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ID-435: Fine-tuning and Validating a Type 1 Diabetes Risk Prediction Algorithm
Safe People
Organisation name
Stanhope Mews Surgery
Applicant name(s)
Funders/ Sponsors
Commercial
Safe Projects
Project ID
ID-435
Lay summary
The purpose of the research project is to test an algorithm for identifying people with early-stage T1D (presymptomatic in the general population), based on their electronic health records.
Public benefit statement
This project aims to provide an additional tool that helps identify the risk-level of the patient for T1D, using their electronic health records. The benefits to patients are therefore two-fold: 1) Increase the probability of detecting T1D before a patient develops diabetic ketoacidosis and hence enable managing the condition better in outcomes 2) Reduce the number of patients who would need to be screened to identify T1D patients.
Other approval committees
Latest approval date
16/05/2024
Safe Data
Dataset(s) name
Safe Setting
Access type
TRE