Bob:
"I can't see that it is misleading because they were using a negative result to indicate a negative result."
This continues to astound me, it really does.
here, let me try again.
Lets say a patient goes to his doctor, and says, 'Doc, I did something really stupid 5 months ago with someone I met in a bar. Two weeks later I got what felt like flu, and now I notice my glands are swollen. i suspect I may have been infected by HIV. Can you test me?"
SoDoc taeks a blood sample,and sends it to the clinical lab, and a week later the clinical lab sends back a report saying "HIV negative", with teh test results attached.
But the doc takes a look at the actual test results, which are labelled 'HIV Test Results, and notices that it is actually a negative test result for Syphilis.
So he calls the lab, and says, "This is wrong."
The lab tells Doc, "That's ok. Trust me, he's negative. We just substituted one negative result for another, and relabeled it so it loos like an HIV test result."
""It simplified the slide primarily for a patient audience," the Lab says. "This is not in anyway inappropriate for a presentation as long as the data are correct, and they are.""
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As a doctor, or a patient, are you going to now trust that result?
The entire point of the slide i question, at the presentation in Toronto, was a comparison of a patient negative without 5AZA, to a patient positive with 5AZA. But there was no 'patient negative without 5AZA' data on the slide. None. She relabeled a control negative to look like a negative patient sample, and told her 'primarily patient' audience that it was a patient negative. The key comparison she told us that slide showed us, did not exist anywhere on that slide, even though she told us it did.
None of this is opinion. She did it. its a fact. That's a quote up there from Mikovits in the Nature article of a couple weeks ago.. She told us she was showing us a patient negative without 5AZA, as one part of THE key interpretation of that slide, but she showed us no such thing, and she knew it. She justified it.
That is data falsification. By definition - false presentation of data.
And having seen it, i don't trust that point, or that scientist, any more than I would trust the HIV test result, or the lab that lied about the result they falsely labelled and sent and said, 'trust me, you aren't infected.'.