IMO QRisk2/3 has its own problems in terms of the size and composition (T1 & T2 lumped iirc) of diabetics, so the same comment stands as above, are you represented by the cohort who were included. With QRisk2/3 I also don't really understand why such a large factor is applied if the "diabetes" box is ticked, iirc there's no way to look at the input data to determine just exactly what causes quite such a large effect as it's based on private/protected data reported directly by surgeries and it looked like special dispensation and a sprinkling of Holy water would be required to gain access.
iirc the proportion of T2 diabetics was vastly larger than that of T1 and the centrally reported HbA1c values for both types (which are not overly recent, at least a couple of years old was the most recent data I could dig out when I was looking) indicate that on average control isn't very good at all. These are UK population level figures, not specific to the dataset, but one assumes that they should be vaguely close to one another.
It's been a while since I looked at both this and the statins question, so I'm afraid I can't remember the exact details, but I'd certainly encourage people to look at the data that backs up the calculations/recommendations in both cases (there is summary data about the inputs to QRisk2/3). I came away quite happy to ignore both regarding their "you're diabetic therefore you should do this because the box was ticked" recommendations, but YMMV, my analysis may be flawed and I may have different numbers to you.
iirc the proportion of T2 diabetics was vastly larger than that of T1 and the centrally reported HbA1c values for both types (which are not overly recent, at least a couple of years old was the most recent data I could dig out when I was looking) indicate that on average control isn't very good at all. These are UK population level figures, not specific to the dataset, but one assumes that they should be vaguely close to one another.
It's been a while since I looked at both this and the statins question, so I'm afraid I can't remember the exact details, but I'd certainly encourage people to look at the data that backs up the calculations/recommendations in both cases (there is summary data about the inputs to QRisk2/3). I came away quite happy to ignore both regarding their "you're diabetic therefore you should do this because the box was ticked" recommendations, but YMMV, my analysis may be flawed and I may have different numbers to you.