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Outputs (7)

Factors associated with change in health-related quality of life in people with gout: a 3-year prospective cohort study in primary care (2022)
Journal Article
Watson, L., Belcher, J., Nicholls, E., Chandratre, P., Blagojevic-Bucknall, M., Hider, S., Lawton, S. A., Mallen, C. D., Muller, S., Rome, K., & Roddy, E. (2022). Factors associated with change in health-related quality of life in people with gout: a 3-year prospective cohort study in primary care. Rheumatology, 62(8), 2748-2756. https://doi.org/10.1093/rheumatology/keac706

Objective To describe factors associated with change in health-related quality of life (HRQOL) in people living with gout in primary care. Methods In a UK prospective cohort study, adults with a diagnosis of gout registered with 20 general practices... Read More about Factors associated with change in health-related quality of life in people with gout: a 3-year prospective cohort study in primary care.

The impact of polymyalgia rheumatica on intimate sexual relationships: findings from the PMR Cohort Study (2022)
Journal Article
Muller, S., Hider, S. L., Hider, S., Ranasinghe, . P., Helliwell, T., Lawton, S. A., Lawton, S., Protheroe, W., Mallen, C. D., & Mallen, C. (2022). The impact of polymyalgia rheumatica on intimate sexual relationships: findings from the PMR Cohort Study. Rheumatology Advances in Practice, 6(3), https://doi.org/10.1093/rap/rkac070

Objectives To determine the impact of polymyalgia rheumatica (PMR) on intimate and sexual relationships over time. Methods The PMR Cohort study (UKCRN ID16477) is a longitudinal study of patients with incident PMR in English primary care. Participant... Read More about The impact of polymyalgia rheumatica on intimate sexual relationships: findings from the PMR Cohort Study.

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 (2022)
Journal Article
Hill, N. R., Groves, L., Dickerson, C., Boyce, R., Lawton, S., Hurst, M., Pollock, K. G., Sugrue, D. M., Lister, S., Arden, C., Davies, D. W., Martin, A.-C., Sandler, B., Gordon, J., Farooqui, U., Clifton, D., Mallen, C., Rogers, J., Camm, A. J., & Cohen, A. T. (2022). 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. https://doi.org/10.1080/13696998.2022.2102355

OBJECTIVE: The PULsE-AI trial sought to determine the effectiveness of a screening strategy that included a machine learning risk prediction algorithm in conjunction with diagnostic testing for identification of undiagnosed atrial fibrillation (AF) i... Read More about 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.

Long-term use of glucocorticoids for polymyalgia rheumatica: follow-up of the PMR Cohort Study (2022)
Journal Article
Muller, S., Hider, S. L., Sokhal, B. S., Lawton, S. A., Helliwell, T., & Mallen, C. D. (2022). Long-term use of glucocorticoids for polymyalgia rheumatica: follow-up of the PMR Cohort Study. Rheumatology Advances in Practice, 6(2), Article rkac034. https://doi.org/10.1093/rap/rkac034

Objectives PMR is a common inflammatory condition in older adults, characterized by bilateral hip and shoulder pain and stiffness. Reducing oral glucocorticoids, classically used for <= 2 years, are the mainstay of treatment. This study considers the...

Clinical trial management: a profession in crisis? (2022)
Journal Article
Mitchell, E., Goodman, K., Wakefield, N., Cochran, C., Cockayne, S., Connolly, S., Desai, R., Hartley, S., Lawton, S., Oatey, K., Rhodes, S., Savage, J., Taylor, J., & Youssouf, N. (2022). Clinical trial management: a profession in crisis?. Trials, 23(1), Article ARTN 357. https://doi.org/10.1186/s13063-022-06315-8

Clinical trial managers play a vital role in the design and conduct of clinical trials in the UK. There is a current recruitment and retention crisis for this specialist role due to a complex set of factors, most likely to have come to a head due to... Read More about Clinical trial management: a profession in crisis?.

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomised controlled trial in England (2022)
Journal Article
Hill, N. R., Groves, L., Dickerson, C., Ochs, A., Pang, D., Lawton, S., Hurst, M., Pollock, K. G., Sugrue, D. M., Tsang, C., Arden, C., Wyn Davies, D., Celine Martin, A., Sandler, B., Gordon, J., Farooqui, U., Clifton, D., Mallen, C., Rogers, J., John Camm, A., & Cohen, A. T. (2022). Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomised controlled trial in England. European Heart Journal, S111 - S111. https://doi.org/10.1093/ehjdh/ztac009

POSC125 Identification of Undiagnosed Atrial Fibrillation Using a Machine Learning Risk Prediction Algorithm and Diagnostic Testing (PULSE-AI) in Primary Care: Health Economic Impact Assessment of a UK Randomised Controlled Trial (2022)
Journal Article
Hill, N., Groves, L., Dickerson, C., Ochs, A., Lawton, S., Hurst, M., Pollock, K., Sugrue, D., Tsang, C., Arden, C., Davies, D., Martin, A., Sandler, B., Gordon, J., Farooqui, U., Clifton, D., Mallen, C., Rogers, J., Camm, J., & Cohen, A. (2022). POSC125 Identification of Undiagnosed Atrial Fibrillation Using a Machine Learning Risk Prediction Algorithm and Diagnostic Testing (PULSE-AI) in Primary Care: Health Economic Impact Assessment of a UK Randomised Controlled Trial. Value in Health, 25(1), S111. https://doi.org/10.1016/j.jval.2021.11.529