Contact information
Research groups
Cynthia Wright Drakesmith
DPhil; BSc
Research Data Scientist
I joined the department in 2019 with a background in immunology, proteomics and genomics. My primary aim is to support evidence-based equitable allocation of precision medicine and high cost drugs within the NHS.
Currently, I lead an NIHR-funded project that utilises electronic health records to identify patients who would most benefit from early pharmacogenetic testing in primary care.
I am also principal investigator of two studies within the Our Future Health cohort: one investigating equitable access to biologic medications for patients with Immune-Mediated Inflammatory Disease, and another assessing the utility of patient-reported, genetic, and hospital data for pharmacogenetic research.
My collaborations include various research areas, including anaemia, multiple long-term conditions, deprescribing, cardiovascular disease, and mental health.
I lecture on the MSc Evidence-Based Health Care, Applied Digital Health and DPhil training programmes, and supervise DPhil, MSc, and undergraduate students.
Recent publications
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Prevalence and patterns of testing for anaemia in primary care in England.
Journal article
Smith M. et al, (2024), Br J Gen Pract
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A service evaluation of the implementation of a novel digital intervention for hypertension self-monitoring and management system in primary care (SHIP): protocol for a mixed methods study
Journal article
Smith A. et al, (2024), BMC Cardiovascular Disorders, 24
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Maternal anaemia during pregnancy is associated with an increase in the risk of offspring congenital heart disease: a case-control study using linked electronic health records in England
Preprint
Nair M. et al, (2024)
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Temporal trends and practice variation of paediatric diagnostic tests in primary care: retrospective analysis of 14 million tests
Journal article
Thomas ET. et al, (2024), Family medicine and community health, 12
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BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data.
Journal article
Virdee PS. et al, (2023), Diagn Progn Res, 7