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  • 1 April 2020 to 30 March 2021
  • Project No: 462
  • Funding round: FR18

Purpose: Type 2 diabetes is a common condition that is predominantly managed in primary care. It is traditionally considered as a life-long illness, but our recent work has shown that remission is achievable through modest weight loss. Remission is defined as a state of temporary cure in which blood sugar levels are below the level used to diagnose the disease. People will move in and out of states of remission over the long course of diabetes. However, it is unclear how often remission is achieved or how long this state needs to be maintained in order to impact long term health problems.

Aim: To count the number of people with remission in a large sample of people with type 2 diabetes, describe patterns of remission over time and then test these to see if they are linked to long-term health issues.

Methods: We will use an electronic database of routinely collected records over seven years from 108 000 people with type 2 diabetes across 105 UK GP practices. We will describe and group together similar patterns of remission over time. This will be followed by statistical modelling to see if patterns of remission are linked to long-term health issues such as the risk of a heart attack, stroke, amputation or death.

Implication: This work builds on our previous study on remission of type 2 diabetes. If we can now understand how often or how long people with diabetes need to maintain remission to improve long-term health, it will permit more informed discussions with doctors and nurses, and could motivate patients towards specific goals to cure diabetes at least for a period of time.

Co-applicants

Simon Griffin (Cambridge)

Andrew Farmer (Oxford)

Paul Little, Beth Stuart, Sam Hodgson (Southampton)

 

Amount awarded: £59 369.00

Projects by themes

We have grouped projects under the five SPCR themes in this document

Evidence synthesis working group

The collaboration will be conducting 18 high impact systematic reviews, under four workstreams.