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by dahart
1345 days ago
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> No reasonable person would get one absent demonstrated benefit. But if we insist on measuring demonstrated benefit by factoring in participation rates, then it’s a catch-22. What if given a prior distribution of 100% opt-in, colonoscopies are effective? And you ignored my question about what if we made colonoscopies more convenient, less intrusive and time consuming, which is becoming possible with new tech. These things can change the participation rate, which in turn can flip the outcome from little demonstrated benefit to high and conclusive demonstrated benefit. > this study did the fairest possible test for effectiveness of colonoscopies “Fair” is a subjective term, and it depends on what question you’re asking. I agree with your statement if the question is how effective is the current system of recommending colonoscopies. It’s not the fairest test of how effective a colonoscopy screen could be if everyone shows up for the screen. Colonoscopies might be not better than genetic tests because participation rates for genetic tests are higher, as opposed to colonoscopy screening being less effective on their own. I understand your point that the total probability is important. But so is understanding the Bayesian factors, it’s equally enlightening and important to separate and understand the effectiveness of the screen given participation, from the likelihood of participation. And you effectively cemented how important this point is by clarifying that people use knowledge of these outcomes in order to choose whether or not to participate, so framing them incorrectly can and likely does lead to unnecessary loss of life. |
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That is what the "per-protocol" analysis in this RCT estimates. They considered only those people who had a colonoscopy. This completely breaks randomization and is subject to investigator bias, but at least it gives you an idea of the best you could possibly do if you lived in a world where everyone was forced to get one.
And that is: a drop of 0.15% in colo-rectal death. They then attempt to extrapolate this to estimate the effect on all-cause mortality if you somehow forced everyone to get a colonoscopy, and come up with a number of 10.88% (vs. a baseline of 11.03%). So, even if you forced everyone to get a test, you'd need to test 667 people to save one life.
That's a lot of pain for very little gain.