Medicine is messy. One of the reasons researchers experiment on animals is they can create uniform, standardized injuries to test potential remedies. It’s not like you can just cut open 50 people and see if something works better than a sugar pill. But, wait a second, we cut people open all the time. It’s called surgery.
In my video below, I discuss a double-blind, randomized, placebo-controlled study that investigated the efficacy of turmeric curcumin in pain and post-operative fatigue in patients who had their gallbladders removed. Fifty people were given either curcumin or an identical-looking placebo, along with rescue analgesics—i.e., actual painkillers to take if the pain became unbearable. Even though it’s just laparoscopic surgery, people don’t realize what a toll it can take. (You can be out of commission for a month!) In India, turmeric, found in curry powder, has traditionally been used as a remedy for traumatic pain and fatigue, so the researchers put it to the test.
According to the study, in the weeks following surgery, there was a dramatic drop in pain and fatigue scores in the turmeric curcumin group, with p-values of 0.000. Those are my kind of p-values! The “p-value” refers to a measure of the strength of evidence. The smaller it is, the stronger the evidence is that the result they found didn’t just happen by chance. By convention, a p-value under 0.05 is considered small enough for a result to be considered statistically significant. This means that you’d only expect to find a result that remarkable simply by coincidence 5% of the time, or in 1 out of 20 cases. So a p-value like the one in the study, <0.000, suggests you’d have to run the experiment thousands of times before you’d come up with such a dramatic result just by chance.
It’s hard to come up with objective measures of pain and fatigue, but drug-wise, the curcumin group was still in so much pain they were forced to take 7 of the rescue painkillers. In the same time period, though, the control group had to take 39 pain pills.