Improving Prediction of Endstage Renal Disease (ESRD) in Diabetic Kidney Disease (DKD)
The National Institute for Health Research (NIHR) is the nation’s largest funder of health and care research and provides the people, facilities and technology that enables research to thrive. NIHR Applied Research Collaborations (ARCs) support applied health and care research that responds to, and meets, the needs of local populations and local health and care systems. The NIHR ARC East Midlands (EM) is one of 15 ARCs across England, part of a £135 million investment by the NIHR to improve the health and care of patients and the public.
The clinical themes ARC EM focuses on include: (i) Building Community Resilience and Enabling Independence; (ii) Mental Health and Wellbeing; (iii) Managing Multimorbidity. There are also three-cutting themes: (i) Translating and Implementing Sustainable Service Improvement; (ii) Ethnicity and Health Inequalities; (iii) Data2Health (Health Data Science).
The Data2Health theme will focus on methodological translation – ensuring that appropriate, innovative and fully evaluated methods are used to inform the design and analysis of ARC EM research studies. It will also ensure maximal use of existing large-scale linked data resources to address important questions for patients, the public and care services, both locally and nationally.
This PhD studentship will undertake a PhD project aligned to the aims of the Data2Health theme. Applicants should select one or more of the following projects when applying. Applicants are encouraged to contact the lead supervisor for more information on the projects.
This project will involve performing a systematic review and, if appropriate, a meta-analysis of risk factors for the development of ESRD in individuals with DKD where at least age, gender, eGFR and ACR have been adjusted for in the analysis and performing an external validation of the Kidney Failure Risk Equation in an East Midlands primary care DKD cohort. The project will then assess the impact of using dynamic risk prediction on the predictive ability of the Kidney Failure Risk Equation.
Essential: UK Bachelor’s degree with at least 2:1 in a relevant subject (such as Maths or Statistics) or overseas equivalent.
Desirable: MSc Medical Statistics or similar postgraduate degree
University of Leicester English language requirements apply (where applicable).
How to apply
For further details, please see - https://le.ac.uk/study/research-degrees/funded-opportunities/hs-nihr-arc-east-midlands-2020
Funded by NIHR ARC East Midlands.
This 3 year Studentship provides:
UK/EU tuition fee waiver
Stipend at UKRI rates (£15,285 for 2020/21)