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PubPharm (58)
1
Undertaking multi-centre randomised controlled trials in primary care : learnings and recommendations from the PULsE-AI trial researchers
enthalten in:
BMC primary care
| 2024
von
Pollock, K.
|
Dickerson, C.
|
Kainth, M.
| +15
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2
Correction : Benefits of Aldosterone Receptor Antagonism in Chronic Kidney Disease (BARACK D) trial-a multi-centre, prospective, randomised, open, blinded end-point, 36-month study of 2,616 patients within primary care with stage 3b chronic kidney disease to compare the efficacy of spironolactone 25 mg once daily in addition to routine care on mortality and cardiovascular outcomes versus routine care alone: study protocol for a randomized controlled trial
enthalten in:
Trials
| 2022
von
Hill, N.
|
Lasserson, D.
|
Thompson, B.
| +13
ErratumFor: Trials. 2014 May 08;15:160. - PMID 24886488
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3
Correction: Benefits of Aldosterone Receptor Antagonism in Chronic Kidney Disease (BARACK D) trial–a multi-centre, prospective, randomised, open, blinded end-point, 36-month study of 2,616 patients within primary care with stage 3b chronic kidney disease to compare the efficacy of spironolactone 25 mg once daily in addition to routine care on mortality and cardiovascular outcomes versus routine care alone: study protocol for a randomized controlled trial
enthalten in:
Trials
| 2022
von
Hill, N.
|
Lasserson, D.
|
Thompson, B.
| +13
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4
Correction: Benefits of Aldosterone Receptor Antagonism in Chronic Kidney Disease (BARACK D) trial–a multi-centre, prospective, randomised, open, blinded end-point, 36-month study of 2,616 patients within primary care with stage 3b chronic kidney disease to compare the efficacy of spironolactone 25 mg once daily in addition to routine care on mortality and cardiovascular outcomes versus routine care alone: study protocol for a randomized controlled trial
enthalten in:
Trials
| 2022
von
Hill, N.
|
Lasserson, D.
|
Thompson, B.
| +13
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5
Budget impact analysis of a machine learning algorithm to predict high risk of atrial fibrillation among primary care patients
enthalten in:
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
| 2022
von
Szymanski, T.
|
Ashton, R.
|
Sekelj, S.
| +6
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6
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care : a multi-centre randomized controlled trial in England
enthalten in:
European heart journal. Digital health
| 2022
von
Hill, N.
|
Groves, L.
|
Dickerson, C.
| +18
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7
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care : cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England
enthalten in:
Journal of medical economics
| 2022
von
Hill, N.
|
Groves, L.
|
Dickerson, C.
| +17
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8
Detecting undiagnosed atrial fibrillation in UK primary care : Validation of a machine learning prediction algorithm in a retrospective cohort study
enthalten in:
European journal of preventive cardiology
| 2021
von
Sekelj, S.
|
Sandler, B.
|
Johnston, E.
| +7
CommentIn: Eur J Prev Cardiol. 2021 May 22;28(6):596-597. - PMID 33624085
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9
An observational study of international normalized ratio control according to NICE criteria in patients with non-valvular atrial fibrillation : the SAIL Warfarin Out of Range Descriptors Study (SWORDS)
enthalten in:
European heart journal. Cardiovascular pharmacotherapy
| 2021
von
Harris, D.
|
Thayer, D.
|
Wang, T.
| +6
CommentIn: Eur Heart J Cardiovasc Pharmacother. 2021 May 23;7(3):e20. - PMID 33537748
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10
Application of a machine learning algorithm for detection of atrial fibrillation in secondary care
enthalten in:
International journal of cardiology. Heart & vasculature
| 2020
von
Pollock, K.
|
Sekelj, S.
|
Johnston, E.
| +6
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Research Support, Non-U.S. Gov't
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Atrial fibrillation
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Blood Glucose
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machine learning
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2020-
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