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endpoint. The only difference here is that there are more events. Instead of a total of 11

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events, there are now 40 events. So generally the confidence limits are tighter for the

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individual study odds ratios and the overall odds ratio. Again we see that study 13

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produces an estimate greater than one. Now because of all the discussion around the

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TZDs and CV events, we thought we should look at those events by background TZD.

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This table shows you the custom events by treatment group for both doses studied and by

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background TZD and you can see there is nothing here that differentiates the TZDs for

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these few events.

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the one we get when we do an exact test which is 0.2 and this is not surprising, because

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when you use a continuity correction the estimates tends to shift towards the not. Notice

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there is only one study that produces an estimate greater than one. That's study 13.

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Study 13 is the study where patients treated at time of enrolment with TZD, either

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Pioglitazone or Rosiglitazone, are randomized to add-on therapy of Saxagliptin or

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placebo. So overall we see the plot suggests no significant heterogeneity across the trails

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and test for heterogeneity support that.

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MACE endpoint for the short-term plus long-term data. We did these analyses because

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we wanted some reassurance that the results seeing in an overall population of rather low

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Now let's look at the short-term plus long-term data for the custom MACE

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Lastly, I would like to show you some subgroup results using the custom

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used. There is only one study with events in both treatment arms, and that study is 39,

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it has the largest symbol here, which is the study of initial combination of Saxagliptin

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with Metformin. There are five events in this one study, and there are only a total of 11

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events in all eight studies.

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Now the estimate using the continuity correction is 0.3 which differs from

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