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Petition: Reinstate Dr David Unwin's sugar infographics as a NICE endorsed resource
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<blockquote data-quote="Oldvatr" data-source="post: 2299142" data-attributes="member: 196898"><p>I can see why there are two ways of interpreting the AUC. The areas under the curve shows how the density of sugar varies with time. The overall AUC should show the total amount of glucose passing in the blood. But in the normal body there are two stages of insulin response, Stage 1 is the anylase response which is fast acting, but limited duration, and this may explain the initial drop in bgl. Stage 2 is the basal response which is long lasting and normally closed loop as the blood sugar approaches the basal level (FBG), Most T2D have a condition that shows both responses are badly affected by the disease, and for most the Stage 1 response is usually very poor or non existant. But some retain a good first response. So the initial dip is part of the process and valid, but it does affect the calculation since it represents glucose that should be there but is being quickly diverted into storage instead so IMHO the missing sugar should be added back in since it did get converted silently in the process.</p><p></p><p>The other thing about the 2 stage response is that simple carbs like sugar, glucose, trigger the amylase reaction in the mouth during mastication, which is the signal to trigger insulin release. But other carbs and especially in the presence of fat do not cause the Stage 1 release. So a super ripe banana may or may not trigger, but the OGTT glucose beverage most certainly should. This is why the pure GI value or carb content could be misleading the Reporter in his study. It is also why the GI . GL concept is not generally accepted as fact, and does indeed call into question the numeric equivalence shown in the infographics. If the calculations had been based on actual OGTT results for a random sample of the population then that might have been a firmer foundation.</p><p></p><p>The last observation I make is that diabetics will show different results than the general population anyway, and it is not clear which cohort the infographics are supposed to illustrate. To a general reader such as a MoS reader or Reporter or NICE they need the data to show how a normal person would react, but a person reading a book on diabetes would probably expect to see how they might react.</p></blockquote><p></p>
[QUOTE="Oldvatr, post: 2299142, member: 196898"] I can see why there are two ways of interpreting the AUC. The areas under the curve shows how the density of sugar varies with time. The overall AUC should show the total amount of glucose passing in the blood. But in the normal body there are two stages of insulin response, Stage 1 is the anylase response which is fast acting, but limited duration, and this may explain the initial drop in bgl. Stage 2 is the basal response which is long lasting and normally closed loop as the blood sugar approaches the basal level (FBG), Most T2D have a condition that shows both responses are badly affected by the disease, and for most the Stage 1 response is usually very poor or non existant. But some retain a good first response. So the initial dip is part of the process and valid, but it does affect the calculation since it represents glucose that should be there but is being quickly diverted into storage instead so IMHO the missing sugar should be added back in since it did get converted silently in the process. The other thing about the 2 stage response is that simple carbs like sugar, glucose, trigger the amylase reaction in the mouth during mastication, which is the signal to trigger insulin release. But other carbs and especially in the presence of fat do not cause the Stage 1 release. So a super ripe banana may or may not trigger, but the OGTT glucose beverage most certainly should. This is why the pure GI value or carb content could be misleading the Reporter in his study. It is also why the GI . GL concept is not generally accepted as fact, and does indeed call into question the numeric equivalence shown in the infographics. If the calculations had been based on actual OGTT results for a random sample of the population then that might have been a firmer foundation. The last observation I make is that diabetics will show different results than the general population anyway, and it is not clear which cohort the infographics are supposed to illustrate. To a general reader such as a MoS reader or Reporter or NICE they need the data to show how a normal person would react, but a person reading a book on diabetes would probably expect to see how they might react. [/QUOTE]
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Petition: Reinstate Dr David Unwin's sugar infographics as a NICE endorsed resource
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