Profile picture
Contact information
deb.kar@phc.ox.ac.uk
d.kar@nhs.net
+447435042353
https://www.researchgate.net/profile/Debasish-Kar-3
https://orcid.org/0000-0002-1524-1312
He
Research groups
Debasish Kar
MBBS, MSc, MD, FRCP, FRCGP, DTM&H (London)
GP Academic
- NIHR Clinical Lecturer
- Member - National Institute for Health and Clinical Excellence (NICE)
- GP appraiser - NHS England and Improvement
- Sessional GP - Sheffield Urgent and Emergency Care Centre
- Honorary Clinical Researcher - Nuffield Department of Primary Care Health Sciences, University of Oxford
Clinical, teaching and research interest
I am a GP with clinical and research interests in cardiometabolic disease. I have also worked in vaccine research, multi-morbidity, polypharmacy and evidence synthesis. My doctorate thesis is on developing a conceptual framework of the natural history of kidney disease based on smoking and glycaemic status. In my current NIHR Clinical Lecturer role, I am working on complex interventions at the primary care level to reduce vascular risk in people with cardiometabolic disease. I am also working with low- and medium-income countries to influence their policy on preventative work at the primary care level.
My teaching interest is multi-professional teaching and developing an inclusive and diverse workforce at the primary care level.
Outside work, I like travelling and playing chess.
Recent publications
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Navigating the complexities of end-stage kidney disease (ESKD) from risk factors to outcome: insights from the UK Biobank cohort
Journal article
Kar D. et al, (2025), BMC Nephrology, 26
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Phenotype execution and modeling architecture to support disease surveillance and real-world evidence studies: English sentinel network evaluation
Journal article
Jamie G. et al, (2024), JAMIA Open, 7
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Disparities in COVID-19 mortality amongst the immunosuppressed: A systematic review and meta-analysis for enhanced disease surveillance
Journal article
Leston M. et al, (2024), Journal of Infection, 88
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Creating a Modified Version of the Cambridge Multimorbidity Score to Predict Mortality in People Older Than 16 Years: Model Development and Validation
Journal article
Kar D. et al, (2024), Journal of Medical Internet Research, 26
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Developing a digital phenotype to subdivide adult immunosuppressed COVID-19 outcomes within the English Primary Care Sentinel Network
Journal article
Leston M. et al, (2024), Frontiers in Immunology, 15