Prevention
11 of the 62 studies are on its prophylaxis properties (i.e. prevention) with an average improvement of 89% vs the control group.
Example: RCT: "PEP trial for asymptomatic close contacts of COVID-19 patients, 203 ivermectin patients and 101 control patients. 7.4% of contacts developed COVID-19 in the ivermectin group vs. 58.4% in the control group, adjusted odds ratio OR 0.087, p < 0.001. "
FYI a p value of less than 5% (0.05) is the standard proof of efficacy. This is not as good as the (Moderna or Pfizer) vaccines (which is about 93%-95% effective) but is still not too bad.
This is the Shoumann study "Use of Ivermectin as a Potential Chemoprophylaxis for COVID-19 in Egypt" Article can be found on the site Chaimel6 referenced, from the Source or PDF link near the facebook icon on this page:
https://c19ivermectin.com/shouman.htmlIn the vaccine studies, people were injected with vaccine and let loose into the world, as the scientists waited months to see whether any of them were exposed to a covid-positive person and developed the disease.
This study took a much faster approach to testing a drug: When a person was diagnosed with covid, they gave ivermectin to their family members, to see whether it could prevent covid symptoms over the next 2 weeks in those people who had a known recent contact with a covid-positive person.
Although it's a good question, I'm not certain that they chose the best way to study it. Let's say there were two people from two different families who were diagnosed with covid: Jack and Jill, and each lives with an extended family of 10 people. There are two possible ways they could have done the study:
Method 1:
Jack's family: 5 family members given ivermectin, 5 family members untreated
Jill's family: 5 family members given ivermectin, 5 family members untreated
Using this method, they would then count up how many covid cases occurred among those who were treated with ivermectin (n=10)
Method 2:
Jack's family: 10 family members given ivermectin
Jill's family: 10 family members not treated
They actually chose this method. That is, in some families, all the family contacts got ivermectin, and in some families none of them did. This makes it difficult to interpret the results. If all of the covid cases occurred in Jill's family, is it because they didn't take ivermectin? Or is it because Jill's family lives in more cramped conditions, with less air flow to remove the virus? Or because there's less cleaning going on? Or because her relatives are genetically more susceptible to the virus?
In other words, the people getting the drug are all living in different situations than the untreated people. How would you analyze that statistically? It doesn't seem accurate to say that you have the same n=10 as you would have using the first method. Maybe it would be more accurate to say that you have n=1 in this scenario, where you are statistically analyzing the number of HOMES where covid appeared, rather than considering it as n=10, where you are analyzing the number of INDIVIDUALS. What do you think?
This study was done last summer, when the authors saw ivermectin as a stop-gap measure until vaccines would be produced. They write " At the same time, vaccine, or specific antiviral treatment is not available until now. Both of them may need a lengthy time to be invented, preclinically and clinically examined, approved and widely produced. Drug repurposing is the best possible time-worthy avenue for combating this emergent infection."
There's no reason to think that the authors of this study would be advocating for use of ivermectin in America today, now that vaccines have become available. They conclude that the drug is worth studying more rigorously, because it's cheap and widely available around the world, not that "it protects almost as well as the vaccine."