT dataFay Crawford, Donald J Nicolson, Aparna E Amanna, et al.
Applied Health Economics and Health Policy|October 21, 2021
From Spreadsheets to Script: Experiences From Converting a Scottish Cardiovascular Disease Policy Model into RYiqiao Xin, Ewan Gray, Jose Antonio Robles-Zurita, et al.
Pathogens and Global Health|August 11, 2022
How Least Developed to Lower-Middle Income Countries Use Health Technology Assessment: A Scoping ReviewAnna Falkowski, Giorgio Ciminata, Francesco Manca, et al.
American Heart Journal|September 1, 2023
The coronary microvascular angina cardiovascular magnetic resonance imaging trial: Rationale and designConor P Bradley, Vanessa Orchard, Gemma McKinley, et al.
Health Technology Assessment (Winchester, England)|July 28, 2021
Venous access devices for the delivery of long-term chemotherapy: the CAVA three-arm RCTOlivia Wu, Elaine McCartney, Robert Heggie, et al.
Lancet (London, England)|July 23, 2021
Central venous access devices for the delivery of systemic anticancer therapy (CAVA): a randomised controlled trialJonathan G Moss, Olivia Wu, Andrew R Bodenham, et al.
Health Technology Assessment (Winchester, England)|November 25, 2020
Risk assessments and structured care interventions for prevention of foot ulceration in diabetes: development and validation of a prognostic modelFay Crawford, Francesca M Chappell, James Lewsey, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|August 16, 2025
CMR versus CCTA with fractional flow reserve for diagnosing obstructive coronary artery disease in higher risk patients: rationale and design of CONCORD - a prospective, single-centre diagnostic accuracy studySimran Shergill, Mohamed Elshibly, Kelly S Parke, et al.
Circulation|October 5, 2023
Invasive Endotyping in Patients With Angina and No Obstructive Coronary Artery Disease: A Randomized Controlled TrialNovalia P Sidik, Bethany Stanley, Robert Sykes, et al.
Health Technology Assessment (Winchester, England)|September 9, 2021
A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort studySarah J Stock, Margaret Horne, Merel Bruijn, et al.
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