Evidence map›Paper›PMID 36048766›Full record

ArticlePLoS medicine2022

Vaccine effectiveness against SARS-CoV-2 infection or COVID-19 hospitalization with the Alpha, Delta, or Omicron SARS-CoV-2 variant: A nationwide Danish cohort study.

Mie Agermose Gram, Hanne-Dorthe Emborg, Astrid Blicher Schelde, Nikolaj Ulrik Friis, Katrine Finderup Nielsen, Ida Rask Moustsen-Helms, Rebecca Legarth, Janni Uyen Hoa Lam, Manon Chaine, Aisha Zahoor Malik and 7 more

Abstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 7 pooled it
–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

96 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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36 more citing papers are in PubMed but not listed here.

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

17 authors.

Mie Agermose GramDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0001-7908-0039
Hanne-Dorthe EmborgDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0001-8062-0864
Astrid Blicher ScheldeDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-9187-7822
Nikolaj Ulrik FriisDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-2242-6235
Katrine Finderup NielsenDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0001-8847-9850
Ida Rask Moustsen-HelmsDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Rebecca LegarthDivision of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Janni Uyen Hoa LamDivision of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Manon ChaineDivision of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Aisha Zahoor MalikDivision of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Morten RasmussenDepartment of Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0001-7491-4137
Jannik FonagerDepartment of Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-1688-1482
Raphael Niklaus SieberDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-0372-128X
Marc SteggerDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-0321-1180
Steen EthelbergDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-9709-356X
Palle Valentiner-BranthDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Christian Holm HansenDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-5949-0097

Funding

Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundThe continued occurrence of more contagious Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants and waning immunity over time require ongoing reevaluation of the vaccine effectiveness (VE). This study aimed to estimate the effectiveness in 2 age groups (12 to 59 and 60 years or above) of 2 or 3 vaccine doses (BNT162b2 mRNA or mRNA-1273) by time since vaccination against SARS-CoV-2 infection and Coronavirus Disease 2019 (COVID-19) hospitalization in an Alpha-, Delta-, or Omicron-dominated period. METHODS AND

findingsA Danish nationwide cohort study design was used to estimate VE against SARS-CoV-2 infection and COVID-19 hospitalization with the Alpha, Delta, or Omicron variant. Information was obtained from nationwide registries and linked using a unique personal identification number. The study included all previously uninfected residents in Denmark aged 12 years or above (18 years or above for the analysis of 3 doses) in the Alpha (February 20 to June 15, 2021), Delta (July 4 to November 20, 2021), and Omicron (December 21, 2021 to January 31, 2022) dominated periods. VE estimates including 95% confidence intervals (CIs) were calculated (1-hazard ratio∙100) using Cox proportional hazard regression models with underlying calendar time and adjustments for age, sex, comorbidity, and geographical region. Vaccination status was included as a time-varying exposure. In the oldest age group, VE against infection after 2 doses was 90.7% (95% CI: 88.2; 92.7) for the Alpha variant, 82.3% (95% CI: 75.5; 87.2) for the Delta variant, and 39.9% (95% CI: 26.3; 50.9) for the Omicron variant 14 to 30 days since vaccination. The VE waned over time and was 73.2% (Alpha, 95% CI: 57.1; 83.3), 50.0% (Delta, 95% CI: 46.7; 53.0), and 4.4% (Omicron, 95% CI: -0.1; 8.7) >120 days since vaccination. Higher estimates were observed after the third dose with VE estimates against infection of 86.1% (Delta, 95% CI: 83.3; 88.4) and 57.7% (Omicron, 95% CI: 55.9; 59.5) 14 to 30 days since vaccination. Among both age groups, VE against COVID-19 hospitalization 14 to 30 days since vaccination with 2 or 3 doses was 98.1% or above for the Alpha and Delta variants. Among both age groups, VE against COVID-19 hospitalization 14 to 30 days since vaccination with 2 or 3 doses was 95.5% or above for the Omicron variant. The main limitation of this study is the nonrandomized study design including potential differences between the unvaccinated (reference group) and vaccinated individuals.

conclusionsTwo vaccine doses provided high protection against SARS-CoV-2 infection and COVID-19 hospitalization with the Alpha and Delta variants with protection, notably against infection, waning over time. Two vaccine doses provided only limited and short-lived protection against SARS-CoV-2 infection with Omicron. However, the protection against COVID-19 hospitalization following Omicron SARS-CoV-2 infection was higher. The third vaccine dose substantially increased the level and duration of protection against infection with the Omicron variant and provided a high level of sustained protection against COVID-19 hospitalization among the +60-year-olds.

Indexed as

COVID-19Viral VaccinesBNT162 VaccineCohort StudiesDenmarkHospitalizationHumansSARS-CoV-2Vaccine EfficacyBNT162 VaccineViral Vaccines

Identifiers

PMID36048766
PMCPMC9436060

What OpenQuestion holds

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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.