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  2. Diagnosis of HIV/AIDS - Wikipedia

    en.wikipedia.org/wiki/Diagnosis_of_HIV/AIDS

    The specificity rate given here for the inexpensive enzyme immunoassay screening tests indicates that, in 1,000 HIV test results of healthy individuals, about 15 of these results will be a false positive. Confirming the test result (i.e., by repeating the test, if this option is available) could reduce the ultimate likelihood of a false ...

  3. ELISA - Wikipedia

    en.wikipedia.org/wiki/ELISA

    [28] [29] ELISA can also be used in toxicology as a rapid presumptive screen for certain classes of drugs. Enzyme-linked immunosorbent assay plate. The ELISA was the first screening test widely used for HIV because of its high sensitivity. In an ELISA, a person's serum is diluted 400 times and applied to a plate to which HIV antigens are attached.

  4. Talk:Diagnosis of HIV/AIDS - Wikipedia

    en.wikipedia.org/wiki/Talk:Diagnosis_of_HIV/AIDS

    It seems like there is some confusion in Section 3.6 (Accuracy of HIV testing). The current version reads: "The specificity rate given here for the inexpensive enzyme immunoassay screening tests indicates that, in 1,000 positive HIV test results, about 15 of these results will be a false positive."

  5. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    A negative result in a test with high sensitivity can be useful for "ruling out" disease, [4] since it rarely misdiagnoses those who do have the disease. A test with 100% sensitivity will recognize all patients with the disease by testing positive. In this case, a negative test result would definitively rule out the presence of the disease in a ...

  6. OraQuick - Wikipedia

    en.wikipedia.org/wiki/OraQuick

    In a clinical study, trained professionals compared HIV test results of OraQuick In-Home HIV Test with results from laboratory testing. The study was conducted on 4,999 participants and found OraQuick testing correctly generated a negative result 4,902 times out of the 4,903 times laboratory testing generated a negative result (99.9%). [10]

  7. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

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