Bob3000 wrote:
And yet despite these proposed differences in aPAP algorithms, no company has been able to conduct and publish a clinical trial demonstrating the superiority of their algorithm over their competitor's algorithms.
My point exactly.
Company A is good for 75% of the population.
Company B is good for 75% of the population.
50% of the population will do great on either company A's algorithm or company B's algorithm.
A's 25% failure (lets call them A25) would do fine on B's algorithm.
B's 25% failure (lets call them B25) would do fine on A's algorithm.
Neither algorithm is superior -- and
I never maintained there was one algorithm superior to another in all cases. And yet, when you add A25 +B25 you get 50% of the population that would have done better on another machine.
You can play around with the number as much as you want -- unless you have a 100% success on all parameters, your point about the window dressing is untenable.
If in fact a particular algorithm is more effective at large or for a sub-population of OSA sufferers, there would be clinical trials demonstrating this if only so that the company could profit by advertising this advantage.
An assumption.
If company A advertises B25 do better on their algorithm company B can respond that that A25 do better on theirs. Both companies would prefer to have their equipment sold to 100% of the population, not the 75% it treats effectively, and will go to any lengths to sell their machines.
If that means advertising their machine as a the next magic cure that will work fine when set at a 4-20 range, they will do so, and have done so.
Discovering reliably that a specific APAP does not fit a specific patient and has to be done on a case by case basis. It has nothing to do with the size of the population that in not well served by one algorithm or another. It could be 0.01% of the population. So what? Those people exist, and need good therapy.
At this point, you rely on hearsay and single patient accounts, which are notoriously unreliable. I am much more inclined to believe that in any single case of someone seeing a dramatic benefit by switching aPAP machines, the patient also knowlingly or unknowingly changed one or more other variables that would account for the improvement better than the switching of the aPAP device.
In other words, you prefer to rely on your thoughts and your beliefs your assumptions, to the data presented by patients. You assume you know better than the person who tells you "I changed a machine, and wow, what a difference that has made!".
Correlation does not equal causation
,
How very true.
which is exactly why peer-reviewed studies of clinical trials exist, and are the best way to answer the questions we're discussing.
Only experiments, in which you control variables are proof of causation.
I maintain the people who changed machines and felt better (or worse) were running a controlled experiment in which they changed only one variable -- the algorithm. You have no basis for your assumption that they were incapable of running those experiments and of interpreting their results. The world is full of valid experiment run every day by people trying to better their live, get and give good therapy, and those excellent experimnts are not published anywhere. As a matter of fact, you doctor and you were running one such experiment when you, as a team, solved your cpap therapy problem. The fact it was not published in a peer reviewed journal is neither here nor there.
A general claim that "one algorithm is superior to the other" is as ridiculous as the claim that one mask is superior to the other.
ResMed claims their Quattro mask fits 95% of the population. Is that a reason for me to maintain that you, "the patient also knowingly or unknowingly changed one or more other variables that would account for the improvement better than the switching of the mask"?
Peer reviewed studies are very important for
describing a general rule. Therapy however always has to be is decided by careful observation on the single case facing you. Never confuse them. If you want to serve an instition and save it money, then by all means, use generalizations and go by the rules that are right for 99.999% of the population. If you want to give good therapy to the one human being facing you, you had better observe him or her very very carefully, control all variables as you try to understand what is going on there, and the give this person the therapy that works for 1 in 10,000, if that is what that person needs. Because the minute a person begins interacting with you, he or she becomes 100% of your population.
And now here is my secret, a very simple secret; it is only with the heart that one can see rightly, what is essential is invisible to the eye.
Antoine de Saint-Exupery
Good advice is compromised by missing data
Forum member Dog Slobber Nov. 2023