https://www.businessinsider.com/heartburn-medicine-pepcid-sh...
> Hospitalized COVID-19 patients on famotidine appeared to be dying at a rate of about 14% compared with 27% for those not on the drug, although the analysis was crude and the result was not statistically significant.
That's a pretty large difference. For it not to be statistically significant, n is unlikely to be >50.
Since I doubt anything close to half of any random sample (?) takes this drug, we'd ideally want the control group significantly larger than the treatment group.
The solution I've come up with is 1/7=14% and 3/11=27%. Which also explains why they don't disclose these numbers.
It's important to note that there's really isn't a single virus that we can cure with a cheap and benign drug. Or really any drug. HIV took 40 years, untold billions, and is an uneasy stalemate more than a cure. HEP C is curable in the sense that most patients will rapidly improve upon hearing about the costs and side effects. Herpes? Influenza? Nope & no. Rabies? Standard of care is, or should be, a gun. Measles/Mumps/Ebola/Marburg/Lassa/HEP A/B/D/E? Not one cure!
Then, there's the "classified" protein docking simulations. I used to work in unclassified protein docking studies at a Max Planck I. If we had known there was an option to get our work classified, that would have done wonders for our careers! Unfortunately, all our failures happened out in the open, just as everyone else's.
This idea of "designing" molecules to act with some specific mechanism that you come up with by studying 3d-structures and running molecular dynamics is... controversial. As of five years ago when I left it was about as useful as astrology. Maybe it has improved: some parts are near-perfect scenarios for DNNs. But I somewhat doubt it. Even for molecules where we know the exact interactions they participate in, we suck at predicting the effect: you meddle with a bit of NO and every physiological textbook predicts it will lower blood pressure. Then you test it with some volunteers and they start stashing the stuff because it gives them a boner. And blue vision, somehow...
In as far as small-molecule drug research is still happening (as opposed to more lucrative and potentially far more powerful biologicals) it still happens the old-fashioned way of screening "randomised" candidates, only on far larger scales than ever: start with some structures that have been successful in similar situations, collect a few thousand variations based on your gut instinct, some simulation, and what's left over from that experiment the PhD candidate was running until she bit of that hamster's head in frustration Sunday night. Throw away everything that would kill you, throw away everything that might explode, throw away everything your target bacterium eats like ice cream, throw away everything that makes the mice question their job choices and intentionally fail the swim test, throw away everything Martin Shkreli has patented. Then spend a billion trying to find out how cancerous the two or three candidates left over really are. Yes, that's the good process.
Maybe we get lucky! This probably deserves to be tested, especially considering how cheap and safe it is. (Far too much bandwidth was wasted on you-know-what because of you-know-who that should have been used to go wide).
But I'd put chances of a successful drug treatment at <5%, some improvements in treatment protocols (ventilation etc) that cuts deaths by half or more at maybe 25%, and a vaccine at >80%. It also seems to me that our chances of eradication-through-behavioural-changes are underestimated: finding a way to sustainably push R<1.0 will, eventually, lead to eradication. Get < .5 (tests! tests! tests!) and it's a matter of weeks.
But this is not a story hyping a potential cure. It's a story about how our front line healthcare workers are trying everything they can in an effort to find something that works and sharing whatever they get a glimpse of having potential.
The collaborative effort is impressive. And we're lucky to have the tech to share information so quickly. That has it's drawbacks too. For example, I won't expect to see any Pepcid on the shelves already.
You worked in a field that hit you over the head with that truth everyday. People that work in health care do too. For sure those this article follows are right now.
Many people never experience that. They avoid it. They like things black and white and do not like any gray area at all. The "vaxxer vs antivaxxer" argument is an example of where some people aggressively take a side without considering how much we really do not know when it comes to how the human organism works. In the grand scheme of things we don't know squat about it.
To be fair, the advertisements for prescription drugs do rattle off a shit ton of potential consequences and disclaimers, so right there is another absolute proof of the flimsy state of the art, but they get ignored.
It's not that I'm skeptical. I don't think you are either. It's just understanding how little we really know about this kind of thing.
All that said, with the current effort being applied I think we have a good shot at beating it. We're at least better positioned now than we've ever been, which is not close to saying we're where we could or should be. But hopefully this will nudge us that direction.