If 2,000 women are screened regularly for ten years, one will benefit from the screening, as she will avoid dying from breast cancer. At the same time, ten healthy women will...become cancer patients and will be treated unnecessarily. These women will have either a part of their breast or the whole breast removed, and they will often receive radiotherapy, and sometimes chemotherapy. Furthermore, about 200 healthy women will experience a false alarm. The psychological strain until one knows whether or not it was cancer, and even afterward, can be severe.
and
It has not been shown that women who undergo regular screening live longer than those who don’t.
Note that we're talking here about scheduled mammograms, done because the calendar shows a particular date, not a diagnostic test done because there are observed symptoms that need to be understood. We're also talking about the general population, not people whose family histories or other risk factors would lead them to be in a higher-risk pool.
For men, you can make a similar argument about PSA tests and prostate cancer though I don't have the numbers handy.
I realize that trying to get people to understand false positives/false negatives and the like is tilting at peculiar windmills, but I do it nonetheless.
no subject
Date: 2010-10-28 05:31 pm (UTC)no subject
Date: 2010-10-28 05:36 pm (UTC)no subject
Date: 2010-10-28 06:12 pm (UTC)Part of the problem with the mammogram example is not just "false positives"; it's how the medical establishment responds to false positives.
Modern data-mining techniques can make use of all of the data from regular screenings. Without destroying some women's lives.
no subject
Date: 2010-10-28 09:51 pm (UTC)If it were 20,000 women screened, would that be OK?
Or is it the 1 person avoiding vs 10 unnecessary treatments? Are you looking for 1 person avoiding vs 1 unnecessary treatments?
Or 1 person avoiding cancer vs 200 false alarms, most of which don't result in treatment? Would it be OK with 20?
What is "good enough", and how do you measure it?
Hypothetically
Date: 2010-10-28 10:24 pm (UTC)Why do you ask?
Really
Date: 2010-10-28 10:25 pm (UTC)See also vaccination.
I'm not sure
Date: 2010-10-28 10:26 pm (UTC)no subject
Date: 2010-10-29 02:40 am (UTC)Watch and wait isn't bad for a general group
Date: 2010-10-29 03:10 am (UTC)Re: I'm not sure
Date: 2010-10-29 11:42 am (UTC)Well, educating folks about the dangers/risks of false positives and false negatives is only helpful if you provide recommendations on how to reduce both whether that be peer review of diagnoses that prove to be incorrect and some sort of follow-up monitoring or random sampling peer review of that doctor's anallysi going forward until they "improve" or something else.
IANAD by any means so I have no idea if this is even a plausible or workable solution, just trying to suggest possible reccommendations to solving the ongoing issue of false positives and improving them much like one would train AV or anti-malware software.
Use a peer/mentor network of more accomplished ...analysts (?) In the review process to better train those who seem to have one or more false positive (or worse, false negative) incidents.
Thoughts?
I like a baseline
Date: 2010-10-29 10:56 pm (UTC)Do other countries do this? Is this maybe part of America's obsession with breasts and controlling women's bodies?