another: Analysis of lipid metabolism and its impact on the risk of IHD in patients with FH; Athero Supp 30 (2017) 56-62 No diff in LDL-C between FH w vs w/o IHD or MI high LP(a) = >3x IHD and 5x risk of MI FH smokers = 1.7x IHD and 3.36 x MI rate obese FH = 2.5X all indep of LDL
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Replying to @LDLSkeptic @EstebanDL and
How about this? 2m patients, 20m patient years, every conceivable study type: Conclusion: Obvious link https://www.ncbi.nlm.nih.gov/m/pubmed/28444290/ …
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Replying to @AlastairMcA30 @EstebanDL and
1) That paper's written by pharma employees (see COI); and 2) Here's a scholarly rebuttal to the EAS statement: Pharmacol 2018;101:184–218; "A Critical Review of the Consensus Statement from the EAS Consensus Panel" just consider the possibility you've been hoodwinked by pharmapic.twitter.com/jC3oUupjol
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Replying to @AlastairMcA30 @LDLSkeptic and
Particularly weird considering that actually they all work at universitiespic.twitter.com/VeR0FI1JpN
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Replying to @GidMK @AlastairMcA30 and
Their place of employment is listed as universities but their COI makes it clear their anti-LDL bias and $ come from Pharma
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Replying to @LDLSkeptic @AlastairMcA30 and
Your argument is circular "They are biased therefore they are paid by pharma therefore they are biased"
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Replying to @GidMK @LDLSkeptic and
Can you clarify? How was it stated "they are biased therefore they are paid by pharma"?
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Replying to @mr_boombastic @LDLSkeptic and
"Their anti-LDL bias comes from pharma"
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Replying to @GidMK @LDLSkeptic and
Right but I don't see how that's circular logic
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The argument is that they are biased because they are paid by pharma, and that they must be being paid by pharma because they are biased. Each statement relies on the other to be true, hence the circularity
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