One thing that I realized I haven’t taken the time to lay out is the evidence I’ve been searching for — literally since Nov’ 15 when I started this journey:
*Genetically low LDL associating with lower all cause mortality*
Genetically less LDL => longer lifespan than overall population
(A) Minimal modification. Generally, the less one-off modeling, extrapolating, and unusual exclusions being applied, the more I like it.
(B) A broad and categorically inclusive criteria for both the population being looked at and exposure duration. This is somewhat intuitive, as we should avoid novel inclusions and exclusions where it is simply making the case through selection bias.
(C) A shared, transparent dataset. I really like large, publicly available datasets like NHANES, of course, because there’s both higher accountability and replication compared to a proprietary dataset.
(D) If making a claim of mortality benefit — publication of all cause mortality outcome as well. No need to expand on this... it’s already covered many times over in my plethora of tweets for the topic.
Which brings me around to the study @AviBittMD posted yesterday and why I want to pursue it more than any I’ve seen to date on the topic of risk...
This appears to fulfill (C) given it is a shared dataset and (D) ACM is measured (yay ACM!).
Yes, there may be one-off modeling/adjusting with regard to (A) & (B), but maybe not...
Bookmark this tweet. We may be returning here some day. :)
Make no mistake, if we can show stepwise lower ACM than average pop with the methodology listed above, I’ll definitely be sharing it far and wide.