Evidence map›Paper›PMID 35092329›Full record

ArticlePharmacoepidemiology and drug safety2022

Overview of the European post-authorisation study register post-authorization studies performed in Europe from September 2010 to December 2018.

Janet Sultana, Salvatore Crisafulli, Mariana Almas, Ippazio Cosimo Antonazzo, Esme Baan, Claudia Bartolini, Maria Paola Bertuccio, Fedele Bonifazi, Annalisa Capuano, Antonella Didio and 29 more

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

39 authors.

Janet SultanaPharmacy Department, Mater Dei Hospital, Msida, Malta.
Salvatore CrisafulliDepartment of Medicine, University of Verona, Verona, Italy.
Mariana AlmasReal World Solutions Department, IQVIA, Lisbon, Portugal.
Ippazio Cosimo AntonazzoResearch Centre on Public Health (CESP), University of Milan-Bicocca, Milan, Italy.
Esme BaanDepartment of Medical Informatics, Erasmus Medical Centre, Rotterdam, The Netherlands.
Claudia BartoliniAgenzia Regionale di Sanità della Toscana, Florence, Italy.
Maria Paola BertuccioDepartment of Medicine, University of Verona, Verona, Italy.
Fedele BonifaziTEDDY European Network of Excellence for Paediatric Clinical Research, Pavia, Italy.
Annalisa CapuanoDepartment of Experimental Medicine, University of Campania "Vanvitelli", Naples, Italy.
Antonella DidioTEDDY European Network of Excellence for Paediatric Clinical Research, Pavia, Italy.
Vera EhrensteinDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-3415-3254
Mariagrazia FelisiTEDDY European Network of Excellence for Paediatric Clinical Research, Pavia, Italy.
Carmen FerrajoloDepartment of Experimental Medicine, University of Campania "Vanvitelli", Naples, Italy.
Andrea FontanaUnit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Remy FranciscaDepartment of Medical Informatics, Erasmus Medical Centre, Rotterdam, The Netherlands.
Annie Fourrier-ReglatUniv. Bordeaux, INSERM, Bordeaux Population Health Research Center, Team of Pharmacoepidemiology, UMR 1219, Bordeaux, France.
Joan FortunyRTI Health Solutions, Barcelona, Spain.
Rosa GiniAgenzia Regionale di Sanità della Toscana, Florence, Italy.ORCID 0000-0002-6250-877X
Giulia HyeraciAgenzia Regionale di Sanità della Toscana, Florence, Italy.
Christel HoeveDepartment of Medical Informatics, Erasmus Medical Centre, Rotterdam, The Netherlands.
Christos KontogiorgisDemocritus University of Thrace, Alexandroupolis, Greece.ORCID 0000-0001-7835-8246
Valentina IsgròDepartment of Diagnostics and Public Health, University of Verona, Verona, Italy.
Panagiotis-Nikolaos LalagkasDemocritus University of Thrace, Alexandroupolis, Greece.
Luca L'AbbateDepartment of Diagnostics and Public Health, University of Verona, Verona, Italy.
Deborah LaytonData Science Hub, Real World Solutions, IQVIA, London, UK.
Annalisa LandiTEDDY European Network of Excellence for Paediatric Clinical Research, Pavia, Italy.
Silvia NarduzziData Science Hub, Real World Solutions, IQVIA, London, UK.
Leonardo Roque PereiraDepartment of Datascience & Biostatistics, University Medical Center Utrecht, Utrecht, The Netherlands.
Georgios PoulentzasDemocritus University of Thrace, Alexandroupolis, Greece.
Concetta RafanielloDepartment of Experimental Medicine, University of Campania "Vanvitelli", Naples, Italy.
Giuseppe RobertoAgenzia Regionale di Sanità della Toscana, Florence, Italy.ORCID 0000-0001-6478-6442
Giulia ScondottoDepartment of Medicine, University of Verona, Verona, Italy.
Liberata SportielloDepartment of Experimental Medicine, University of Campania "Vanvitelli", Naples, Italy.
Maddalena TomaTEDDY European Network of Excellence for Paediatric Clinical Research, Pavia, Italy.
Massoud ToussiData Science Hub, Real World Solutions, IQVIA, London, UK.
Katia VerhammeDepartment of Medical Informatics, Erasmus Medical Centre, Rotterdam, The Netherlands.
Elisabetta VolpeTEDDY European Network of Excellence for Paediatric Clinical Research, Pavia, Italy.
Gianluca TrifiròDepartment of Diagnostics and Public Health, University of Verona, Verona, Italy.
On behalf the Working Group 3 of ENCePP (Inventory of EU data sources and methodological approaches for multisource studies)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe European post-authorisation study (EU PAS) register is a repository launched in 2010 by the European Medicines Agency (EMA). All EMA-requested PAS, commonly observational studies, must be recorded in this register. Multi-database studies (MDS) leveraging secondary data have become an important strategy to conduct PAS in recent years, as reflected by the type of studies registered in the EU PAS register.

objectivesTo analyse and describe PAS in the EU PAS register, with focus on MDS.

methodsStudies in the EU PAS register from inception to 31st December 2018 were described concerning transparency, regulatory obligations, scope, study type (e.g., observational study, clinical trial, survey, systematic review/meta-analysis), study design, type of data collection and target population. MDS were defined as studies conducted through secondary use of >1 data source not linked at patient-level. Data extraction was carried out independently by 14 centres with expertise in pharmacoepidemiology, using publicly available information in the EU PAS register including study protocol, whenever available, using a standardised data collection form. For validation purposes, a second revision of key fields for a 15% random sample of studies was carried out by a different centre. The inter-rater reliability (IRR) was then calculated. Finally, to identify predictors of primary data collection-based studies/versus those based on secondary use of healthcare databases) or MDS (vs. non-MDS), odds ratios (OR) and 95% confidence intervals (CI) were calculated fitting univariate logistic regression models.

resultsOverall, 1426 studies were identified. Clinical trials (N = 30; 2%), systematic reviews/meta-analyses (N = 16; 1%) and miscellaneous study designs (N = 46; 3%) were much less common than observational studies (N = 1227; 86%). The protocol was available for 63% (N = 360) of 572 observational studies requested by a competent authority. Overall, 36% (N = 446) of observational studies were based fully or partially on primary data collection. Of 757 observational studies based on secondary use of data alone, 282 (37%) were MDS. Drug utilisation was significantly more common as a study scope in MDS compared to non-MDS studies. The overall percentage agreement among collaborating centres that collected the data concerning study variables was highest for study type (93.5%) and lowest for type of secondary data (67.8%).

conclusionsObservational studies were the most common type of studies in the EU PAS register, but 30% used primary data, which is more resource-intensive. Almost half of observational studies using secondary data were MDS. Data recording in the EU PAS register may be improved further, including more widespread availability of study protocols to improve transparency.

Indexed as

PharmacoepidemiologyResearch DesignDatabases, FactualHumansObservational Studies as TopicReproducibility of ResultsSurveys and QuestionnairesEU PAS registermulti-database studiespost-authorization studies

Identifiers

PMID35092329
PMCPMC9303697

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.