Evidence map›Paper›PMID 35165107›Full record

ArticleBMJ open2022

Investigating the uptake, effectiveness and safety of COVID-19 vaccines: protocol for an observational study using linked UK national data.

Eleftheria Vasileiou, Ting Shi, Steven Kerr, Chris Robertson, Mark Joy, Ruby Tsang, Dylan McGagh, John Williams, Richard Hobbs, Simon de Lusignan and 28 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  8. Data resource profile: COVid VAXines effects on the aged (COVVAXAGE).International journal of population data science · 2023
    Article
  9. Article
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

38 authors at 11 institutions in 2 countries.

Eleftheria VasileiouThe University of Edinburgh, Usher Institute, Edinburgh, UK eleftheria.vasileiou@ed.ac.uk.ORCID 0000-0001-6850-7578
Ting ShiThe University of Edinburgh, Usher Institute, Edinburgh, UK.ORCID 0000-0002-4101-4535
Steven KerrThe University of Edinburgh, Usher Institute, Edinburgh, UK.
Chris RobertsonDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
Mark JoyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ruby TsangNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-2520-526X
Dylan McGaghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
John WilliamsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Richard HobbsNuffield 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.ORCID 0000-0001-5613-6810
Declan BradleySchool of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
Dermot OReillySchool of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
Siobhan MurphySchool of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
Antony ChuterBREATHE - The Health Data Research Hub for Respiratory Health, London, UK.
Jillian BeggsBREATHE - The Health Data Research Hub for Respiratory Health, London, UK.
David FordPopulation Data Science, Swansea University Medical School, Swansea, UK.
Chris OrtonPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0002-9561-2493
Ashley AkbariPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0003-0814-0801
Stuart BedstonPopulation Data Science, Swansea University Medical School, Swansea, UK.
Gareth DaviesPopulation Data Science, Swansea University Medical School, Swansea, UK.
Lucy J GriffithsPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0001-9230-624X
Rowena GriffithsPopulation Data Science, Swansea University Medical School, Swansea, UK.
Emily LowthianPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0001-9362-0046
Jane LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0002-4407-770X
Ronan A LyonsPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID 0000-0001-5225-000X
Laura NorthPopulation Data Science, Swansea University Medical School, Swansea, UK.
Malorie PerryVaccine Preventable Disease Programme, Public Health Wales, Cardiff, UK.
Fatemeh TorabiPopulation Data Science, Swansea University Medical School, Swansea, UK.
James PickettHealth Data Research, London, UK.
Jim McMenaminPublic Health Scotland, Glasgow, UK.
Colin McCowanSchool of Medicine, University of St Andrews, St Andrews, UK.
Utkarsh AgrawalSchool of Medicine, University of St Andrews, St Andrews, UK.
Rachael WoodThe University of Edinburgh, Usher Institute, Edinburgh, UK.ORCID 0000-0003-4453-623X
Sarah Jane StockThe University of Edinburgh, Usher Institute, Edinburgh, UK.ORCID 0000-0003-4308-856X
Emily MoorePublic Health Scotland, Glasgow, UK.
Paul HeneryMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID 0000-0003-0380-738X
Colin R SimpsonThe University of Edinburgh, Usher Institute, Edinburgh, UK.
Aziz SheikhThe University of Edinburgh, Usher Institute, Edinburgh, UK.ORCID 0000-0001-7022-3056
Swansea University · GBUniversity of Oxford · GBPublic Health Scotland · GBUniversity of Edinburgh · GBHealth Data Research UK · GBQueen's University Belfast · GBUniversity of St Andrews · GBMRC/CSO Social and Public Health Sciences Unit · GBPublic Health Wales · GBUniversity of Strathclyde · GBVictoria University of Wellington · NZ

Funding

Medical Research Council MC_PC_19004Medical Research Council MC_PC_19075Medical Research Council MC_PC_20058Medical Research Council MR/V028367/1
6 · The paper itself

Abstract

introductionThe novel coronavirus SARS-CoV-2, which emerged in December 2019, has caused millions of deaths and severe illness worldwide. Numerous vaccines are currently under development of which a few have now been authorised for population-level administration by several countries. As of 20 September 2021, over 48 million people have received their first vaccine dose and over 44 million people have received their second vaccine dose across the UK. We aim to assess the uptake rates, effectiveness, and safety of all currently approved COVID-19 vaccines in the UK. METHODS AND ANALYSIS: We will use prospective cohort study designs to assess vaccine uptake, effectiveness and safety against clinical outcomes and deaths. Test-negative case-control study design will be used to assess vaccine effectiveness (VE) against laboratory confirmed SARS-CoV-2 infection. Self-controlled case series and retrospective cohort study designs will be carried out to assess vaccine safety against mild-to-moderate and severe adverse events, respectively. Individual-level pseudonymised data from primary care, secondary care, laboratory test and death records will be linked and analysed in secure research environments in each UK nation. Univariate and multivariate logistic regression models will be carried out to estimate vaccine uptake levels in relation to various population characteristics. VE estimates against laboratory confirmed SARS-CoV-2 infection will be generated using a generalised additive logistic model. Time-dependent Cox models will be used to estimate the VE against clinical outcomes and deaths. The safety of the vaccines will be assessed using logistic regression models with an offset for the length of the risk period. Where possible, data will be meta-analysed across the UK nations. ETHICS AND DISSEMINATION: We obtained approvals from the National Research Ethics Service Committee, Southeast Scotland 02 (12/SS/0201), the Secure Anonymised Information Linkage independent Information Governance Review Panel project number 0911. Concerning English data, University of Oxford is compliant with the General Data Protection Regulation and the National Health Service (NHS) Digital Data Security and Protection Policy. This is an approved study (Integrated Research Application ID 301740, Health Research Authority (HRA) Research Ethics Committee 21/HRA/2786). The Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub meets NHS Digital's Data Security and Protection Toolkit requirements. In Northern Ireland, the project was approved by the Honest Broker Governance Board, project number 0064. Findings will be made available to national policy-makers, presented at conferences and published in peer-reviewed journals.

Indexed as

COVID-19COVID-19 VaccinesCase-Control StudiesHumansObservational Studies as TopicProspective StudiesRetrospective StudiesSARS-CoV-2ScotlandState MedicineCOVID-19 VaccinesCOVID-19epidemiologypublic healthrespiratory infections

Identifiers

PMID35165107
PMCPMC8844955
OpenAlexW4212851080

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.