Evidence map›Paper›PMID 38014095›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents.

Qiong Wu, Jiayi Tong, Bingyu Zhang, Dazheng Zhang, Jiajie Chen, Yuqing Lei, Yiwen Lu, Yudong Wang, Lu Li, Yishan Shen and 18 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Evaluating ChatGPT responses in the context of a 53-year-old male with a femoral neck fracture: a qualitative analysis.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 11 institutions in 1 country.

Qiong WuDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-5747-1899
Jiayi TongDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-1213-6699
Bingyu ZhangDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Dazheng ZhangDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Jiajie ChenDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Yuqing LeiDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Yiwen LuDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Yudong WangDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Lu LiDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Yishan ShenDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Jie XuDepartment of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL, USA.
L Charles BaileyApplied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0002-8967-0662
Jiang BianDepartment of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-2238-5429
Dimitri A ChristakisCenter for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA, USA.
Megan L FitzgeraldDepartment of Medicine, Grossman School of Medicine, New York University, New York, NY, USA.
Kathryn HirabayashiApplied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Ravi JhaveriDivision of Pediatric Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.ORCID 0000-0001-9921-0419
Alka KhaitanDepartment of Pediatrics, Ryan White Center for Pediatric Infectious Diseases and Global Health, Indiana University School of Medicine, IN, USA.
Tianchen LyuDepartment of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Suchitra RaoDepartment of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA.ORCID 0000-0002-0334-6301
Hanieh RazzaghiApplied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0001-5001-1590
Hayden T SchwenkDepartment of Pediatrics, Stanford School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8164-8655
Fei WangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Margot I WitvlietDepartment of Sociology, Social Work and Criminal Justice, Lamar University, Beaumont, TX, USA.
Eric J Tchetgen TchetgenDepartment of Statistics and Data Science, The Wharton School, The University of Pennsylvania, PA, USA.
Jeffrey S MorrisDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Christopher B ForrestApplied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID 0000-0003-1252-068X
Yong ChenDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0003-0835-0788
University of Pennsylvania · USChildren's Hospital of Philadelphia · USUniversity of Florida Health · USCornell University · USChildren's Hospital Colorado · USIndiana University School of MedicineLamar University · USLurie Children's Hospital · USNew York University · USSeattle Children's Hospital · USStanford Medicine · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
NCATS NIH HHS UL1 TR001878
6 · The paper itself

Abstract

Background: The efficacy of the BNT162b2 vaccine in pediatrics was assessed by randomized trials before the Omicron variant's emergence. The long-term durability of vaccine protection in this population during the Omicron period remains limited. Objective: To assess the effectiveness of BNT162b2 in preventing infection and severe diseases with various strains of the SARS-CoV-2 virus in previously uninfected children and adolescents. Design: Comparative effectiveness research accounting for underreported vaccination in three study cohorts: adolescents (12 to 20 years) during the Delta phase, children (5 to 11 years) and adolescents (12 to 20 years) during the Omicron phase. Setting: A national collaboration of pediatric health systems (PEDSnet). Participants: 77,392 adolescents (45,007 vaccinated) in the Delta phase, 111,539 children (50,398 vaccinated) and 56,080 adolescents (21,180 vaccinated) in the Omicron period. Exposures: First dose of the BNT162b2 vaccine vs. no receipt of COVID-19 vaccine. Measurements: Outcomes of interest include documented infection, COVID-19 illness severity, admission to an intensive care unit (ICU), and cardiac complications. The effectiveness was reported as (1-relative risk)*100% with confounders balanced via propensity score stratification. Results: During the Delta period, the estimated effectiveness of BNT162b2 vaccine was 98.4% (95% CI, 98.1 to 98.7) against documented infection among adolescents, with no significant waning after receipt of the first dose. An analysis of cardiac complications did not find an increased risk after vaccination. During the Omicron period, the effectiveness against documented infection among children was estimated to be 74.3% (95% CI, 72.2 to 76.2). Higher levels of effectiveness were observed against moderate or severe COVID-19 (75.5%, 95% CI, 69.0 to 81.0) and ICU admission with COVID-19 (84.9%, 95% CI, 64.8 to 93.5). Among adolescents, the effectiveness against documented Omicron infection was 85.5% (95% CI, 83.8 to 87.1), with 84.8% (95% CI, 77.3 to 89.9) against moderate or severe COVID-19, and 91.5% (95% CI, 69.5 to 97.6)) against ICU admission with COVID-19. The effectiveness of the BNT162b2 vaccine against the Omicron variant declined after 4 months following the first dose and then stabilized. The analysis revealed a lower risk of cardiac complications in the vaccinated group during the Omicron variant period. Limitations: Observational study design and potentially undocumented infection. Conclusions: Our study suggests that BNT162b2 was effective for various COVID-19-related outcomes in children and adolescents during the Delta and Omicron periods, and there is some evidence of waning effectiveness over time. Primary Funding Source: National Institutes of Health.

Identifiers

PMID38014095
PMCPMC10680874
OpenAlexW4381330522

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.