Evidence map›Paper›PMID 41890771›Full record

ArticleClinical epidemiology2026

Harmonizing Case Validation for Vaccine Safety in Real-World Data: The VAC4EU Experience.

Amirreza Dehghan Tarazjani, Daniel Weibel, Taylor Aurelius, Laura C Zwiers, Jesse M Van den Berg, Lina Pérez-Breva, Antonio Gimeno-Miguel, Luca Stona, Martín Solórzano, Anteneh Assefa Desalegn and 13 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Amirreza Dehghan TarazjaniDepartment of Data Science and Biostatistics, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
Daniel WeibelDepartment of Data Science and Biostatistics, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
Taylor AureliusDrug Safety Research Unit (DSRU), Southampton, UK.ORCID 0000-0001-5925-1910
Laura C ZwiersJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Jesse M Van den BergPHARMO Institute for Drug Outcomes Research, Utrecht, The Netherlands.ORCID 0000-0003-3270-6641
Lina Pérez-BrevaVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Valencia, 46020, Spain.
Antonio Gimeno-MiguelResearch Network on Chronicity, Primary Care, and Health Promotion (RICAPPS), Institute of Health Carlos III (ISCIII), Madrid, 28029, Spain.ORCID 0000-0002-5440-1710
Luca StonaFondazione Penta ETS, Padua, Italy.
Martín SolórzanoDepartment of Data Science and Biostatistics, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
Anteneh Assefa DesalegnPharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0002-4345-9861
Beatriz Poblador-PlouResearch Network on Chronicity, Primary Care, and Health Promotion (RICAPPS), Institute of Health Carlos III (ISCIII), Madrid, 28029, Spain.ORCID 0000-0002-5119-5093
Thom S LysenPHARMO Institute for Drug Outcomes Research, Utrecht, The Netherlands.
Jannik WhelerDepartment of Clinical Epidemiology, Center for Population Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-1447-0313
Mahmoud ZidanPharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
Juan José CarrerasVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Valencia, 46020, Spain.
Felipe VillalobosFundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.ORCID 0000-0002-6907-8354
Vera EhrensteinDepartment of Clinical Epidemiology, Center for Population Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Kathryn MortonDrug Safety Research Unit (DSRU), Southampton, UK.
Cristina RebordosaDepartment of Epidemiology and Risk Management, RTI Health Solutions, Barcelona, Spain.
Fariba AhmadizarDepartment of Data Science and Biostatistics, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
Joan FortunyDepartment of Epidemiology and Risk Management, RTI Health Solutions, Barcelona, Spain.
Alejandro AranaDepartment of Epidemiology and Risk Management, RTI Health Solutions, Barcelona, Spain.ORCID 0000-0002-1593-3124
Miriam SturkenboomDepartment of Data Science and Biostatistics, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-1360-2388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Applying standardized Brighton Collaboration (BC) case definitions retrospectively to heterogeneous real-world data (RWD) is challenging due to inconsistent clinical detail and data structures across settings. To address this, the Vaccine Monitoring Collaboration for Europe (VAC4EU) developed a structured validation pipeline that operationalizes BC case definitions for vaccine safety outcomes in RWD in a harmonized, scalable, and reusable manner. Methods: VAC4EU developed a systematic, stepwise approach to validate vaccine safety outcomes. BC case definitions were utilized when available, adapted for RWD as needed, and newly developed for outcomes without an existing BC definition. The approach involves: 1) Critical review and adaptation of BC definition by clinical and RWD experts; 2) Creation of dummy cases based on published reports; 3) Creation of REDCap electronic data collection forms (eDCF) incorporating decision logic to assigned levels of certainty (LOC); 4) Iterative testing of decision logic; and 5) comprehensive training of abstractors with real-time feedback. A dedicated task force assigned reference LOCs for dummy cases. Inter-rater reliability was measured using Fleiss' kappa (κ) by comparing abstractor LOCs to the reference standard. Results: The pipeline was applied to 16 COVID-19 vaccine safety outcomes, of which 13 had existing BC definition. In total, 78 dummy case descriptions were developed across the outcomes for training of abstractors, and 15 REDCap eDCFs were created. Myocarditis and pericarditis shared an eDCF. Across 33 abstractors, 747 dummy case abstractions were completed. Agreement analysis showed 93 discrepancies (12.4%) and moderate overall concordance (κ = 0.55, across all outcomes), with the lowest for thrombosis with thrombocytopenia syndrome (κ = -0.05). Conclusion: The VAC4EU validation pipeline provides a standardized framework for training and validating vaccine safety outcome in RWD. By adapting BC case definitions and dedicated training of abstractors, we will reduce variability in outcome validation in post-authorization safety studies.

Indexed as

Brighton collaborationreal-world datavaccine safetyvalidation

Identifiers

PMID41890771
PMCPMC13015960

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.