Evidence map›Paper›PMID 34332084›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021

Initial SARS-CoV-2 vaccination response can predict booster response for BNT162b2 but not for AZD1222.

Thomas Perkmann, Nicole Perkmann-Nagele, Patrick Mucher, Astrid Radakovics, Manuela Repl, Thomas Koller, Galateja Jordakieva, Oswald F Wagner, Christoph J Binder, Helmuth Haslacher

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Comparison of five Anti-SARS-CoV-2 antibody assays across three doses of BNT162b2 reveals insufficient standardization of SARS-CoV-2 serology.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2023
    Article
  4. Observational
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. The strength of association between pre-and post-booster BNT162b2 anti-SARS-CoV-2 antibodies levels depends on the immunoassay.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Thomas PerkmannDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Nicole Perkmann-NageleDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Patrick MucherDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Astrid RadakovicsDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Manuela ReplDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Thomas KollerDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Galateja JordakievaDepartment of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Vienna, Austria.
Oswald F WagnerDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Christoph J BinderDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Helmuth HaslacherDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria. Electronic address: helmuth.haslacher@meduniwien.ac.at.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) antibody levels after the first dose of vaccine can predict the final antibody response, and whether this is dependent on the vaccine type.

methodsSixty-nine recipients of BNT162b2 (Pfizer/BioNTech) and 55 recipients of AZD1222 (AstraZeneca), without previous infection or immunosuppressive medication, were included in this study. Antibody levels were quantified 3 weeks after the first dose [directly before boostering in the case of AZD1222 (11 weeks after the first dose)] and 3 weeks after the second dose using the Roche Elecsys SARS-CoV-2 S total antibody assay.

resultsMedian pre-booster {BNT162b2: 80.6 [interquartile range (IQR) 25.5-167.0] binding antibody units (BAU)/mL; AZD1222: 56.4 (IQR 36.4-104.8) BAU/mL; not significant} and post-booster [BNT162b2: 2092.0 (IQR 1216.3-4431.8) BAU/mL; AZD1222: 957.0 (IQR 684.5-1684.8) BAU/mL; P<0.0001] levels correlated well in the recipients of BNT162b2 (ρ=0.53) but not in the recipients of AZD1222. Moreover, antibody levels after the first dose of BNT162b2 correlated inversely with age (ρ=-0.33, P=0.013), whereas a positive correlation with age was observed after the second dose in recipients of AZD1222 (ρ=0.26, P=0.030).

conclusionsThe results of this study suggest that antibody levels quantified by the Roche Elecsys SARS-CoV-2 S assay before the booster shot could infer post-booster responses to BNT162b2, but not to AZ1222. In addition, this study found a vaccine-dependent effect on antibody responses, where age seems to play an ambivalent role.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralBNT162 VaccineChAdOx1 nCoV-19COVID-19 VaccinesHumansVaccinationAntibodies, ViralBNT162 VaccineChAdOx1 nCoV-19COVID-19 VaccinesAgeAntibodyAZD1222BNT162b2SARS-CoV-2Serology

Identifiers

PMID34332084
PMCPMC8317449
OpenAlexW3183660506

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.