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Grant: Project Grant

Queen's University (Kingston, Ontario)

$390,150.00

Liver Fibrosis: Leveraging Novel Statistical Methods to Determine Optimal Screening Strategy for People Living with Type 2 Diabetes

EF 2023-24

Résumé
Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is caused by fat accumulating in the liver over time. Fat causes inflammation, which scares the liver (known as liver fibrosis) and puts patients at increased risk of many more severe liver conditions. It is estimated that 1 in 4 Canadians has MASLD, but very few are aware. Often, there are no symptoms until advanced liver disease has developed. This is why screening is critical. People with type 2 diabetes are at a high risk of advanced disease progression, making them an ideal population for screening. International experts recommend using a simple test called the Fibrosis-4 index (FIB-4) to screen for advanced liver fibrosis in high-risk groups like people with diabetes. However, there are currently no Canadian Diabetes guidelines for screening for fibrosis. And access to the necessary blood tests to calculate FIB-4 is not currently universally available. These barriers can lead to healthcare inequities, especially for underserved communities. We propose to describe the variability in screening strategies (different blood tests) and rates over time. We will then identify factors and subgroups of people with distinct screening patterns and examine how these patterns are associated with liver disease progression. Finally, we will evaluate which screening strategy is the most cost-effective. We will use data routinely collected from health records and advanced statistical methods to account for many of the biases found when using this type of data. Our team comprises various healthcare professionals, patient advocates, and partners to ensure our findings will inform Canadian diabetes guidelines and lead to better healthcare. Ultimately, the goal is to develop effective and equitable screening strategies to prevent liver disease progression in people with diabetes.
Programme
Project Grant
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
488421
Name
Saeed Sahar Z
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Population and Public Health
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
Public, Community & Population Health 2
Projecttitle
Liver Fibrosis: Leveraging Novel Statistical Methods to Determine Optimal Screening Strategy for People Living with Type 2 Diabetes
Programtype2
Operating Grants
Orgnameinp2
Queen's University (Kingston, Ontario)
Cihramount2
$390,150
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Adminstrative Data (Ices); Cirrhosis; Liver Disease; Maslf/Nafld; Metabolic Disease; Multistate Models; Screening; Type 2 Diabetes
Abstract
Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is caused by fat accumulating in the liver over time. Fat causes inflammation, which scares the liver (known as liver fibrosis) and puts patients at increased risk of many more severe liver conditions. It is estimated that 1 in 4 Canadians has MASLD, but very few are aware. Often, there are no symptoms until advanced liver disease has developed. This is why screening is critical. People with type 2 diabetes are at a high risk of advanced disease progression, making them an ideal population for screening. International experts recommend using a simple test called the Fibrosis-4 index (FIB-4) to screen for advanced liver fibrosis in high-risk groups like people with diabetes. However, there are currently no Canadian Diabetes guidelines for screening for fibrosis. And access to the necessary blood tests to calculate FIB-4 is not currently universally available. These barriers can lead to healthcare inequities, especially for underserved communities. We propose to describe the variability in screening strategies (different blood tests) and rates over time. We will then identify factors and subgroups of people with distinct screening patterns and examine how these patterns are associated with liver disease progression. Finally, we will evaluate which screening strategy is the most cost-effective. We will use data routinely collected from health records and advanced statistical methods to account for many of the biases found when using this type of data. Our team comprises various healthcare professionals, patient advocates, and partners to ensure our findings will inform Canadian diabetes guidelines and lead to better healthcare. Ultimately, the goal is to develop effective and equitable screening strategies to prevent liver disease progression in people with diabetes.
Competitiondate
202309
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Saeed, Sahar Z; Flemming, Jennifer A
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $390,150~ $0~