Evidence map›Paper›PMID 37777159›Full record

Observational studyThe Journal of infection2023

SARS-CoV-2 infection following booster vaccination: Illness and symptom profile in a prospective, observational community-based case-control study.

Michela Antonelli, Rose S Penfold, Liane Dos Santos Canas, Carole Sudre, Khaled Rjoob, Ben Murray, Erika Molteni, Eric Kerfoot, Nathan Cheetham, Juan Capdevila Pujol and 8 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Journal of infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
5.8field-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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Michela AntonelliSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Rose S PenfoldAgeing and Health Research Group, Usher Institute, University of Edinburgh, Edinburgh, UK; Department of Twin Research and Genetic Epidemiology, King's College London, UK.
Liane Dos Santos CanasSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Carole SudreSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK; Centre for Medical Image Computing, University College London, London, UK.
Khaled RjoobCentre for Medical Image Computing, University College London, London, UK.
Ben MurraySchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Erika MolteniSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Eric KerfootSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Nathan CheethamDepartment of Twin Research and Genetic Epidemiology, King's College London, UK.
Juan Capdevila PujolZoe Global, London, UK.
Lorenzo PolidoriZoe Global, London, UK.
Anna MayZoe Global, London, UK.
Jonathan WolfZoe Global, London, UK.
Marc ModatSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Tim SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, UK.
Alexander HammersSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; King's College London & Guy's and St Thomas' PET Centre, UK.
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Claire StevesDepartment of Twin Research and Genetic Epidemiology, King's College London, UK; Department of Ageing and Health, Guys and St Thomas' NHS Foundation Trust, London, UK. Electronic address: Claire.j.steves@kcl.ac.uk.
King's College London · GBZOE (United Kingdom) · GBUniversity College London · GB

Funding

Department of Health COV-LT-0009Wellcome Trust 213038
6 · The paper itself

Abstract

backgroundBooster COVID-19 vaccines have shown efficacy in clinical trials and effectiveness in real-world data against symptomatic and severe illness. However, some people still become infected with SARS-CoV-2 following a third (booster) vaccination. This study describes the characteristics of SARS-CoV-2 illness following a third vaccination and assesses the risk of progression to symptomatic disease in SARS-CoV-2 infected individuals with time since vaccination.

methodsThis prospective, community-based, case-control study used data from UK-based, adult (≥18 years) users of the COVID Symptom Study mobile application, self-reporting a first positive COVID-19 test between June 1, 2021 and April 1, 2022. To describe the characteristics of SARS-CoV-2 illness following a third vaccination, we selected cases and controls who had received a third and second dose of monovalent vaccination against COVID-19, respectively, and reported a first positive SARS-CoV-2 test at least 7 days after most recent vaccination. Cases and controls were matched (1:1) based on age, sex, BMI, time between first vaccination and infection, and week of testing. We used logistic regression models (adjusted for age, sex, BMI, level of social deprivation and frailty) to analyse associations of disease severity, overall disease duration, and individual symptoms with booster vaccination status. To assess for potential waning of vaccine effectiveness, we compared disease severity, duration, and symptom profiles of individuals testing positive within 3 months of most recent vaccination (reference group) to profiles of individuals infected between 3 and 4, 4-5, and 5-6 months, for both third and second dose. All analyses were stratified by time period, based on the predominant SARS-CoV-2 variant at time of infection (Delta: June 1, 2021-27 Nov, 2021; Omicron: 20 Dec, 2021-Apr 1, 2022).

findingsDuring the study period, 50,162 (Delta period) and 162,041 (Omicron) participants reported a positive SARS-CoV-2 test. During the Delta period, infection following three vaccination doses was associated with lower odds of long COVID (symptoms≥ 4 weeks) (OR=0.83, CI[0.50-1.36], p < 0.0001), hospitalisation (OR=0.55, CI[0.39-0.75], p < 0.0001) and severe symptoms (OR=0.36, CI[0.27-0.49], p < 0.0001), and higher odds of asymptomatic infection (OR=3.45, CI[2.86-4.16], p < 0.0001), compared to infection following only two vaccination doses. During the Omicron period, infection following three vaccination doses was associated with lower odds of severe symptoms (OR=0.48, CI[0.42-0.55], p < 0.0001). During the Delta period, infected individuals were less likely to report almost all individual symptoms after a third vaccination. During the Omicron period, individuals were less likely to report most symptoms after a third vaccination, except for upper respiratory symptoms e.g. sneezing (OR=1.40, CI[1.18-1.35], p < 0.0001), runny nose (OR=1.26, CI[1.18-1.35], p < 0.0001), sore throat (OR=1.17, CI[1.10-1.25], p < 0.0001), and hoarse voice (OR=1.13, CI[1.06-1.21], p < 0.0001), which were more likely to be reported. There was evidence of reduced vaccine effectiveness during both Delta and Omicron periods in those infected more than 3 months after their most recent vaccination, with increased reporting of severe symptoms, long duration illness, and most individual symptoms.

interpretationThis study suggests that a third dose of monovalent vaccine may reduce symptoms, severity and duration of SARS-CoV-2 infection following vaccination. For Omicron variants, the third vaccination appears to reduce overall symptom burden but may increase upper respiratory symptoms, potentially due to immunological priming. There is evidence of waning vaccine effectiveness against progression to symptomatic and severe disease and long COVID after three months. Our findings support ongoing booster vaccination promotion amongst individuals at high risk from COVID-19, to reduce severe symptoms and duration of illness, and health system burden. Disseminating knowledge on expected symptoms following booster vaccination may encourage vaccine uptake.

Indexed as

COVID-19AdultCase-Control StudiesCOVID-19 VaccinesFemaleHumansMalePost-Acute COVID-19 SyndromeProspective StudiesSARS-CoV-2VaccinationCOVID-19 VaccinesBooster vaccinationBreak-through infectionCOVID-19Disease severityHospitalisationInfectionLong COVIDOmicronVaccination

Identifiers

PMID37777159
PMCPMC7618294
OpenAlexW4387143003

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.