2021
DOI: 10.1016/j.jinf.2020.10.007
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False negative RT-PCR and false positive antibody tests–Concern and solutions in the diagnosis of COVID-19

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Cited by 19 publications
(14 citation statements)
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“… 58 At least half of these patients are RT-PCR negative, and many patients with a clear epidemiologic link to COVID-19 are both RT-PCR and antibody negative. 59 Patients who were recently infected with SARS-CoV-2 have detectable viral particles upon sensitive testing. 60 However, the current clinical testing is set to high specificity, excluding many samples that have trace quantities of virus.…”
Section: Resultsmentioning
confidence: 99%
“… 58 At least half of these patients are RT-PCR negative, and many patients with a clear epidemiologic link to COVID-19 are both RT-PCR and antibody negative. 59 Patients who were recently infected with SARS-CoV-2 have detectable viral particles upon sensitive testing. 60 However, the current clinical testing is set to high specificity, excluding many samples that have trace quantities of virus.…”
Section: Resultsmentioning
confidence: 99%
“…A first correction to the seroprevalence analysis presented in the previous Section is due to the sensitivity and specificity of the serological tests adopted in the survey screenings (for a recent note on the false positive and false negative in diagnosis of Covid-19, see (Jia, 2020b) ( Jia, Xiao, & Liu, 2020 )).…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, some studies fail to specify whether the tests used for selecting patients are PCR-based, serum antibody based, or a mixture of the two. This distinction is important because the rate of false positives and false negatives is much higher in the antigen/antibody tests, [108][109][110][111] meaning error rates may vary among studies. This limitation presents challenges for clinicians in determining the likelihood that patients with non-specific symptoms have Long COVID, and also presents difficulties for largescale efforts to characterize symptoms associated with COVID-19 and Long COVID.…”
Section: Ambiguity In Defining the Acute Infectious Periodmentioning
confidence: 99%