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10.3390/vaccines9030227

http://scihub22266oqcxt.onion/10.3390/vaccines9030227
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33807818!7999682!33807818
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suck abstract from ncbi


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pmid33807818      Vaccines+(Basel) 2021 ; 9 (3): ä
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  • SARS-CoV-2 Neutralizing Antibodies: A Network Meta-Analysis across Vaccines #MMPMID33807818
  • Rogliani P; Chetta A; Cazzola M; Calzetta L
  • Vaccines (Basel) 2021[Mar]; 9 (3): ä PMID33807818show ga
  • Background: There are no studies providing head-to-head comparison across SARS-CoV-2 vaccines. Therefore, we compared the efficacy of candidate vaccines in inducing neutralizing antibodies against SARS-CoV-2. Methods: A network meta-analysis was performed to compare the peak levels of SARS-CoV-2 neutralizing antibodies across candidate vaccines. Data were reported as standardized mean difference (SMD) since the outcome was assessed via different metrics and methods across the studies. Results: Data obtained from 836 healthy adult vaccine recipients were extracted from 11 studies. BBIBP-CorV, AZD1222, BNT162b2, New Crown COVID-19, and Sputnik V induced a very large effect on the level of neutralizing antibodies (SMD > 1.3); CoVLP, CoronaVac, NVX-CoV2373, and Ad5-nCoV induced a large effect (SMD > 0.8 to 0.5 to /=70 years. Compared with AZD1222, BNT162b and mRNA-1237 have the advantage that they can be quickly re-engineered to mimic new mutations of SARS-CoV-2.
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