Evidence map›Paper›PMID 38689059›Full record

ArticleNature medicine2024

Correlates of protection against symptomatic SARS-CoV-2 in vaccinated children.

Youjia Zhong, Alicia Y H Kang, Carina J X Tay, Hui' En Li, Nurul Elyana, Chee Wah Tan, Wee Chee Yap, Joey M E Lim, Nina Le Bert, Kuan Rong Chan and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Trial
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  7. Observational
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  9. Article
  10. Dengue and severe dengue.Clinical microbiology reviews · 2025
    Review
  11. Article
  12. Article
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  14. Article
  15. Article
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  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Youjia ZhongDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore. youjiazhong@nus.edu.sg.ORCID 0000-0002-3795-6319
Alicia Y H KangDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Carina J X TayDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Hui' En LiDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Nurul ElyanaDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Chee Wah TanInfectious Diseases Translational Research Programme, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-9837-1413
Wee Chee YapProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Joey M E LimProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0003-4775-2376
Nina Le BertProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0003-0502-2527
Kuan Rong ChanProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-2427-671X
Eugenia Z OngProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Jenny G LowProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Lynette P ShekDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.ORCID 0000-0001-9064-8983
Elizabeth Huiwen Tham *Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.ORCID 0000-0003-1037-6143
Eng Eong Ooi *Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore. engeong.ooi@duke-nus.edu.sg.ORCID 0000-0002-0520-1544

Funding

MOH | National Medical Research Council (NMRC) NUHSRO/2021/081/NUS Med/07/MARVELS
6 · The paper itself

Abstract

The paucity of information on longevity of vaccine-induced immune responses and uncertainty of the correlates of protection hinder the development of evidence-based COVID-19 vaccination policies for new birth cohorts. Here, to address these knowledge gaps, we conducted a cohort study of healthy 5-12-year-olds vaccinated with BNT162b2. We serially measured binding and neutralizing antibody titers (nAbs), spike-specific memory B cell (MBC) and spike-reactive T cell responses over 1 year. We found that children mounted antibody, MBC and T cell responses after two doses of BNT162b2, with higher antibody and T cell responses than adults 6 months after vaccination. A booster (third) dose only improved antibody titers without impacting MBC and T cell responses. Among children with hybrid immunity, nAbs and T cell responses were highest in those infected after two vaccine doses. Binding IgG titers, MBC and T cell responses were predictive, with T cells being the most important predictor of protection against symptomatic infection before hybrid immunity; nAbs only correlated with protection after hybrid immunity. The stable MBC and T cell responses over time suggest sustained protection against symptomatic SARS-CoV-2 infection, even when nAbs wane. Booster vaccinations do not confer additional immunological protection to healthy children.

Indexed as

Antibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19SARS-CoV-2T-LymphocytesVaccinationChildChild, PreschoolCohort StudiesCOVID-19 VaccinesFemaleHumansImmunization, SecondaryImmunoglobulin GMaleAntibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesImmunoglobulin GSpike Glycoprotein, Coronavirus

Identifiers

PMID38689059
PMCPMC11164684

What OpenQuestion holds

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LicenceCC BY
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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.