Evidence map›Paper›PMID 38162515›Full record

ArticleThe Lancet regional health. Europe2024

Risk of severe COVID-19 outcomes after autumn 2022 COVID-19 booster vaccinations: a pooled analysis of national prospective cohort studies involving 7.4 million adults in England, Northern Ireland, Scotland and Wales.

Stuart Bedston, Fatima Almaghrabi, Lynsey Patterson, Utkarsh Agrawal, Lana Woolford, Sneha N Anand, Mark Joy, Anna Crawford, Rosalind Goudie, Rachel Byford and 12 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

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  7. COVID-19 vaccination status and factors associated with deaths from the disease, Vitória, 2020-2023: cross-sectional study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
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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

22 authors at 7 institutions in 1 country.

Stuart BedstonPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Fatima AlmaghrabiUsher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, UK.
Lynsey PattersonCentre for Public Health, Queen's University Belfast, Belfast, UK.
Utkarsh AgrawalNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Lana WoolfordUsher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, UK.
Sneha N AnandNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Mark JoyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Anna CrawfordUsher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, UK.
Rosalind GoudieNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Rachel ByfordNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Hoda AbbasizanjaniPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Deb SmithUsher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, UK.
Lynn LaidlawUsher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, UK.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Christopher SullivanPublic Health Scotland, Glasgow, Scotland, UK.
Declan T BradleyCentre for Public Health, Queen's University Belfast, Belfast, UK.
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
F D Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Chris RobertsonDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, Scotland, UK.
Sir Aziz SheikhUsher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, UK.
Ting ShiUsher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, Scotland, UK.
University of Oxford · GBUniversity of Edinburgh · GBSwansea University · GBQueen's University Belfast · GBPublic Health Scotland · GBThe Queen's Medical Research Institute · GBUniversity of Strathclyde · GB

Funding

Medical Research Council MC_PC_19004Medical Research Council MC_PC_19075Medical Research Council MC_PC_20060Medical Research Council MC_UU_00022/2Medical Research Council MR/V028367/1
6 · The paper itself

Abstract

Background: UK COVID-19 vaccination policy has evolved to offering COVID-19 booster doses to individuals at increased risk of severe Illness from COVID-19. Building on our analyses of vaccine effectiveness of first, second and initial booster doses, we aimed to identify individuals at increased risk of severe outcomes (i.e., COVID-19 related hospitalisation or death) post the autumn 2022 booster dose. Methods: We undertook a national population-based cohort analysis across all four UK nations through linked primary care, vaccination, hospitalisation and mortality data. We included individuals who received autumn 2022 booster doses of BNT162b2 (Comirnaty) or mRNA-1273 (Spikevax) during the period September 1, 2022 to December 31, 2022 to investigate the risk of severe COVID-19 outcomes. Cox proportional hazard models were used to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CIs) for the association between demographic and clinical factors and severe COVID-19 outcomes after the autumn booster dose. Analyses were adjusted for age, sex, body mass index (BMI), deprivation, urban/rural areas and comorbidities. Stratified analyses were conducted by vaccine type. We then conducted a fixed-effect meta-analysis to combine results across the four UK nations. Findings: Between September 1, 2022 and December 31, 2022, 7,451,890 individuals ≥18 years received an autumn booster dose. 3500 had severe COVID-19 outcomes (2.9 events per 1000 person-years). Being male (male vs female, aHR 1.41 (1.32-1.51)), older adults (≥80 years vs 18-49 years; 10.43 (8.06-13.50)), underweight (BMI <18.5 vs BMI 25.0-29.9; 2.94 (2.51-3.44)), those with comorbidities (≥5 comorbidities vs none; 9.45 (8.15-10.96)) had a higher risk of COVID-19 hospitalisation or death after the autumn booster dose. Those with a larger household size (≥11 people within household vs 2 people; 1.56 (1.23-1.98)) and from more deprived areas (most deprived vs least deprived quintile; 1.35 (1.21-1.51)) had modestly higher risks. We also observed at least a two-fold increase in risk for those with various chronic neurological conditions, including Down's syndrome, immunodeficiency, chronic kidney disease, cancer, chronic respiratory disease, or cardiovascular disease. Interpretation: Males, older individuals, underweight individuals, those with an increasing number of comorbidities, from a larger household or more deprived areas, and those with specific underlying health conditions remained at increased risk of COVID-19 hospitalisation and death after the autumn 2022 vaccine booster dose. There is now a need to focus on these risk groups for investigating immunogenicity and efficacy of further booster doses or therapeutics. Funding: National Core Studies-Immunity, UK Research and Innovation (Medical Research Council and Economic and Social Research Council), Health Data Research UK, the Scottish Government, and the University of Edinburgh.

Indexed as

Booster doseCOVID-19Hospital admissionVaccineVaccine breakthrough

Identifiers

PMID38162515
PMCPMC10757260
OpenAlexW4389636859

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.