University of Nottingham
Organisation as named by public health-data sources.
Records naming this organisation
- Evaluating alternative protocols for identifying and managing patients with familial hypercholesterolaemia: cost-effectiveness analysis with qualitative study (Registered study, NIHR funded awards, 2017-04-01)
- The development of risk-stratified, cost-effective, and acceptable blood-test monitoring strategies for inflammatory conditions treated with commonly used immune suppressing drugs: a multi-method study using evidence synthesis, modelling and qualitative research (Registered study, NIHR funded awards, 2020-09-01)
- Lipid-modifying therapy in children with familial hypercholesterolemia (Registered study, NIHR funded awards, 2023-02-01)
- Health Inequalities and Impact of Faecal Immunochemical Testing (FIT) in Symptomatic Patients with suspected colorectal cancer (HIFITS) (Registered study, NIHR funded awards, 2023-10-01)
- Beyond colorectal cancer diagnosis: Mortality, other cancers and diseases in patients undergoing symptomatic faecal immunochemical test (FIT) (Registered study, NIHR funded awards, 2025-05-01)
- Using Health Data Science and large-scale data to improve the lives of people with rare autoimmune rheumatic diseases and other rare diseases (Registered study, NIHR funded awards, 2021-02-01)
- Vaccine Response On/off Methotrexate (VROOM): does temporarily suspending methotrexate treatment for two weeks enhance COVID-19 vaccine response?- A Randomised Controlled Trial (Registered study, NIHR funded awards, 2021-09-01)
- The Metoclopramide for Avoiding Pneumonia after Stroke (MAPS-2) Trial: a single-blind, randomized controlled trial of metoclopramide for the prevention of pneumonia in patients with dysphagia after an acute stroke (Registered study, NIHR funded awards, 2021-05-01)
Organisation name as NIHR publishes it for the award contract. Not matched to a registry identifier; the same organisation may appear under other spellings. Holding a research contract does not establish receipt or control of any health data.