Humans

Nakafero, G., Grainge, M. J., Williams, H. C., Card, T., Taal, M. W., Aithal, G. P., et al. (2023). Risk stratified monitoring for methotrexate toxicity in immune mediated inflammatory diseases: prognostic model development and validation using primary care data from the UK. Bmj, 381, e074678. http://doi.org/10.1136/bmj-2022-074678
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Banerjee, A., Dashtban, A., Chen, S., Pasea, L., Thygesen, J. H., Fatemifar, G., et al. (2023). Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study. Lancet Digit Health, 5, e370-e379. http://doi.org/10.1016/s2589-7500(23)00065-1
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Mohanty, S., Podmore, B., Moral, C., Matthews, I., Sarpong, E., Azpeitia, A., & Qizilbash, N. (2023). Healthcare resource utilisation and cost of pneumococcal disease from 2003 to 2019 in children ≤17 years in England. Plos One, 18, e0283084. http://doi.org/10.1371/journal.pone.0283084
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Livingstone, S., Morales, D. R., Fleuriot, J., Donnan, P. T., & Guthrie, B. (2023). External validation of the QLifetime cardiovascular risk prediction tool: population cohort study. Bmc Cardiovasc Disord, 23, 194. http://doi.org/10.1186/s12872-023-03209-8
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Little, D. J., Arnold, M., Hedman, K., Sun, P., Haque, S. A., & James, G. (2023). Rates of adverse clinical events in patients with chronic kidney disease: analysis of electronic health records from the UK clinical practice research datalink linked to hospital data. Bmc Nephrol, 24, 91. http://doi.org/10.1186/s12882-023-03119-z
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Jeffery, A., Bhanu, C., Walters, K., Wong, I. C., Osborn, D., & Hayes, J. F. (2023). Polypharmacy and antidepressant acceptability in comorbid depression and type 2 diabetes: a cohort study using UK primary care data. Br J Gen Pract, 73, e392-e398. http://doi.org/10.3399/bjgp.2022.0295
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Eworuke, E., Shinde, M., Hou, L., Paterson, M. J., Jensen, P. B., Maro, J. C., et al. (2023). Valsartan, Losartan and Irbesartan use in the USA, UK, Canada and Denmark after the nitrosamine recalls: a descriptive cohort study. Bmj Open, 13, e070985. http://doi.org/10.1136/bmjopen-2022-070985
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Yang, F., Meng, T., Torben-Nielsen, B., Magnus, C., Liu, C., & Dejean, E. (2023). A machine learning approach to support triaging of primary versus secondary headache patients using complete blood count. Plos One, 18, e0282237. http://doi.org/10.1371/journal.pone.0282237
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Requena, G., Banks, V., Czira, A., Wood, R., Tritton, T., Wild, R., et al. (2023). Treatment Patterns, Healthcare Utilization and Clinical Outcomes of Patients with Chronic Obstructive Pulmonary Disease Initiating Single-Inhaler Long-Acting β(2)-Agonist/Long-Acting Muscarinic Antagonist Dual Therapy in Primary Care in England. Int J Chron Obstruct Pulmon Dis, 18, 231-245. http://doi.org/10.2147/copd.s389281
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Perni, S., Bojan, B., & Prokopovich, P. (2023). A retrospective study of risk factors, causative micro-organisms and healthcare resources consumption associated with prosthetic joint infections (PJI) using the Clinical Practice Research Datalink (CPRD) Aurum database. Plos One, 18, e0282709. http://doi.org/10.1371/journal.pone.0282709
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