ArticleEuropean journal of clinical pharmacology2025
Establishment of a visualization platform for ADR query and analysis: an example of severe skin adverse reactions caused by sulfonylureas.
Article in European journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Design Principles for Interactive Dashboards in Drug Safety Surveillance: Design Science Research.JMIR medical informatics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeThis study aimed to develop a visualization platform for querying and analysing data from the FDA Adverse Event Reporting System (FAERS) to support the efficient collection, review, and analysis of adverse drug reactions (ADRs) for pharmacovigilance.
methodsData acquisition, cleaning, and integration processes were conducted to prepare FAERS data for analysis. The platform was designed with key functionalities, including multi-condition query, drug and ADR query, primary ID query, and interactive visualizations. Usability was demonstrated through a case study investigating the association between sulfonylureas and serious skin ADRs. Additionally, the platform's accuracy was validated by comparing its outputs with manually retrieved and visualized data using a separate test case involving aspirin and tremor.
resultsThe platform provides an interface with advanced query and visualization features, enabling users to efficiently retrieve, analyse, and visualize ADR data. Usability was illustrated by dynamically exploring FAERS data to identify safety signals for sulfonylureas and serious skin ADRs. The validation process confirmed the platform's reliability by showing consistent results with manually processed data, demonstrating its potential to streamline PV workflows and improve data interpretation.
conclusionThe visualization platform represents a novel and practical tool for pharmacovigilance research. By offering intuitive data query and analysis capabilities, the platform supports drug safety monitoring and promotes the development of pharmacovigilance practices.
Indexed as
Identifiers
40295355What OpenQuestion holds
Registered trials
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.