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No, as I explained, when disease prevalence is low, most tests -- even when clearly "positive" -- don't shift probabilities in any appreciable way, and just add to the noise, and render decision making even harder.

Of all patients, nurses and doctors are the ones who are the less likely to asks for "more tests", precisely because they understand that they are essentially meaningless when pre-test probability is very low.

Suggested readings :

1. Bayes' Theorem: https://en.wikipedia.org/wiki/Bayes%27_theorem

2. Base rate fallacy: https://en.wikipedia.org/wiki/Base_rate_fallacy




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