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We seem pretty great about not having false positives with blood glucose and diabetes. There are of course lots of false positives in other areas. But I'm sure
by amalgamated_inc 4y ago
We seem pretty great about not having false positives with blood glucose and diabetes. There are of course lots of false positives in other areas. But I'm sure we could dial in many of those type-1/type-2 errors, or just look at the ones where we're confident in the ratio and that there's a net benefit.
- vidarh 4y agoOf course there are false positives. Any time you do anything at scale there will be, be it due to precision of equipment, equipment failure, or user error. When a true positive is rare, the false positives can easily swamp them. E.g. one Canadian paper claims a glucose test for diabetes gives a false positive rate 6 times higher than true positive in the general population [1] (the numbers will of course be much better in a group where risk factors are present). A challenge is that becoming confident of the ratio is difficult. What do you count? Routine mammography has been scaled back some places because even miniscule false positive rates seemed to rack up enough downsides alongside surprisingly low benefits (you caught things earlier, but the difference turns out to have less impact on survival rates than you might think) when the true positive rate is also tiny. The end result is that the candidate pool for large scale screening programs where we can be confident of a net benefit is surprisingly small, and it may well be we'll see further declines in use of large scale screening rather than increases, as improved treatment often further cuts into the net benefit of early detection. [1] https://pubmed.ncbi.nlm.nih.gov/9368868/ https://pubmed.ncbi.nlm.nih.gov/9368868/