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If a ME/CFC diagnostic test has to be made available, what success rate of separation of CFS from non-CFS patients do you expect realistically?

50-70%
20%
70-90%
47.6%
90-100%
32.4%

466 votesFinal results

Bhupesh K Prusty

@BhupeshPrusty

Jul 22, 2020

At this moment, we are at the mark of 75%. Where are we failing? We are mostly missing the mark with mild CFS patients. With controls our failure rate is 10% and that is mostly with EBV positive non-CFS patients. Long way to go as we are testing many different parameters.

151

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That's sounds great to me, certainly an improvement on the status quo. If I understand correctly: - a 25% false negative in mild CFS - a 10% false positive in controls (if they have EBV) Thank you so much for your persistence & innovation. & patient engagement

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25% false positive in total.

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and

I mean 25% failure rate in total.

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Remember that subgrouping will likely be important.

@CfSforMECFS

did that in their paper released today. They've written two papers where they subgroup by presence of IBS. They also use multiple different markers.

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and

I agree with sub grouping and that is not going to be very easy.

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A challenge is perhaps whether to start grouping by symptom subsets, or to delineate subgroups based on clusters of markers. For the latter, AI "unsupervised learning" could work if data set is large enough...

@lifeanalytics

? Is that near the mark?

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We are able to identify severe ME/CFS patients with neurological issues using many parameters with a success rate of 100%. That means we have a clear sub-grouping with these patients. Mild and moderate patients are difficult to group as many parameters overlap.

7:33 PM · Jul 22, 2020Twitter Web App

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