I have Sars-CoV-2,...and it sux,...
#76
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It doesn't sound like there's an issue with the test, rather they were premature in claiming the presence of antibodies ensures immunity. It likely does but that has yet to be proven.

#77
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And like I said, my point is I managed to get a false negative test result, and I've been told that I'd need to retake the test to get a true end result. The entire wall of text above, though descriptive, was truly unnecessary. Most of us are quite capable of understanding how this works. Well,...some of us. I know we have a few people around who deny anything based on actual science. I don't happen to be one of them. I've seen too many on point examples to say otherwise.
UPDATE: The antibody test I took wasn't from Roche, it was from ****tt Architect,...it's not 100% accurate. Oh, the way this entire pandemic is being handled is pathetic.
https://www.fda.gov/medical-devices/...st-performance
I wonder why the site is blocking the name of the company,...
UPDATE: The antibody test I took wasn't from Roche, it was from ****tt Architect,...it's not 100% accurate. Oh, the way this entire pandemic is being handled is pathetic.
https://www.fda.gov/medical-devices/...st-performance
I wonder why the site is blocking the name of the company,...


#79
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1. Your original Covid-19 positive test was wrong and you didn't have Covid or,
2. The recent serorogy test was a false negative
3. You had Covid-19 but didn't develop antibodies
2. The recent serorogy test was a false negative
3. You had Covid-19 but didn't develop antibodies

#80
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Very few of these tests have been verified with the normal rigor and the pressure to increase testing capacity may contribute to 'user error' or sample contamination. It sounds like either:
1. Your original Covid-19 positive test was wrong and you didn't have Covid or,
2. The recent serorogy test was a false negative
3. You had Covid-19 but didn't develop antibodies
2. The recent serorogy test was a false negative
3. You had Covid-19 but didn't develop antibodies
2 It was definitely a false negative
3 I'm losing confidence in the current tests available, and this whole situation is too mismanaged to be 100% conclusive at this stage.
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#81
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It is hard to get the antibody tests to behave correctly. The differences between background and positive signal are quite small, and calibration is still a big issue. In principle, they should be as reliable as a pregnancy ELISA, but they aren't quite there yet, and a lot of technical user error can be present.

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It is hard to get the antibody tests to behave correctly. The differences between background and positive signal are quite small, and calibration is still a big issue. In principle, they should be as reliable as a pregnancy ELISA, but they aren't quite there yet, and a lot of technical user error can be present.
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Testing is becoming more of a joke every passing day.
The overall mortality rate isn't much different than previous years is it?
I fully expected millions to be dead going by what the media was telling us.
The overall mortality rate isn't much different than previous years is it?
I fully expected millions to be dead going by what the media was telling us.

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It is a conspiracy right? The communist leaders and all of the western leaders are in on this corona virus thing. Talk about world cooperation.

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Last edited by BillyD; 05-25-20 at 07:20 PM.

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SHBR, leave this thread. That means no more posting here. If you want to make political comments, go to P&R

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I checked with my wife. She says the most reliable test right now is Roche, followed by A bb ot labs. My understanding is that these work essentially by detecting whether you have antibodies that bind to the virus spike protein. The problems seem to arise (when they do) from calibration, and the degree of signal you need to be considered a positive response. It also assumes that everyone who raises an antibody response does so to the spike protein, and I am not clear on how good an assumption that might be. There are also at least two different strains in NYC that have two different spike protein sequences.

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I checked with my wife. She says the most reliable test right now is Roche, followed by A bb ot labs. My understanding is that these work essentially by detecting whether you have antibodies that bind to the virus spike protein. The problems seem to arise (when they do) from calibration, and the degree of signal you need to be considered a positive response. It also assumes that everyone who raises an antibody response does so to the spike protein, and I am not clear on how good an assumption that might be. There are also at least two different strains in NYC that have two different spike protein sequences.
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tds101 Did you see this?
https://www.cnn.com/2020/05/26/healt...ong/index.html
I think this is primarily about false positives, rather than negatives, but it still makes me wonder...
Antibody tests for Covid-19 wrong half the time, CDC says
https://www.cnn.com/2020/05/26/healt...ong/index.html
I think this is primarily about false positives, rather than negatives, but it still makes me wonder...

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tds101 Did you see this?
https://www.cnn.com/2020/05/26/healt...ong/index.html
I think this is primarily about false positives, rather than negatives, but it still makes me wonder...
Antibody tests for Covid-19 wrong half the time, CDC says
https://www.cnn.com/2020/05/26/healt...ong/index.html
I think this is primarily about false positives, rather than negatives, but it still makes me wonder...
"For example, in a population where the prevalence is 5%, a test with 90% sensitivity and 95% specificity will yield a positive predictive value of 49%. In other words, less than half of those testing positive will truly have antibodies. Alternatively, the same test in a population with an antibody prevalence exceeding 52% will yield a positive predictive greater than 95%, meaning that less than one in 20 people testing positive will have a false positive test result."
That's just an example to illustrate how when you are trying to measure a small prevalence, the accuracy of the test can make the results rather meaningless.
https://www.cdc.gov/coronavirus/2019...uidelines.html
Not all the tests are as inaccurate as described in the CDC's example. The CDC recommends:
"Choosing a test with a very high specificity, perhaps 99.5% or greater, will yield a high positive predictive value in populations tested with prevalence >5%."
And if this is accuate, both <Costello's sidekick> and Roche have tests that appear to qualify:
https://www.evaluate.com/vantage/art...tibody-testing
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Questions about COVID-19 test accuracy raised across the testing spectrum
https://www.msn.com/en-us/health/hea...aZB?li=BBnb7Kz
#94
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Isn't that title grossly misleading? The title appears to be based on this statement from the CDC:
"For example, in a population where the prevalence is 5%, a test with 90% sensitivity and 95% specificity will yield a positive predictive value of 49%. In other words, less than half of those testing positive will truly have antibodies. Alternatively, the same test in a population with an antibody prevalence exceeding 52% will yield a positive predictive greater than 95%, meaning that less than one in 20 people testing positive will have a false positive test result."
That's just an example to illustrate how when you are trying to measure a small prevalence, the accuracy of the test can make the results rather meaningless.
https://www.cdc.gov/coronavirus/2019...uidelines.html
Not all the tests are as inaccurate as described in the CDC's example. The CDC recommends:
"Choosing a test with a very high specificity, perhaps 99.5% or greater, will yield a high positive predictive value in populations tested with prevalence >5%."
And if this is accuate, both <Costello's sidekick> and Roche have tests that appear to qualify:
https://www.evaluate.com/vantage/art...tibody-testing
"For example, in a population where the prevalence is 5%, a test with 90% sensitivity and 95% specificity will yield a positive predictive value of 49%. In other words, less than half of those testing positive will truly have antibodies. Alternatively, the same test in a population with an antibody prevalence exceeding 52% will yield a positive predictive greater than 95%, meaning that less than one in 20 people testing positive will have a false positive test result."
That's just an example to illustrate how when you are trying to measure a small prevalence, the accuracy of the test can make the results rather meaningless.
https://www.cdc.gov/coronavirus/2019...uidelines.html
Not all the tests are as inaccurate as described in the CDC's example. The CDC recommends:
"Choosing a test with a very high specificity, perhaps 99.5% or greater, will yield a high positive predictive value in populations tested with prevalence >5%."
And if this is accuate, both <Costello's sidekick> and Roche have tests that appear to qualify:
https://www.evaluate.com/vantage/art...tibody-testing
That "prevalence >5%" is a very important caveat, though. Let's say you're testing a population of 1000 people with an actual prevalence of 2%. If the test is 99.5% accurate, you should get 20 correct positives and 5 false positives. It's a lot better than a coin flip, but there would still be 20% of the positive tests that might cause people to falsely think they have immunity. If the actual prevalence is 1%, that false positive rate increases to 33.3% (5 out of 15 positives being false).

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That "prevalence >5%" is a very important caveat, though. Let's say you're testing a population of 1000 people with an actual prevalence of 2%. If the test is 99.5% accurate, you should get 20 correct positives and 5 false positives. It's a lot better than a coin flip, but there would still be 20% of the positive tests that might cause people to falsely think they have immunity. If the actual prevalence is 1%, that false positive rate increases to 33.3% (5 out of 15 positives being false).
Speaking of which ... are there any updated estimates for prevalence? I'm sure it varies widely by region, but I am wondering why they focused on the 5% number.
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That "prevalence >5%" is a very important caveat, though. Let's say you're testing a population of 1000 people with an actual prevalence of 2%. If the test is 99.5% accurate, you should get 20 correct positives and 5 false positives. It's a lot better than a coin flip, but there would still be 20% of the positive tests that might cause people to falsely think they have immunity. If the actual prevalence is 1%, that false positive rate increases to 33.3% (5 out of 15 positives being false).
Base rate bias. I went over this in Post #71 . I also mentioned the better reliability of the Roche ab assay compared to other manufacturers in that post. And then I sort of got told off by the OP in Post #72 .


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Anyway, I was responding to the numbers asserted in the report that biker quoted, so your reference back is really not helpful.
Last edited by livedarklions; 05-30-20 at 12:43 AM.

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Yeah,...ok,... It's amazing how I'm forced to prove to someone that I'd had the novel coronavirus, and that I'd end up in a dispute concerning the accuracy of the test that I'd taken. Do me a favor please, keep me out of your conversation. The sarcastic wink really helps BTW. 

The little blue winky was because I didn’t really feel like I got told off, especially considering you edited that post to agree with needing the Roche test. Anyway, keep working on getting better. Here’s to health!

#100
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I don’t know why you’re so defensive about having Covid or not. Even if all of your tests were negative, you could still actually have Covid. It sounds like you had it for sure, and some other serious lingering effects. Your struggle to get healthy again is not left unnoticed. You don’t have to prove anything to anyone here. If your provider(s) diagnose(d) you as a Covid patient. A diagnosis code of U07.1 is Covid positive, but you’re probably already aware of that.
The little blue winky was because I didn’t really feel like I got told off, especially considering you edited that post to agree with needing the Roche test. Anyway, keep working on getting better. Here’s to health!
The little blue winky was because I didn’t really feel like I got told off, especially considering you edited that post to agree with needing the Roche test. Anyway, keep working on getting better. Here’s to health!

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