It could harm though. Drugs have side effects, and you are talking about giving someone who is already very ill drugs where you have no idea if they work or not, that could weaken them even more. You could use that logic to justify taking any drug you want as a treatment.
There isn't strong evidence, and you can't just eyeball studies and assume you understand them with no training.
I have cystic fibrosis, and I have tried to do things like this before by looking at studies on unverified treatments. It doesn't work. You just end up with snake oil. I have a masters in biomedical engineering, and I couldn't do it.
Interpreting studies is hard. Interpreting meta analysis accurately is super hard. Tons of studies are fake, or have bias, or have poor methodology. That website is total bullshit and is just throwing all the studies in to their statistical soup and mixing them together to come up with nonsensical results.
"There is evidence of a negative publication bias, and the probability that an ineffective treatment generated results as positive as the 65 studies is estimated to be 1 in 403 billion."
> There isn't strong evidence, and you can't just eyeball studies and assume you understand them with no training.
I'm no medical anything but I do have extensive academic and statistical training. There is enough in these studies for someone to take Ivermectin as an "eh, why not?" gambit. There is evidence it is helpful, although the evidence isn't conclusive (or even especially strong). Some doctors are already prescribing it, quite reasonably.
There isn't strong evidence, and you can't just eyeball studies and assume you understand them with no training.
I have cystic fibrosis, and I have tried to do things like this before by looking at studies on unverified treatments. It doesn't work. You just end up with snake oil. I have a masters in biomedical engineering, and I couldn't do it.
Interpreting studies is hard. Interpreting meta analysis accurately is super hard. Tons of studies are fake, or have bias, or have poor methodology. That website is total bullshit and is just throwing all the studies in to their statistical soup and mixing them together to come up with nonsensical results.
"There is evidence of a negative publication bias, and the probability that an ineffective treatment generated results as positive as the 65 studies is estimated to be 1 in 403 billion."
Lol, wtf?