2020
DOI: 10.1186/s13054-020-03138-4
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Detection of IgG antibody during the follow-up in patients with COVID-19 infection

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Cited by 14 publications
(15 citation statements)
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“…Given the key role of IgG in modulating the immune response, further efforts in developing vaccines and preventing reinfection are dependent on a better understanding of IgG changes in patients who have recovered from COVID-19 infection. Liu et al tested 484 patients for SARS-CoV-2 IgG antibodies at 100 days after symptom onset and noted that 18% were tested negative [30]. In our study, the level of SARS-CoV-2 IgG rose signi cantly in patients at 3 months of follow-up (Group A and B) ( Fig.…”
Section: Arterial Blood Gas Analysis At Follow-upsupporting
confidence: 53%
“…Given the key role of IgG in modulating the immune response, further efforts in developing vaccines and preventing reinfection are dependent on a better understanding of IgG changes in patients who have recovered from COVID-19 infection. Liu et al tested 484 patients for SARS-CoV-2 IgG antibodies at 100 days after symptom onset and noted that 18% were tested negative [30]. In our study, the level of SARS-CoV-2 IgG rose signi cantly in patients at 3 months of follow-up (Group A and B) ( Fig.…”
Section: Arterial Blood Gas Analysis At Follow-upsupporting
confidence: 53%
“…Theodore Roosevelt carrier during a SARS-CoV-2 outbreak; this study had high risk of bias due to low participation (27% of eligible participants were included in the sample), differences in the age and racial distribution of participants compared with nonparticipants, and use of participant self-report for RT-PCR and serology test results ( 49 ). Among cross-sectional and cohort studies with high risk of bias, the most serious methodological issues were unclear patient selection methods (that is, whether selection was random or consecutive) and lack of adjustment for confounding factors, like age, that could influence subgroup comparisons ( 16 , 18 , 24 , 40 , 42 , 45 , 51 , 54 , 57 , 66 , 68 , 74 , 76 , 77 , 79 ). In the immunoassay validation studies, inadequate reporting of patient selection methods and unclear or inconsistent criteria for interpreting immunoassay results meant that we could not rule out high risk of bias and limited the clinical applicability of results ( 14 , 15 , 22 , 25 , 26 , 32 , 33 , 37 , 43 , 44 , 48 , 56 , 64 , 65 , 69 , 71 , 72 ).…”
Section: Resultsmentioning
confidence: 99%
“…(2) 45 cross-sectional or cohort studies [18][19][20][21][22][23]25,26,29,31,32,35,37,[39][40][41][42][43][44]47,48,[51][52][53][54][55][56][58][59][60][61][62][63][64][67][68][69]71,[74][75][76][77][78][79][80] characterizing the antibody response (i.e., antibody types, levels, and duration) among adults with SARS-CoV-2 infection; and 317 studies validating the diagnostic performance of one or more immunoassays. 16,17,24,27,…”
Section: Study Characteristicsmentioning
confidence: 99%
“…50 Among cross-sectional and cohort studies with high risk of bias, the most serious methodologic issues were unclear patient selection methods (i.e., whether selection was random or consecutive) and lack of adjustment for confounding factors, like age, that could influence subgroup comparisons. 18,20,41,43,47,52,55,58,67,69,77,78,80 In the immunoassay validation studies, inadequate reporting of patient selection methods and unclear or inconsistent criteria for interpreting immunoassay results meant we could not rule out high risk of bias and limited the clinical applicability of results. 16,17,24,27,28,33,34,38,45,46,49,57,65,66,70,72,73 Abbreviations: IgM/G/A = immunoglobulin M/G/A; Nab = neutralizing antibody; RT-PCR+ = reverse transcription polymerase chain reaction positive result; RT-PCR = reverse transcription polymerase chain reaction.…”
Section: Study Characteristicsmentioning
confidence: 99%