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A positive IgM and negative IgG test result after the first month of infection is generally indicative of a false-positive result. [118] The number of IgM antibodies usually collapses 4–6 months after infection, while IgG antibodies can remain detectable for years. [117] Other tests may be used in neuroborreliosis cases.
Patients who receive a false chronic Lyme diagnosis are frequently told that they have other diagnoses that are not scientifically recognized. [40] [41] Infections may be diagnosed even without compatible symptom history, exposure in an endemic area, or credible positive test results. [40]
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
The symptoms of Lyme are often similar to those of fibromyalgia, chronic fatigue syndrome, or various inflammatory disorders, but according to “The Quiet Epidemic” many patients with chronic ...
Why some people recover from Lyme disease, while others experience months, years or even decades of chronic symptoms has long puzzled doctors. Why Lyme disease symptoms go away quickly for some ...
Grist finds that a revised CDC reporting system led to a 70% increase in reported cases of Lyme disease, but experts say more can be done. ... Now, a positive laboratory test is sufficient ...
Borrelia burgdorferi is a bacterial species of the spirochete class in the genus Borrelia, and is one of the causative agents of Lyme disease in humans. [1] [2] Along with a few similar genospecies, some of which also cause Lyme disease, it makes up the species complex of Borrelia burgdorferi sensu lato.
In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.