Evidence map›Paper›PMID 37487623›Full record

ArticleBMJ (Clinical research ed.)2023

Comparative effectiveness of heterologous third dose vaccine schedules against severe covid-19 during omicron predominance in Nordic countries: population based cohort analyses.

Niklas Worm Andersson, Emilia Myrup Thiesson, Ulrike Baum, Nicklas Pihlström, Jostein Starrfelt, Kristýna Faksová, Eero Poukka, Lars Christian Lund, Christian Holm Hansen, Mia Aakjær and 8 more

Open access · greenAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. COVID-19: On the threshold of the fifth year. The situation in Spain.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 9 institutions in 5 countries.

Niklas Worm AnderssonDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark nian@ssi.dk.ORCID 0000-0001-7622-6303
Emilia Myrup ThiessonDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Ulrike BaumInfectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Nicklas PihlströmDivision of Licensing, Swedish Medical Products Agency, Uppsala, Sweden.
Jostein StarrfeltDepartment of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
Kristýna FaksováDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Eero PoukkaInfectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Lars Christian LundClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
Christian Holm HansenDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Mia AakjærPharmacovigilance Research Center, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
Jesper KjærData Analytics Center, Danish Medicines Agency, Copenhagen, Denmark.
Catherine CohetEuropean Medicines Agency, Amsterdam, Netherlands.
Mathijs GoossensEuropean Medicines Agency, Amsterdam, Netherlands.
Morten AndersenPharmacovigilance Research Center, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
Jesper HallasClinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
Hinta MeijerinkDepartment of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
Rickard LjungDivision of Use and Information, Swedish Medical Products Agency, Uppsala, Sweden.
Anders HviidDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Statens Serum Institut · DKEuropean Medicines Agency · NLMedical Products Agency · SENorwegian Institute of Public Health · NOUniversity of Copenhagen · DKUniversity of Southern Denmark · DKDanish Medicines Agency · DKFinnish Institute for Health and Welfare · FIUniversity of Helsinki · FI

Funding

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

Abstract

objectiveTo investigate the comparative vaccine effectiveness of heterologous booster schedules (ie, three vaccine doses) compared with primary schedules (two vaccine doses) and with homologous mRNA vaccine booster schedules (three vaccine doses) during a period of omicron predominance.

designPopulation based cohort analyses.

settingDenmark, Finland, Norway, and Sweden, 27 December 2020 to 31 December 2022.

participantsAll adults aged ≥18 years who had received at least a primary vaccination schedule of AZD1222 (Oxford-AstraZeneca) or monovalent SARS-CoV-2 wild type (ancestral) strain based mRNA vaccines BNT162b2 (Pfizer-BioNTech) or mRNA-1273 (Moderna), in any combination.

main outcome measuresThe main outcome measure was country combined risks of covid-19 related hospital admission and death with covid-19 and additional outcomes of covid-19 related admission to an intensive care unit and SARS-CoV-2 infection. During a period of omicron predominance, these outcomes were compared in those who received a heterologous booster versus primary schedule (matched analyses) and versus those who received a homologous mRNA vaccine booster (weighted analyses). Follow-up was for 75 days from day 14 after the booster dose; comparative vaccine effectiveness was calculated as 1-risk ratio.

resultsAcross the four Nordic countries, 1 086 418 participants had received a heterologous booster schedule of AZD1222+BNT162b2 or mRNA-1273 and 2 505 093 had received a heterologous booster schedule of BNT162b2+mRNA-1273. Compared with the primary schedule only (two doses), the vaccine effectiveness of heterologous booster schedules comprising AZD1222+BNT162b2 or mRNA-1273 and BNT162b2+mRNA-1273 was 82.7% (95% confidence interval 77.1% to 88.2%) and 81.5% (78.9% to 84.2%) for covid-19 related hospital admission and 95.9% (91.6% to 100.0%) and 87.5% (82.5% to 92.6%) for death with covid-19, respectively. Homologous mRNA booster schedules were similarly associated with increased protection against covid-19 related hospital admission (≥76.5%) and death with covid-19 (≥84.1%) compared with previous primary course vaccination only. When a heterologous booster schedule was compared with the homologous booster schedule, vaccine effectiveness was 27.2% (3.7% to 50.6%) for AZD1222+BNT162b2 or mRNA-1273 and 23.3% (15.8% to 30.8%) for BNT162b2+mRNA-1273 schedules against covid-19 related hospital admission and 21.7% (-8.3% to 51.7%) and 18.4% (-15.7% to 52.5%) against death with covid-19, respectively.

conclusionHeterologous booster schedules are associated with increased protection against severe, omicron related covid-19 outcomes compared with primary course schedules and homologous booster schedules.

Indexed as

COVID-19Vaccines2019-nCoV Vaccine mRNA-1273AdolescentAdultBNT162 VaccineChAdOx1 nCoV-19HumansSARS-CoV-2Scandinavian and Nordic Countries2019-nCoV Vaccine mRNA-1273BNT162 VaccineChAdOx1 nCoV-19Vaccines

Identifiers

PMID37487623
PMCPMC10360027
OpenAlexW4385217109

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.