ArticleDrug safety2015
Computational approaches for pharmacovigilance signal detection: toward integrated and semantically-enriched frameworks.
Article in Drug safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled 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.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational Advances in Drug Safety: Systematic and Mapping Review of Knowledge Engineering Based Approaches.Frontiers in pharmacology · 2019Pooled it
- An informatics framework to harmonize electronic health record medication data for managed care analytics and artificial intelligence applications.Journal of managed care & specialty pharmacy · 2026Article
- Global pharmacovigilance reporting: comparative analysis of adverse event obligations across five major regulatory authorities.Frontiers in drug safety and regulation · 2026Article
- An interpretable machine learning framework for adverse drug reaction prediction from drug-target interactions.PloS one · 2026Article
- Article
- Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024Review
- Editorial: Traditional and innovative approaches for signal detection.Frontiers in drug safety and regulation · 2024Article
- Pharmacovigilance: reporting requirements throughout a product's lifecycle.Therapeutic advances in drug safety · 2022Review
- Exploring Novel Computable Knowledge in Structured Drug Product Labels.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Future Directions of Pharmacovigilance Studies Using Electronic Medical Recording and Human Genetic Databases.Toxicological research · 2019Review
- New Insights in Computational Methods for Pharmacovigilance:International journal of environmental research and public health · 2019Article
- Development of a Controlled Vocabulary-Based Adverse Drug Reaction Signal Dictionary for Multicenter Electronic Health Record-Based Pharmacovigilance.Drug safety · 2019Article
- From Data Silos to Standardized, Linked, and FAIR Data for Pharmacovigilance: Current Advances and Challenges with Observational Healthcare Data.Drug safety · 2019Article
- E-Synthesis: A Bayesian Framework for Causal Assessment in Pharmacosurveillance.Frontiers in pharmacology · 2019Article
- Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research.CPT: pharmacometrics & systems pharmacology · 2018Review
- Article
- Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.Journal of biomedical semantics · 2017Article
- Clinical Research Informatics Contributions from 2015.Yearbook of medical informatics · 2016Article
- Making sense of big data in health research: Towards an EU action plan.Genome medicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational signal detection constitutes a key element of postmarketing drug monitoring and surveillance. Diverse data sources are considered within the 'search space' of pharmacovigilance scientists, and respective data analysis methods are employed, all with their qualities and shortcomings, towards more timely and accurate signal detection. Recent systematic comparative studies highlighted not only event-based and data-source-based differential performance across methods but also their complementarity. These findings reinforce the arguments for exploiting all possible information sources for drug safety and the parallel use of multiple signal detection methods. Combinatorial signal detection has been pursued in few studies up to now, employing a rather limited number of methods and data sources but illustrating well-promising outcomes. However, the large-scale realization of this approach requires systematic frameworks to address the challenges of the concurrent analysis setting. In this paper, we argue that semantic technologies provide the means to address some of these challenges, and we particularly highlight their contribution in (a) annotating data sources and analysis methods with quality attributes to facilitate their selection given the analysis scope; (b) consistently defining study parameters such as health outcomes and drugs of interest, and providing guidance for study setup; (c) expressing analysis outcomes in a common format enabling data sharing and systematic comparisons; and (d) assessing/supporting the novelty of the aggregated outcomes through access to reference knowledge sources related to drug safety. A semantically-enriched framework can facilitate seamless access and use of different data sources and computational methods in an integrated fashion, bringing a new perspective for large-scale, knowledge-intensive signal detection.
Indexed as
Identifiers
What 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.