this article is a collaboration with a lot of guys. initiated from the Milan group, we ended up with a quite diverse group of researchers to answers this question because of the methods that we used: the individual patient data meta-analysis. The best thing about this approach: you can pool the data from different studies, even while you can adjusted for potential sources of confounding in a similar manner (given that the data are available, that is). On themselves, these studies showed some mixed results. But in the end, we were able to use the combined data to show that there was an increase MI risk but only for those with very low levels of ADAMTS13. So, here you see the power of IPD meta-analysis!
The credits for this work go primarily to AM who did a great job of getting all PI’s on board, analysing the data and writing a god manuscript. The final version is not online, but you find the pre-publication on pubmed
bob siegerink 