Ignite Creation Date:
2024-05-06 @ 6:16 PM
Last Modification Date:
2024-10-26 @ 2:45 PM
Study NCT ID:
NCT05609266
Status:
COMPLETED
Last Update Posted:
2022-12-02
First Post:
2022-11-01
Brief Title:
Validation of Existing Diabetes Risk Models in a Swedish Population
Sponsor:
Umeå University
Organization:
Umeå University
Study Overview
Official Title:
Validation of Non-invasive Risk Models for Prediction of Incident Type 2 Diabetes in a Swedish Population
Status:
COMPLETED
Status Verified Date:
2022-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The goal of this observational study is to validate existing non-invasive diabetes clinical prediction models in a Swedish population The main question it aims to answer is how well 11 existing models will perform in predicting incident type 2 diabetes in participants from the Västerbotten Intervention programme VIP Participants in VIP are residents of Västerbotten that are invited for a comprehensive health screening at 30- until 1995 40- 50- and 60-years of age
Detailed Description:
Several type 2 diabetes risk prediction models have been developed but how it will perform in a Swedish population is not known No diabetes risk prediction model is routinely used in Sweden The aim of this study is therefore to validate 11 non-invasive models and to evaluate the performance to predict incident type 2 diabetes in a Swedish population A population-based cohort from the Västerbotten Intervention programme VIP from 1990 to 2020 will be the validation sample Incident type 2 diabetes within 10-years of follow-up will be determined by oral glucose tolerance test or through self-reports A self-administered questionnaire is completed and anthropometric clinical and biochemical measures are obtained at each of the health screening visits In the statistical analysis the overall performance of the models will be compared using the Brier score In addition discrimination and calibration of all the models will be evaluated Recalibration of models will be done
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None