I have no idea which #vaccine @realDonaldTrump was talking about today. But if we are going to have a vaccine before 2021, it will be one of these seven.
NIH has announced a cut in the "indirect rate" to 15% across the board, in a move that appears to be retroactive to even existing grants. This is a bloodbath for research institutions throughout the country.
Brief explainer for those not in this world:
If I am awarded a grant for the NIH, it covers my budget for the research study. It ALSO awards a percentage of that budget (over what I need for the study) to Yale, my institution. That overage is called the indirect rate.
This money is used to pay for office space, electricity, internet, library, journal subscriptions, administrators, printer paper, etc. This stuff is EXPLICITLY not allowed in the main budget for a research study. I can't budget for printer paper. That is all in the "indirects".
This thing keeps happening with ultra-processed food research and it's very confusing to me. People seem to be searching for a link with bad health outcomes that is *independent* of caloric intake. Like... folks... that's the link. (brief 🧵)
I think I got on this kick with the JFK hearings. There was... a lot there. His thoughts about UPF actually come close to the mark though. Except he did this thing that a lot of people do - he blamed the health outcomes of UPF intake on the chemicals and additives and stuff.
The reason that's dangerous is the implication that if we got rid of that stuff, the food would be better for us. Like Doritos without preservatives would be good for us or something. It's really not true.
Every week, I see a new study talking about this or that effect of GLP-1 receptor agonists like #ozempic. FINALLY, we have a study evaluating all the outcomes (good and bad) in one dataset. There are some... surprises. 🧵
Kudos to @zalaly for this analysis, appearing in @NatureMedicine.
You can find the primary source here: buff.ly/4jm6iqC
And my (more in depth) @medscape column here: buff.ly/4gZtbyu
(Or stick with me on this thread).
@zalaly @NatureMedicine @Medscape This is discovery research. It's a shotgun approach to linking the exposure of interest (GLP1ra) to a slew of outcomes. Think the search for extra-terrestrial intelligence. You can point a telescope at some interesting planet or you can listen to the entire sky at once.
Data keeps emerging that suggests GLP-1RAs like #Ozempic curb all sorts of appetites... not just appetite for food. Brief thread on some new findings...
They aren't the splashiest articles, but studies keep suggesting Ozempic has these "off-target" effects. Here's one showing the drug reduces alcohol intake... nature.com/articles/s4159…
Well we finally got an Ozempic vs. Mounjaro head-to-head (kind of)... Brief thread to break down the weight-loss-drug showdown...
Appearing today @JAMAInternalMed, we have this study, which is probably the closest we'll get to a semaglutide (Ozempic), tirzepatide (Mounjaro) randomized trial. (See my article @medscape for why we almost never get real trials of competitor drugs). medscape.com/viewarticle/mo…
This is a propensity-matched cohort study from @truveta - shout out to CTRA alum @SimonovSays - I'm sure you were behind the scenes on this.
Prior trials actually suggested that Mounjaro was a bit more effective than Ozempic... but there is an apples-to-oranges problem.
This week, we have an interesting article in @JAMA_current which finds that adding three biomarkers that are clearly associated with cardiovascular disease to an existing risk equation does NOT improve the predictive ability of that equation. How does this happen?
🧵
I want to take a minute to try to break our intuition that strength of association and strength of prediction are the same thing (or even necessarily related). An an example, I made up some fake data.
We have 10,000 people, followed for 10 years. 2000 Die. (Yikes).
At baseline, I measured a biomarker - called "Perry Factor" in everyone. It's a simple marker - in fact it only has two values, 0 and 1.