Okay, I really don’t want the data. I don’t want the data because:
(1) if I see something, I have to act on it, despite not actually having the knowledge of whether it means anything in this information-rich context. I just love things that -look- like information but that don’t actually tell me anything.
(2) we have a LOT of data suggesting that we do more harm than good when we try to intervene or investigate everything. For Pete’s sake, hospice patients outlive those who are actually pursuing life extension! Turns out every treatment has harms, and when you’re applying those harms to no benefit (because the patient is asymptomatic, or the anomalous event was never destined to progress to clinical disease), you just accrue harm that -looks- like care.
3) It is not likely to result in useful diagnosis, because catching shit pre-clinically offers little indication of what will or won’t become clinical. We see this in helical CT: a lot of people became “cancer patients” when helical CT came out, before we realized a LOT of growths recede forever without intervention - we just hadn’t seen them before, on the less sensitive tech.
If I see the data I have to act on it to cover my (American) ass, and I know I will do net harm to my patients. Thanks but no thanks. Do your due diligence: collect the data, analyze it, stick it in a properly randomized prospective study to see if you just trawled your way into an overfitted model, and prove that the intervention for it does more good than harm. THEN I’ll be delighted to use that specific data to pursue that specific intervention. Don’t just measure everything, throw it at my wall like hot spaghetti, and expect me to turn it into dinner.
-my blunt anonymous opinion, since it was asked for