Evidence map›Paper›PMID 36446653›Full record

ArticleVaccine2023

Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study.

C Willame, C Dodd, C E Durán, Rjhj Elbers, R Gini, C Bartolini, O Paoletti, L Wang, V Ehrenstein, J Kahlert and 24 more

Abstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

34 authors.

C WillameDepartment of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands. Electronic address: c.willame@umcutrecht.nl.
C DoddDepartment of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands. Electronic address: caitlinndodd@gmail.com.
C E DuránDepartment of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands. Electronic address: c.e.duransalinas@umcutrecht.nl.
Rjhj ElbersDepartment of Data science & Biostatistic, Data manegement, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands. Electronic address: r.j.h.elbers@umcutrecht.nl.
R GiniAgenzia regionale di sanità della Toscana, via Pietro Dazzi 1, 55100 Florence, Italy. Electronic address: rosa.gini@ars.toscana.it.
C BartoliniAgenzia regionale di sanità della Toscana, via Pietro Dazzi 1, 55100 Florence, Italy. Electronic address: claudia.bartolini@ars.toscana.it.
O PaolettiAgenzia regionale di sanità della Toscana, via Pietro Dazzi 1, 55100 Florence, Italy. Electronic address: olga.paoletti@ars.toscana.it.
L WangDepartment of Clinical Epidemiology, Aarhus University Hospital, Denmark. Electronic address: lei.wang@clin.au.dk.
V EhrensteinDepartment of Clinical Epidemiology, Aarhus University Hospital, Denmark. Electronic address: ve@clin.au.dk.
J KahlertDepartment of Clinical Epidemiology, Aarhus University Hospital, Denmark. Electronic address: jok@clin.au.dk.
U HaugDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Faculty of Human and Health Sciences, University of Bremen, Germany. Electronic address: haug@leibniz-bips.de.
T SchinkDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, 28359 Bremen, Germany. Electronic address: schink@leibniz-bips.de.
J Diez-DomingoVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain. Electronic address: Javier.Diez@fisabio.es.
A Mira-IglesiasVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain. Electronic address: Ainara.Mira@fisabio.es.
J J CarrerasVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain. Electronic address: Juanjo.Carreras@fisabio.es.
C Vergara-HernándezVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain. Electronic address: Vergara_car@gva.es.
C GiaquintoDivision of Paediatric Infectious Diseases, Department of Women's and Children's Health, University of Padova, Padova, Italy. Electronic address: carlo.giaquinto@unipd.it.
E BarbieriDivision of Paediatric Infectious Diseases, Department of Women's and Children's Health, University of Padova, Padova, Italy. Electronic address: elisa.barbieri@unipd.it.
L StonaFondazione Penta ONLUS, Corso Stati Uniti 4, 35127 Padova, Italy. Electronic address: luca.stona@pentafoundation.org.
C HuertaDepartment of Public Health and Maternal and Child Health, Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain. Electronic address: mahuer05@ucm.es.
M Martín-PérezPharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain. Electronic address: mmmartinp@aemps.es.
P García-PozaPharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain. Electronic address: pgarciap@aemps.es.
A de BurgosPharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain. Electronic address: aburgos_externo@aemps.es.
M Martínez-GonzálezPharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain. Electronic address: mmartinezgon@aemps.es.
V BryantPharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain. Electronic address: veronica.bryant@gmail.com.
F VillalobosUnitat de Suport a la Recerca Tarragona-Reus, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 43202 Reus, Spain. Electronic address: fvillalobos@idiapjgol.info.
M Pallejà-MillánUnitat de Suport a la Recerca Tarragona-Reus, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 43202 Reus, Spain. Electronic address: mpalleja@idiapjgol.info.
M AragónFundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain. Electronic address: maragon@idiapjgol.info.
J J CarrerasVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain. Electronic address: Juanjo.Carreras@fisabio.es.
P SouvereinDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, PO BOX 80082, 3508 TB Utrecht, the Netherlands. Electronic address: P.C.Souverein@uu.nl.
N H ThurinINSERM CIC-P1401, Bordeaux PharmacoEpi, Univ. Bordeaux, 146 rue Léo Saignat, 33076 Bordeaux cedex, France. Electronic address: nicolas.thurin@u-bordeaux.fr.
D WeibelDepartment of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands. Electronic address: d.m.weibel@umcutrecht.nl.
O H KlungelDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, PO BOX 80082, 3508 TB Utrecht, the Netherlands. Electronic address: o.h.klungel@uu.nl.
McJm SturkenboomDepartment of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands. Electronic address: M.c.j.sturkenboom@umcutrecht.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn May 2020, the ACCESS (The vACCine covid-19 monitoring readinESS) project was launched to prepare real-world monitoring of COVID-19 vaccines. Within this project, this study aimed to generate background incidence rates of 41 adverse events of special interest (AESI) to contextualize potential safety signals detected following administration of COVID-19 vaccines.

methodsA dynamic cohort study was conducted using a distributed data network of 10 healthcare databases from 7 European countries (Italy, Spain, Denmark, The Netherlands, Germany, France and United Kingdom) over the period 2017 to 2020. A common protocol (EUPAS37273), common data model, and common analytics programs were applied for syntactic, semantic and analytical harmonization. Incidence rates (IR) for each AESI and each database were calculated by age and sex by dividing the number of incident cases by the total person-time at risk. Age-standardized rates were pooled using random effect models according to the provenance of the events.

findingsA total number of 63,456,074 individuals were included in the study, contributing to 211.7 million person-years. A clear age pattern was observed for most AESIs, rates also varied by provenance of disease diagnosis (primary care, specialist care). Thrombosis with thrombocytopenia rates were extremely low ranging from 0.06 to 4.53/100,000 person-years for cerebral venous sinus thrombosis (CVST) with thrombocytopenia (TP) and mixed venous and arterial thrombosis with TP, respectively.

interpretationGiven the nature of the AESIs and the setting (general practitioners or hospital-based databases or both), background rates from databases that show the highest level of completeness (primary care and specialist care) should be preferred, others can be used for sensitivity. The study was designed to ensure representativeness to the European population and generalizability of the background incidence rates.

fundingThe project has received support from the European Medicines Agency under the Framework service contract nr EMA/2018/28/PE.

Indexed as

COVID-19COVID-19 VaccinesThrombocytopeniaCohort StudiesDelivery of Health CareEuropean PeopleHumansCOVID-19 VaccinesAdverse events of special interestBackground ratesCOVID-19Vaccine safety

Identifiers

PMID36446653
PMCPMC9678835

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Registered trials

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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.