Evidence map›Paper›PMID 36244382›Full record

ArticleLancet (London, England)2022

Severe COVID-19 outcomes after full vaccination of primary schedule and initial boosters: pooled analysis of national prospective cohort studies of 30 million individuals in England, Northern Ireland, Scotland, and Wales.

Utkarsh Agrawal, Stuart Bedston, Colin McCowan, Jason Oke, Lynsey Patterson, Chris Robertson, Ashley Akbari, Amaya Azcoaga-Lorenzo, Declan T Bradley, Adeniyi Francis Fagbamigbe and 17 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Lancet (London, England), 2022. 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 134 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 5 pooled it
21.0field-weighted citation impact, top 1% 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

134 citing papers in PubMed, 5 syntheses or guidelines pooled it, 212 citations in OpenAlex.

  1. Pooled it
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  5. Molnupiravir for treatment of adults with mild or moderate COVID-19: a systematic review and meta-analysis of randomized controlled trials.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023
    Pooled it
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  8. Population-based evaluation of the effectiveness of nirmatrelvir-ritonavir for reducing hospital admissions and mortality from COVID-19.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Trial
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74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 8 institutions in 2 countries.

Utkarsh AgrawalSchool of Medicine, University of St Andrews, St Andrews, UK.
Stuart BedstonPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Colin McCowanSchool of Medicine, University of St Andrews, St Andrews, UK.
Jason OkeNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Lynsey PattersonCentre for Public Health, Queen's University Belfast, Belfast, UK.
Chris RobertsonDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK; Public Health Scotland, Glasgow, UK.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Amaya Azcoaga-LorenzoSchool of Medicine, University of St Andrews, St Andrews, UK.
Declan T BradleyCentre for Public Health, Queen's University Belfast, Belfast, UK; Public Health Agency, Belfast, UK.
Adeniyi Francis FagbamigbeSchool of Medicine, University of St Andrews, St Andrews, UK.
Zoe GrangePublic Health Scotland, Glasgow, UK.
Elliott C R HallPublic Health Scotland, Glasgow, UK.
Mark JoyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Srinivasa Vittal KatikireddiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Steven KerrUsher Institute, University of Edinburgh, Edinburgh, UK.
Lewis RitchieAcademic Primary Care, University of Aberdeen School of Medicine and Dentistry, Aberdeen, UK.
Siobhán MurphyCentre for Public Health, Queen's University Belfast, Belfast, UK.
Rhiannon K OwenPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Igor RudanCentre of Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK; Usher Institute, University of Edinburgh, Edinburgh, UK.
Syed Ahmar ShahUsher Institute, University of Edinburgh, Edinburgh, UK.
Colin R SimpsonUsher Institute, University of Edinburgh, Edinburgh, UK; Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
Fatemeh TorabiPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Ruby S M TsangNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK.
Dermot O'ReillyCentre for Public Health, Queen's University Belfast, Belfast, UK.
Aziz SheikhUsher Institute, University of Edinburgh, Edinburgh, UK. Electronic address: aziz.sheikh@ed.ac.uk.
Swansea University · GBUniversity of Edinburgh · GBQueen's University Belfast · GBUniversity of Oxford · GBUniversity of St Andrews · GBPublic Health Scotland · GBUniversity of Aberdeen · GBUniversity of Glasgow · GB

Funding

Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU17Medical Research Council MC_PC_19004Medical Research Council MC_PC_19075Medical Research Council MC_PC_20058Medical Research Council MC_PC_20060Medical Research Council MC_UU_00022/2Medical Research Council MR/R008345/1Medical Research Council MR/V028367/1Medical Research Council MR/W014386/1
6 · The paper itself

Abstract

backgroundCurrent UK vaccination policy is to offer future COVID-19 booster doses to individuals at high risk of serious illness from COVID-19, but it is still uncertain which groups of the population could benefit most. In response to an urgent request from the UK Joint Committee on Vaccination and Immunisation, we aimed to identify risk factors for severe COVID-19 outcomes (ie, COVID-19-related hospitalisation or death) in individuals who had completed their primary COVID-19 vaccination schedule and had received the first booster vaccine.

methodsWe constructed prospective cohorts across all four UK nations through linkages of primary care, RT-PCR testing, vaccination, hospitalisation, and mortality data on 30 million people. We included individuals who received primary vaccine doses of BNT162b2 (tozinameran; Pfizer-BioNTech) or ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines in our initial analyses. We then restricted analyses to those given a BNT162b2 or mRNA-1273 (elasomeran; Moderna) booster and had a severe COVID-19 outcome between Dec 20, 2021, and Feb 28, 2022 (when the omicron (B.1.1.529) variant was dominant). We fitted time-dependent Poisson regression models and calculated adjusted rate ratios (aRRs) and 95% CIs for the associations between risk factors and COVID-19-related hospitalisation or death. We adjusted for a range of potential covariates, including age, sex, comorbidities, and previous SARS-CoV-2 infection. Stratified analyses were conducted by vaccine type. We then did pooled analyses across UK nations using fixed-effect meta-analyses.

findingsBetween Dec 8, 2020, and Feb 28, 2022, 16 208 600 individuals completed their primary vaccine schedule and 13 836 390 individuals received a booster dose. Between Dec 20, 2021, and Feb 28, 2022, 59 510 (0·4%) of the primary vaccine group and 26 100 (0·2%) of those who received their booster had severe COVID-19 outcomes. The risk of severe COVID-19 outcomes reduced after receiving the booster (rate change: 8·8 events per 1000 person-years to 7·6 events per 1000 person-years). Older adults (≥80 years vs 18-49 years; aRR 3·60 [95% CI 3·45-3·75]), those with comorbidities (≥5 comorbidities vs none; 9·51 [9·07-9·97]), being male (male vs female; 1·23 [1·20-1·26]), and those with certain underlying health conditions-in particular, individuals receiving immunosuppressants (yes vs no; 5·80 [5·53-6·09])-and those with chronic kidney disease (stage 5 vs no; 3·71 [2·90-4·74]) remained at high risk despite the initial booster. Individuals with a history of COVID-19 infection were at reduced risk (infected ≥9 months before booster dose vs no previous infection; aRR 0·41 [95% CI 0·29-0·58]).

interpretationOlder people, those with multimorbidity, and those with specific underlying health conditions remain at increased risk of COVID-19 hospitalisation and death after the initial vaccine booster and should, therefore, be prioritised for additional boosters, including novel optimised versions, and the increasing array of COVID-19 therapeutics.

fundingNational Core Studies-Immunity, UK Research and Innovation (Medical Research Council), Health Data Research UK, the Scottish Government, and the University of Edinburgh.

Indexed as

COVID-19AgedBNT162 VaccineChAdOx1 nCoV-19COVID-19 VaccinesEnglandFemaleHumansImmunization, SecondaryImmunosuppressive AgentsMaleNorthern IrelandProspective StudiesSARS-CoV-2ScotlandVaccinationBNT162 VaccineChAdOx1 nCoV-19COVID-19 VaccinesImmunosuppressive Agents

Identifiers

PMID36244382
PMCPMC9560746
OpenAlexW4306150151

What OpenQuestion holds

Textmetadata
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.